latest research topics in computer science 2022

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Computer science articles from across Nature Portfolio

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching large volumes of information or encrypting data so that it can be stored and transmitted securely.

Latest Research and Reviews

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Fine tuning deep learning models for breast tumor classification

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Classification performance assessment for imbalanced multiclass data

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News and Comment

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

• Algorithms & data structures
• Artificial intelligence ( AI )
• Computer networking
• Database systems
• Human-computer interaction
• Information security (IS)
• Software engineering
• Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

• An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
• A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
• An evaluation of machine learning algorithms used for recommender systems in streaming services
• A review of approximation algorithm approaches for solving NP-hard problems
• An analysis of parallel algorithms for high-performance computing of genomic data
• The influence of data structures on optimal algorithm design and performance in Fintech
• A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
• A comparison of streaming algorithm performance for the detection of elephant flows
• A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
• Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
• Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
• A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
• A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
• Exploring the feasibility of applying information theory to feature extraction in retail datasets.
• Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

• Applying deep learning algorithms for speech recognition in speech-impaired children
• A review of the impact of artificial intelligence on decision-making processes in stock valuation
• An evaluation of reinforcement learning algorithms used in the production of video games
• An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
• An analysis of the ethical and social implications of artificial intelligence-based automated marking
• The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
• An examination of the use of artificial intelligence in orthopaedic surgery
• The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
• An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
• A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

• An analysis of the impact of 5G technology on internet penetration in rural Tanzania
• Assessing the role of software-defined networking (SDN) in modern cloud-based computing
• A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
• Exploring the influence of cloud computing on security risks in fintech.
• An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
• Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
• An evaluation of the challenges and opportunities in 6G wireless network adoption
• The role of network congestion control algorithms in improving network performance on streaming platforms
• An analysis of network coding-based approaches for data security
• Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Topics & Ideas: Database Systems

• An analysis of big data management systems and technologies used in B2B marketing
• The impact of NoSQL databases on data management and analysis in smart cities
• An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
• Exploring the role of data warehousing and business intelligence in global consultancies
• An analysis of the use of graph databases for data modelling and analysis in recommendation systems
• The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
• An examination of the challenges and opportunities of distributed databases in supply chain management
• Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
• An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
• Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

• An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
• An exploration of how artificial intelligence is changing human-computer interaction patterns in children
• An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
• Assessing the influence of virtual and augmented reality on consumer purchasing patterns
• An examination of the use of gesture-based interfaces in architecture
• Exploring the impact of ease of use in wearable technology on geriatric user
• Evaluating the ramifications of gamification in the Metaverse
• A systematic review of user experience (UX) design advances associated with Augmented Reality
• A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
• Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Topics & Ideas: Information Security

• A bibliometric review of current trends in cryptography for secure communication
• An analysis of secure multi-party computation protocols and their applications in cloud-based computing
• An investigation of the security of blockchain technology in patient health record tracking
• A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
• A systematic review of secure data storage solutions used for cloud computing in the fintech industry
• An analysis of intrusion detection and prevention systems used in the healthcare sector
• Assessing security best practices for IoT devices in political offices
• An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
• A comparative study of digital signature schemes adoption in property transfers
• An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

• A study of agile software development methodologies and their impact on project success in pharmacology
• Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
• A study of the impact of DevOps practices on software development and delivery in the healthcare sector
• An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
• A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
• An investigation of software testing techniques and methodologies for subscription-based offerings
• A review of software security practices and techniques for protecting against phishing attacks from social media
• An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
• Exploring the impact of software development outsourcing on project success in multinational contexts
• An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• An array-based optimization framework for query processing and data analytics (Chen, 2021)
• Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
• Embedding constructural documentation in unit tests (Nassif, 2019)
• PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
• Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
• Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
• Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
• Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
• Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
• Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
• Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
• A state-based approach to context modeling and computing (Yue, 2019)
• A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
• HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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7 Important Computer Science Trends 2022-2025

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Here are the 7 fastest-growing computer science trends happening right now.

And how these technologies are challenging the status quo in the office and on college campuses.

Whether you’re a fresh computer science graduate or a veteran IT executive, these are the top trends to explore.

1. Quantum Computing Makes Waves

Quantum computing is the use of quantum mechanics, such as entanglement and superposition, to perform computations.

It uses quantum bits ( qubits ) in a similar way that regular computers use bits.

Quantum computers have the potential to solve problems that would take the world’s most powerful supercomputers  millions of years .

Companies including IBM, Microsoft and Google are all in competition to build reliable quantum computers.

In fact, In September 2019, Google AI and NASA  published a joint paper  that claimed to have achieved “quantum supremacy”.

This is when a quantum computer outperforms a traditional one at a particular task.

Quantum computers have the potential to completely transform data science.

They also have the potential to accelerate the development of artificial intelligence, virtual reality, big data, deep learning, encryption, medicine and more.

The downside is that quantum computers are currently incredibly difficult to build and sensitive to interference.

Despite current limitations, it’s fair to expect further advances from Google and others that will help make quantum computers practical to use.

Which would position quantum computing as one of the most important computer science trends in the coming years.

2. Zero Trust Becomes The Norm

Most information security frameworks used by organizations use traditional trust authentication methods (like passwords).

These frameworks focus on protecting network access.

And they assume that anyone that has access to the network should be able to access any data and resources they’d like.

There’s a big downside to this approach: a bad actor who has got in via any entry point can then move around freely to access all data or delete it altogether.

Zero Trust information security models aim to prevent this potential vulnerability. 

Zero Trust models replace the old assumption that every user within an organization’s network can be trusted.

Instead, nobody is trusted, whether they’re already inside or outside the network.

Verification is required from everyone trying to gain access to  any  resource on the network.

Huge companies like Cisco are investing heavily to develop Zero Trust solutions.

This security architecture is quickly moving from just a computer science concept to industry best practice.

And it’s little wonder why: IBM reports that  the average data breach costs a company $3.86 million in damages .

And that it takes an average of 280 days to fully recover.

We will see demand for this technology continue to skyrocket in 2022 and beyond as businesses adopt Zero Trust security to mitigate this risk.

3. Cloud Computing Hits The Edge

“ Edge computing ” searches have risen 233% over the past five years. This market may be worth $8.67 billion by 2025.

Gartner estimates that  80% of enterprises  will shut down their traditional data centers by 2025.

This is mainly because traditional cloud computing relies on servers in one central location.

If the end-user is in another country, they have to wait while data travels thousands of miles.

Latency issues like this can really hamper an application’s performance (especially for high-bandwidth media, like video).

Which is why many companies are moving over to edge computing service providers instead.

Modern  edge computing  brings computation, data storage, and data analytics as close as possible to the end-user location.

And when edge servers host web applications the result is massively improved response times.

As a result,  some estimates suggest  that the edge computing market will be worth $61.14 billion by 2028.

And Content Delivery Networks like  Cloudflare  that make edge computing easy and accessible will increasingly power the web.

4. Kotlin Overtakes Java

“ Kotlin ” searches are up 378% since 2017. Interest in this programming language rocketed in 2017.

Kotlin  is a general-purpose programming language that first appeared in 2011.

It’s designed specifically to be a more concise and streamlined version of Java.

And so it works for both JVM (Java Virtual Machine) and Android development.

Kotlin is billed as a modern programming language that makes developers happier.

There are over  7 million  Java programmers in the world right now.

Since Kotlin offers big advantages over Java, we can expect more and more programmers to make the switch between 2022 and 2025.

Google even made the announcement in 2019  that Kotlin is now its preferred language for Android app developers.

5. The Web Becomes More Standardized

REST (Representational State Transfer) web services power the internet and the data behind it.

But the structure of each REST API data source varies wildly.

It depends entirely on how the individual programmer behind it decided to design it.

The OpenAPI Specification (OAS) changes this. It’s essentially a description format for REST APIs.

Data sources that implement OAS are easy to learn and readable to both humans and machines.

This is because an OpenAPI file describes the entire API, including available endpoints, operations and outputs.

This standardization enables the automation of previously time-consuming tasks.

For example, tools like  Swagger  generate code, documentation and test cases given the OAS interface file.

This can save a huge amount of engineering time both upfront and in the long run.

Another technology that takes this concept to the next level is  GraphQL . This is a data query language for APIs  developed at Facebook .

It provides a complete description of the data available in a particular source. And it also gives clients the ability to ask for only the specific parts of the data they need and nothing more.

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data.

It too has become widely used and massively popular. Frameworks and specifications like this that standardize all aspects of the internet will continue to gain wide adoption.

6. More Digital Twins

Interest in “ Digital twin ” has steadily grown (327%) over the last five years.

A digital twin is a software representation of a real-world entity or process, from which you can generate and analyze simulation data.

This way you can improve efficiency and avoid problems before devices are even built and deployed.

GE is the big name in the field and  has developed internal digital twin technology  to improve its own jet-engine manufacturing process.

GE’s Predix platform is a huge player in the digital twin technology market.

This technology was initially only available at the big enterprise level, with GE’s Predix industrial Internet of Things (IoT) platform.

But now we’re seeing its usage permeate across other sectors like retail warehousing, auto manufacturing, and healthcare planning.

Yet case studies of these real-world use cases are thin on the ground, so the people that produce them will set themselves up as industry experts in their field.

7. Demand For Cybersecurity Expertise Skyrockets

“ Hack The Box ” searches have increased by 490% over five years.

According to CNET,  at least 7.9 billion records  (including credit card numbers, home addresses and phone numbers) were exposed through data breaches in 2019 alone.

As a consequence, large numbers of companies seek cybersecurity expertise to protect themselves.

Hack The Box  is an online platform that has a wealth of educational information and hundreds of cybersecurity-themed challenges.

And they have 290,000 active users that test and improve their skills in penetration testing.

So they’ve become the go-to place for companies to recruit new talent for their cybersecurity teams.

Hack The Box is a hacker haven both in terms of content and design.

And software that helps people to identify if they’ve had their credentials compromised by data breaches will also trend.

One of the most well-known tools currently is  Have I Been Pwned .

It allows you to search across multiple data breaches to see if your email address has been compromised.

That’s our list of the 7 most important computer science trends to keep an eye on over the next 4-5 years.

From machine learning to blockchain to AR, it’s an exciting time to be in the computer science field.

CS has always been a rapidly-changing industry.

But with the growth of completely new technologies (especially cloud computing and machine learning), it’s fair to expect that the rate of change will increase in 2022 and beyond.

Subscribe to the PwC Newsletter

Join the community, trending research, lcb-net: long-context biasing for audio-visual speech recognition.

The growing prevalence of online conferences and courses presents a new challenge in improving automatic speech recognition (ASR) with enriched textual information from video slides.

Sound Multimedia Audio and Speech Processing

Empowering Robotics with Large Language Models: osmAG Map Comprehension with LLMs

In this letter, we address the problem of enabling LLMs to comprehend Area Graph, a text-based map representation, in order to enhance their applicability in the field of mobile robotics.

ViPlanner: Visual Semantic Imperative Learning for Local Navigation

This optimization uses a differentiable formulation of a semantic costmap, which enables the planner to distinguish between the traversability of different terrains and accurately identify obstacles.

Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC

TinyMPC/TinyMPC • 26 Mar 2024

Conic constraints appear in many important control applications like legged locomotion, robotic manipulation, and autonomous rocket landing.

Robotics Systems and Control Systems and Control Optimization and Control

Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

Molecular optimization is a fundamental goal in the chemical sciences and is of central interest to drug and material design.

Computational Engineering, Finance, and Science Biomolecules

Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In

pulp-platform/cheshire • 8 May 2023

Its RPC DRAM interface consumes only 250 pJ/B and incurs only 3. 5 kGE in area for its PHY while attaining a peak transfer rate of 750 MB/s at 200 MHz.

Hardware Architecture

Mapping Out the HPC Dependency Chaos

fzakaria/shrinkwrap • 22 Oct 2022

High Performance Computing~(HPC) software stacks have become complex, with the dependencies of some applications numbering in the hundreds.

Software Engineering Mathematical Software

Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU

We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra.

Data Structures and Algorithms Distributed, Parallel, and Cluster Computing

Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting

april-zju/coco-lic • 10 Apr 2024

We present a real-time LiDAR-Inertial-Camera SLAM system with 3D Gaussian Splatting as the mapping backend.

Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes

zju-fast-lab/implicit-svsdf-planner • 1 May 2024

In the field of trajectory generation for objects, ensuring continuous collision-free motion remains a huge challenge, especially for non-convex geometries and complex environments.

Robotics Computational Geometry Graphics

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How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

• Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
• Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
• Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
• Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

• Machine learning driven design
• Generative models for structured discrete objects
• Approximate inference in probabilistic models
• Accelerating solutions to partial differential equations
• Innovative uses of automatic differentiation
• Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

• Research Areas: Formal methods, programming languages, compilers, computer security.
• Software verification (for which taking COS 326 / COS 510 is helpful preparation)
• Game theory of poker or other games (for which COS 217 / 226 are helpful)
• Computer game-playing programs (for which COS 217 / 226)
•  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

• Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
• Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
• Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
• Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
• Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

• Research Areas: Computer Architecture, Compilers, Parallelism
• Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
• Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
• Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

• Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
• Topics in computational and communication complexity.
• Applications of information theory in complexity theory.
• Algorithms for problems under real-life assumptions.
• Game theory, network effects
• Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

• Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
• Methods for collaborative and continual learning.
• Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

• Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
• Natural algorithms (flocking, swarming, social networks, etc).
• Sublinear algorithms
• Self-improving algorithms
• Markov data structures

Danqi Chen, Room 412

• My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
• Representation learning for text and knowledge bases
• Pre-training and transfer learning
• Question answering and reading comprehension
• Information extraction
• Text summarization
• Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

• Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
• Research Areas: Machine learning

Jia Deng, Room 423

•  Research Areas: Computer Vision, Machine Learning.
• Object recognition and action recognition
• Deep Learning, autoML, meta-learning
• Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

• Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

• Research Areas:  Software engineering; software engineering education.
• Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
• In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

• Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
• Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

• Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
• Using RL algorithms to applications in science and engineering.
• Emergent behavior of RL algorithms on high-fidelity robotic simulators.
• Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

• Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
• Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
• Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
• Quantitative approaches to theoretical linguistics questions
• Extensions and interfaces for WordNet (English and WN in other languages),
• Applications of WordNet(s), including:
• Foreign language tutoring systems,
• Spelling correction software,
• Word-finding/suggestion software for ordinary users and people with memory problems,
• Machine Translation 
• Sentiment and Opinion detection
• Automatic reasoning and inferencing
• Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

• Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

• Networking and telecommunications
• Learning, perception, and intelligence, artificial and otherwise;
• Human-computer interaction and computer-supported cooperative work
• Online education, especially in Computer Science Education
• Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
• Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

• Research Areas: Distributed systems, security, networking
• Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

• Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
• Develop a technique for understanding AI models
• Design a AI model that is interpretable by design
• Build a paradigm for detecting and/or correcting failure points in an AI model
• Analyze an existing AI model and/or dataset to better understand its failure points
• Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
• Develop a software package for explainable AI
• Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Available for Fall 2024 single-semester IW advising, only

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

• Research Areas: Formal methods, program analysis, logic decision procedures
• Finding bugs in open source software using automatic verification tools
• Software verification (program analysis, model checking, test generation)
• Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

• Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
• Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
• Implementation and algorithm engineering for control, reinforcement learning and robotics
• Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

• Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
• Optical Neural Networks
• Hardware-in-the-loop Holography
• Zero-shot and Simulation-only Learning
• Object recognition in extreme conditions
• 3D Scene Representations for View Generation and Inverse Problems
• Long-range Imaging in Scattering Media
• Hardware-in-the-loop Illumination and Sensor Optimization
• Inverse Lidar Design
• Phase Retrieval Algorithms
• Proximal Algorithms for Learning and Inference
• Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

• Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

• Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
• See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

• Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
• Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
• Software visualization tools for education
• Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

• Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
• Application-oriented languages, scripting languages.
• Tools; user interfaces
• Digital humanities

Zachary Kincaid, Room 219

• Research areas: programming languages, program analysis, program verification, automated reasoning
• Independent Research Topics:
• Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
• Design a domain-specific programming language, or prototype a new feature for an existing language.
• Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

• Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

• Research areas: Theory

Amit Levy, Room 307

• Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
• Distributed hardware testing infrastructure
• Second factor security tokens
• Low-power wireless network protocol implementation
• USB device driver implementation

Kai Li, Room 321

• Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
• Fast communication mechanisms for heterogeneous clusters.
• Approximate nearest-neighbor search for high dimensional data.
• Data analysis and prediction of in-patient medical data.
• Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

• Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
• Explore new statistical retrieval models for document retrieval and question answering.
• Apply AI in various fields.
• Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
• Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

• Research Areas: algorithmic decision making, machine learning and society
• Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
• Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
• Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
• Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

• Research areas: Distributed Systems
• Caching algorithms and implementations
• Storage systems
• Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

• Research Areas: Theory

Margaret Martonosi, Room 208

• Quantum Computing research, particularly related to architecture and compiler issues for QC.
• Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
• Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
• Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

Available for Spring 2025 single-semester IW, only

• Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
• Assessing the effects of government policies, both in the public and private sectors.
• Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
• Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

• Local-first / peer-to-peer systems
• Wide-ares storage systems
• Consistency and protocol design
• Type-safe concurrency
• Language design
• Gradual typing
• Domain-specific languages
• Languages for distributed systems

Andrés Monroy-Hernández, Room 405

• Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
• Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
• Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

• Research areas: Distributed systems, high-throughput computing, computer science/engineering education
• Expansion, improvement, and evaluation of open-source distributed computing software.
• Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
• Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
• Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

• Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

• Research areas: Natural Language Processing, Reinforcement Learning
• Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
• Transfer learning/generalization in NLP
• Techniques for generating natural language
• Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

• Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
• Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
• Possible research topics include:

1.   Quantum algorithms and circuits:

• i. Design or simulation quantum circuits implementing quantum algorithms.
• ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

• i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
• ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
• iii. Necessary and sufficient conditions for tractability of Weighted problems.
• iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

• i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

• Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
• Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

• Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
• Implementation and application of algorithms to infer evolutionary processes in cancer
• Identifying correlations between combinations of genomic mutations in human and cancer genomes
• Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
• Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

• Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
• Constructing a new method to explain a model / create an interpretable by design model
• Analyzing a current model / dataset to understand bias within the model/dataset
• Proposing new fairness evaluations
• Proposing new methods to train to improve fairness
• Developing synthetic datasets for fairness / interpretability benchmarks
• Understanding robustness of models

Ran Raz, Room 240

• Research Area: Computational Complexity
• Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

• Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
• Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
• Investigate approaches to robust 3D scan matching
• Model and compensate for imperfections in 3D printing
• Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

• Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
• Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
• Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
• Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

• Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
• Gamification of neuroscience (EyeWire  2.0)
• Semantic segmentation and object detection in brain images from microscopy
• Computational analysis of brain structure and function
• Neural network theories of brain function

Jaswinder Pal Singh, Room 324

• Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
• Develop a startup company idea, and build a plan/prototype for it.
• Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
• Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
• Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
• Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

• Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
• Whole and cross-genome methods for predicting protein function and protein-protein interactions.
• Analysis and prediction of biological networks.
• Computational methods for inferring specific aspects of protein structure from protein sequence data.
• Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

• Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
• Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
• Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

• Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
• Implement and evaluate one or more gene expression analysis algorithm.
• Develop algorithms for assessment of performance of genomic analysis methods.
• Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

• Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
• Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

• Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

• Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
• Design and implement computer visualizations of algorithms or data structures.
• Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
• Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

• Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
• Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
• Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

• data structures
• streaming algorithms
• design and analyze data structures / streaming algorithms
• prove impossibility results (lower bounds)
• implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

• Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

• Documentation of historic structures
• Cyber physical systems for structural health monitoring
• Developing virtual and augmented reality applications for documenting structures
• Applying machine learning techniques to generate 3D models from 2D plans of buildings
•  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

• Consumer protection
• Content regulation
• Competition law
• Economic development
• Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

• Design of reliable hardware systems
• Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

• Internet security and privacy 
• Social Networks
• Privacy technologies, anonymous communication
• Network Science
• Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
• Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
• Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

• Research Areas: Memory, the brain and computation 
• Lab:  Princeton Computational Memory Lab

Potential research topics

• Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
• Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

• Apply game theory to sustainability challenges
• Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
• How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

• Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
• Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

• Instrument Princeton's Green (HPCRC) data center
• Investigate power utilization on an processor core implemented in an FPGA
• Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
• Other topics in parallel computer architecture or operating systems

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Science News

Here are 5 record-breaking science discoveries from 2022.

This human skeleton (shown from the waist down) from the island of Borneo bears evidence that the lower left leg was amputated roughly 31,000 years ago.

T.R. MALONEY ET AL / NATURE 2022

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By Erin Wayman

December 21, 2022 at 9:00 am

New scientific records are set every year, and 2022 was no exception. A bacterial behemoth, a shockingly speedy supercomputer and a close-by black hole are among the most notable superlatives of the year.

Earliest surgery

The first known surgical operation was a leg amputation ( SN: 10/8/22 & 10/22/22, p. 5 ). That’s the conclusion researchers came to after investigating the skeleton of a person who lived on the Indonesian island of Borneo about 31,000 years ago. Healed bone where the lower left leg had been removed suggests the individual survived for several years after the procedure. The discovery pushes surgery’s origin back by some 20,000 years.

Biggest single-celled bacterium

Bacteria normally dwell in the microscopic world. Not Thiomargarita magnifica . Averaging about a centimeter long, this newfound bacterium is visible to the naked eye ( SN: 7/16/22 & 7/30/22, p. 17 ). T. magnifica , which lives in the mangrove forests of the Caribbean’s Lesser Antilles, is about 50 times larger than other species of big bacteria and about 5,000 times larger than typical bacteria. Why this species evolved into such a giant is unknown.

Fastest supercomputer

A supercomputer named Frontier crunched numbers with mind-blowing speed this year: 1.1 quintillion operations per second ( SN Online: 6/1/22 ). That makes the machine, run by Oak Ridge National Laboratory in Tennessee, the first exascale computer — a computer that can perform at least 10 18 operations per second. The next fastest computer tops out at 442 quadrillion (that’s 10 15 ) operations per second. Exascale computing is expected to lead to breakthroughs in everything from climate science to health to particle physics.

Largest fish colony

Deep off the coast of Antarctica, icefish congregate in a breeding colony as big as Orlando, Fla. Some 60 million nests of Jonah’s icefish ( Neopagetopsis ionah ) stretch across at least 240 square kilometers of seafloor ( SN: 2/12/22, p. 12 ). Previously, nest-building species of fish were known to gather in only the hundreds. An abundant food supply and access to a zone of unusually warm water may explain the exceptionally large group.

Closest black hole

By sifting through data released by the Gaia spacecraft, astrophysicists discovered a black hole that’s just over 1,560 light-years from Earth ( SN Online: 11/4/22 ). Dubbed Gaia BH1, it’s about twice as close as the previously nearest known black hole. But that record may not stand. About 100 million black holes are predicted to exist in the Milky Way. Since most are invisible, they’re hard to find. But when Gaia, which is precisely mapping a billion stars, releases its next batch of data in a few years, even closer black holes may turn up.

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Research guidance, Research Journals, Top Universities

Ph.D. Topics in Computer Science

While there are many topics, you should choose the research topic according to your personal interest. However, the topic should also be chosen on market demand. The topic must address the common people’s problems.

In this blog post, we are listing important and popular Ph.D. (Research) topics in Computer Science .

PhD in Computer Science 2023: Admission, Eligibility

Page Contents

The hottest topics in computer science

• Artificial Intelligence.
• Machine Learning Algorithms.
• Deep Learning.
• Computer Vision.
• Natural Language Processing.
• Blockchain.
• Various applications of ML range: Healthcare, Urban Transportation, Smart Environments, Social Networks, etc.
• Autonomous systems.
• Data Privacy and Security.
• Lightweight and Battery efficient Communication Protocols.
• Sensor Networks
• 5G and its protocols.
• Quantum Computing.
• Cryptography.

Cybersecurity

• Bioinformatics/Biotechnology
• Computer Vision/Image Processing
• Cloud Computing

Other good research topics for Ph.D. in computer science

Bioinformatics.

• Modeling Biological systems.
• Analysis of protein expressions.
• computational evolutionary biology.
• Genome annotation.
• sequence Analysis.

Internet of things

• adaptive systems and model at runtime.
• machine-to-machine communications and IoT.
• Routing and control protocols.
• 5G Network and internet of things.
• Body sensors networks, smart portable devices.

Cloud computing

• How to negotiate service level platform.
• backup options for the cloud.
• Secure data management, within and across data centers.
• Cloud access control and key management.
• secure computation outsourcing.
• most enormous data breach in the 21st century.
• understanding authorization infrastructures.
• cybersecurity while downloading files.
• social engineering and its importance.
• Big data adoption and analytics of a cloud computing platform.
• Identify fake news in real-time.
• neural machine translation to the local language.
• lightweight big data analytics as a service.
• automated deployment of spark clusters.

Machine learning

• The classification technique for face spoof detection in an artificial neural network.
• Neuromorphic computing computer vision.
• online fraud detection.
• the purpose technique for prediction analysis in data mining.
• virtual personal assistant’s predictions.

More posts to read :

• How to start a Ph.D. research program in India?
• Best tools, and websites for Ph.D. students/ researchers/ graduates
• Ph.D. Six-Month Progress Report Sample/ Format
• UGC guidelines for Ph.D. thesis submission 2021

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100 Great Computer Science Research Topics Ideas for 2023

Being a computer student in 2023 is not easy. Besides studying a constantly evolving subject, you have to come up with great computer science research topics at some point in your academic life. If you’re reading this article, you’re among many other students that have also come to this realization.

Interesting Computer Science Topics

Awesome research topics in computer science, hot topics in computer science, topics to publish a journal on computer science.

• Controversial Topics in Computer Science

Fun AP Computer Science Topics

Exciting computer science ph.d. topics, remarkable computer science research topics for undergraduates, incredible final year computer science project topics, advanced computer science topics, unique seminars topics for computer science, exceptional computer science masters thesis topics, outstanding computer science presentation topics.

• Key Computer Science Essay Topics

Main Project Topics for Computer Science

• We Can Help You with Computer Science Topics

Whether you’re earnestly searching for a topic or stumbled onto this article by accident, there is no doubt that every student needs excellent computer science-related topics for their paper. A good topic will not only give your essay or research a good direction but will also make it easy to come up with supporting points. Your topic should show all your strengths as well.

Fortunately, this article is for every student that finds it hard to generate a suitable computer science topic. The following 100+ topics will help give you some inspiration when creating your topics. Let’s get into it.

One of the best ways of making your research paper interesting is by coming up with relevant topics in computer science . Here are some topics that will make your paper immersive:

• Evolution of virtual reality
• What is green cloud computing
• Ways of creating a Hopefield neural network in C++
• Developments in graphic systems in computers
• The five principal fields in robotics
• Developments and applications of nanotechnology
• Differences between computer science and applied computing

Your next research topic in computer science shouldn’t be tough to find once you’ve read this section. If you’re looking for simple final year project topics in computer science, you can find some below.

• Applications of the blockchain technology in the banking industry
• Computational thinking and how it influences science
• Ways of terminating phishing
• Uses of artificial intelligence in cyber security
• Define the concepts of a smart city
• Applications of the Internet of Things
• Discuss the applications of the face detection application

Whenever a topic is described as “hot,” it means that it is a trendy topic in computer science. If computer science project topics for your final years are what you’re looking for, have a look at some below:

• Applications of the Metaverse in the world today
• Discuss the challenges of machine learning
• Advantages of artificial intelligence
• Applications of nanotechnology in the paints industry
• What is quantum computing?
• Discuss the languages of parallel computing
• What are the applications of computer-assisted studies?

Perhaps you’d like to write a paper that will get published in a journal. If you’re searching for the best project topics for computer science students that will stand out in a journal, check below:

• Developments in human-computer interaction
• Applications of computer science in medicine
• Developments in artificial intelligence in image processing
• Discuss cryptography and its applications
• Discuss methods of ransomware prevention
• Applications of Big Data in the banking industry
• Challenges of cloud storage services in 2023

 Controversial Topics in Computer Science

Some of the best computer science final year project topics are those that elicit debates or require you to take a stand. You can find such topics listed below for your inspiration:

• Can robots be too intelligent?
• Should the dark web be shut down?
• Should your data be sold to corporations?
• Will robots completely replace the human workforce one day?
• How safe is the Metaverse for children?
• Will artificial intelligence replace actors in Hollywood?
• Are social media platforms safe anymore?

Are you a computer science student looking for AP topics? You’re in luck because the following final year project topics for computer science are suitable for you.

• Standard browser core with CSS support
• Applications of the Gaussian method in C++ development in integrating functions
• Vital conditions of reducing risk through the Newton method
• How to reinforce machine learning algorithms.
• How do artificial neural networks function?
• Discuss the advancements in computer languages in machine learning
• Use of artificial intelligence in automated cars

When studying to get your doctorate in computer science, you need clear and relevant topics that generate the reader’s interest. Here are some Ph.D. topics in computer science you might consider:

• Developments in information technology
• Is machine learning detrimental to the human workforce?
• How to write an algorithm for deep learning
• What is the future of 5G in wireless networks
• Statistical data in Maths modules in Python
• Data retention automation from a website using API
• Application of modern programming languages

Looking for computer science topics for research is not easy for an undergraduate. Fortunately, these computer science project topics should make your research paper easy:

• Ways of using artificial intelligence in real estate
• Discuss reinforcement learning and its applications
• Uses of Big Data in science and medicine
• How to sort algorithms using Haskell
• How to create 3D configurations for a website
• Using inverse interpolation to solve non-linear equations
• Explain the similarities between the Internet of Things and artificial intelligence

Your dissertation paper is one of the most crucial papers you’ll ever do in your final year. That’s why selecting the best ethics in computer science topics is a crucial part of your paper. Here are some project topics for the computer science final year.

• How to incorporate numerical methods in programming
• Applications of blockchain technology in cloud storage
• How to come up with an automated attendance system
• Using dynamic libraries for site development
• How to create cubic splines
• Applications of artificial intelligence in the stock market
• Uses of quantum computing in financial modeling

Your instructor may want you to challenge yourself with an advanced science project. Thus, you may require computer science topics to learn and research. Here are some that may inspire you:

• Discuss the best cryptographic protocols
• Advancement of artificial intelligence used in smartphones
• Briefly discuss the types of security software available
• Application of liquid robots in 2023
• How to use quantum computers to solve decoherence problem
• macOS vs. Windows; discuss their similarities and differences
• Explain the steps taken in a cyber security audit

When searching for computer science topics for a seminar, make sure they are based on current research or events. Below are some of the latest research topics in computer science:

• How to reduce cyber-attacks in 2023
• Steps followed in creating a network
• Discuss the uses of data science
• Discuss ways in which social robots improve human interactions
• Differentiate between supervised and unsupervised machine learning
• Applications of robotics in space exploration
• The contrast between cyber-physical and sensor network systems

Are you looking for computer science thesis topics for your upcoming projects? The topics below are meant to help you write your best paper yet:

• Applications of computer science in sports
• Uses of computer technology in the electoral process
• Using Fibonacci to solve the functions maximum and their implementations
• Discuss the advantages of using open-source software
• Expound on the advancement of computer graphics
• Briefly discuss the uses of mesh generation in computational domains
• How much data is generated from the internet of things?

A computer science presentation requires a topic relevant to current events. Whether your paper is an assignment or a dissertation, you can find your final year computer science project topics below:

• Uses of adaptive learning in the financial industry
• Applications of transitive closure on graph
• Using RAD technology in developing software
• Discuss how to create maximum flow in the network
• How to design and implement functional mapping
• Using artificial intelligence in courier tracking and deliveries
• How to make an e-authentication system

 Key Computer Science Essay Topics

You may be pressed for time and require computer science master thesis topics that are easy. Below are some topics that fit this description:

• What are the uses of cloud computing in 2023
• Discuss the server-side web technologies
• Compare and contrast android and iOS
• How to come up with a face detection algorithm
• What is the future of NFTs
• How to create an artificial intelligence shopping system
• How to make a software piracy prevention algorithm

One major mistake students make when writing their papers is selecting topics unrelated to the study at hand. This, however, will not be an issue if you get topics related to computer science, such as the ones below:

• Using blockchain to create a supply chain management system
• How to protect a web app from malicious attacks
• Uses of distributed information processing systems
• Advancement of crowd communication software since COVID-19
• Uses of artificial intelligence in online casinos
• Discuss the pillars of math computations
• Discuss the ethical concerns arising from data mining

We Can Help You with Computer Science Topics, Essays, Thesis, and Research Papers

We hope that this list of computer science topics helps you out of your sticky situation. We do offer other topics in different subjects. Additionally, we also offer professional writing services tailor-made for you.

We understand what students go through when searching the internet for computer science research paper topics, and we know that many students don’t know how to write a research paper to perfection. However, you shouldn’t have to go through all this when we’re here to help.

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Latest Computer Science Research Topics for 2024

Home Blog Programming Latest Computer Science Research Topics for 2024

Everybody sees a dream—aspiring to become a doctor, astronaut, or anything that fits your imagination. If you were someone who had a keen interest in looking for answers and knowing the “why” behind things, you might be a good fit for research. Further, if this interest revolved around computers and tech, you would be an excellent computer researcher!

As a tech enthusiast, you must know how technology is making our life easy and comfortable. With a single click, Google can get you answers to your silliest query or let you know the best restaurants around you. Do you know what generates that answer? Want to learn about the science going on behind these gadgets and the internet?

For this, you will have to do a bit of research. Here we will learn about top computer science thesis topics and computer science thesis ideas.

Why is Research in Computer Science Important?

Computers and technology are becoming an integral part of our lives. We are dependent on them for most of our work. With the changing lifestyle and needs of the people, continuous research in this sector is required to ease human work. However, you need to be a certified researcher to contribute to the field of computers. You can check out Advance Computer Programming certification to learn and advance in the versatile language and get hands-on experience with all the topics of C# application development.

1. Innovation in Technology

Research in computer science contributes to technological advancement and innovations. We end up discovering new things and introducing them to the world. Through research, scientists and engineers can create new hardware, software, and algorithms that improve the functionality, performance, and usability of computers and other digital devices.

2. Problem-Solving Capabilities

From disease outbreaks to climate change, solving complex problems requires the use of advanced computer models and algorithms. Computer science research enables scholars to create methods and tools that can help in resolving these challenging issues in a blink of an eye.

3. Enhancing Human Life

Computer science research has the potential to significantly enhance human life in a variety of ways. For instance, researchers can produce educational software that enhances student learning or new healthcare technology that improves clinical results. If you wish to do Ph.D., these can become interesting computer science research topics for a PhD.

4. Security Assurance

As more sensitive data is being transmitted and kept online, security is our main concern. Computer science research is crucial for creating new security systems and tactics that defend against online threats.

Top Computer Science Research Topics

Before starting with the research, knowing the trendy research paper ideas for computer science exploration is important. It is not so easy to get your hands on the best research topics for computer science; spend some time and read about the following mind-boggling ideas before selecting one.

1. Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues, and Challenges

Welcome to the era of seamless connectivity and unparalleled efficiency! Blockchain and edge computing are two cutting-edge technologies that have the potential to revolutionize numerous sectors. Blockchain is a distributed ledger technology that is decentralized and offers a safe and transparent method of storing and transferring data.

As a young researcher, you can pave the way for a more secure, efficient, and scalable architecture that integrates blockchain and edge computing systems. So, let's roll up our sleeves and get ready to push the boundaries of technology with this exciting innovation!

Blockchain helps to reduce latency and boost speed. Edge computing, on the other hand, entails processing data close to the generation source, such as sensors and IoT devices. Integrating edge computing with blockchain technologies can help to achieve safer, more effective, and scalable architecture.

Moreover, this research title for computer science might open doors of opportunities for you in the financial sector.

2. A Survey on Edge Computing Systems and Tools

With the rise in population, the data is multiplying by manifolds each day. It's high time we find efficient technology to store it. However, more research is required for the same.

Say hello to the future of computing with edge computing! The edge computing system can store vast amounts of data to retrieve in the future. It also provides fast access to information in need. It maintains computing resources from the cloud and data centers while processing.

Edge computing systems bring processing power closer to the data source, resulting in faster and more efficient computing. But what tools are available to help us harness the power of edge computing?

As a part of this research, you will look at the newest edge computing tools and technologies to see how they can improve your computing experience. Here are some of the tools you might get familiar with upon completion of this research:

• Apache NiFi:  A framework for data processing that enables users to gather, transform, and transfer data from edge devices to cloud computing infrastructure.
• Microsoft Azure IoT Edge: A platform in the cloud that enables the creation and deployment of cutting-edge intelligent applications.
• OpenFog Consortium:  An organization that supports the advancement of fog computing technologies and architectures is the OpenFog Consortium.

3. Machine Learning: Algorithms, Real-world Applications, and Research Directions

Machine learning is the superset of Artificial Intelligence; a ground-breaking technology used to train machines to mimic human action and work. ML is used in everything from virtual assistants to self-driving cars and is revolutionizing the way we interact with computers. But what is machine learning exactly, and what are some of its practical uses and future research directions?

To find answers to such questions, it can be a wonderful choice to pick from the pool of various computer science dissertation ideas.

You will discover how computers learn several actions without explicit programming and see how they perform beyond their current capabilities. However, to understand better, having some basic programming knowledge always helps. KnowledgeHut’s Programming course for beginners will help you learn the most in-demand programming languages and technologies with hands-on projects.

During the research, you will work on and study

• Algorithm: Machine learning includes many algorithms, from decision trees to neural networks.
• Applications in the Real-world: You can see the usage of ML in many places. It can early detect and diagnose diseases like cancer. It can detect fraud when you are making payments. You can also use it for personalized advertising.
• Research Trend:  The most recent developments in machine learning research, include explainable AI, reinforcement learning, and federated learning.

While a single research paper is not enough to bring the light on an entire domain as vast as machine learning; it can help you witness how applicable it is in numerous fields, like engineering, data science & analysis, business intelligence, and many more.

Whether you are a data scientist with years of experience or a curious tech enthusiast, machine learning is an intriguing and vital field that's influencing the direction of technology. So why not dig deeper?

4. Evolutionary Algorithms and their Applications to Engineering Problems

Imagine a system that can solve most of your complex queries. Are you interested to know how these systems work? It is because of some algorithms. But what are they, and how do they work? Evolutionary algorithms use genetic operators like mutation and crossover to build new generations of solutions rather than starting from scratch.

This research topic can be a choice of interest for someone who wants to learn more about algorithms and their vitality in engineering.

Evolutionary algorithms are transforming the way we approach engineering challenges by allowing us to explore enormous solution areas and optimize complex systems.

The possibilities are infinite as long as this technology is developed further. Get ready to explore the fascinating world of evolutionary algorithms and their applications in addressing engineering issues.

5. The Role of Big Data Analytics in the Industrial Internet of Things

Datasets can have answers to most of your questions. With good research and approach, analyzing this data can bring magical results. Welcome to the world of data-driven insights! Big Data Analytics is the transformative process of extracting valuable knowledge and patterns from vast and complex datasets, boosting innovation and informed decision-making.

This field allows you to transform the enormous amounts of data produced by IoT devices into insightful knowledge that has the potential to change how large-scale industries work. It's like having a crystal ball that can foretell.

Big data analytics is being utilized to address some of the most critical issues, from supply chain optimization to predictive maintenance. Using it, you can find patterns, spot abnormalities, and make data-driven decisions that increase effectiveness and lower costs for several industrial operations by analyzing data from sensors and other IoT devices.

The area is so vast that you'll need proper research to use and interpret all this information. Choose this as your computer research topic to discover big data analytics' most compelling applications and benefits. You will see that a significant portion of industrial IoT technology demands the study of interconnected systems, and there's nothing more suitable than extensive data analysis.

6. An Efficient Lightweight Integrated Blockchain (ELIB) Model for IoT Security and Privacy

Are you concerned about the security and privacy of your Internet of Things (IoT) devices? As more and more devices become connected, it is more important than ever to protect the security and privacy of data. If you are interested in cyber security and want to find new ways of strengthening it, this is the field for you.

ELIB is a cutting-edge solution that offers private and secure communication between IoT devices by fusing the strength of blockchain with lightweight cryptography. This architecture stores encrypted data on a distributed ledger so only parties with permission can access it.

But why is ELIB so practical and portable? ELIB uses lightweight cryptography to provide quick and effective communication between devices, unlike conventional blockchain models that need complicated and resource-intensive computations.

Due to its increasing vitality, it is gaining popularity as a research topic as someone aware that this framework works and helps reinstate data security is highly demanded in financial and banking.

7. Natural Language Processing Techniques to Reveal Human-Computer Interaction for Development Research Topics

Welcome to the world where machines decode the beauty of the human language. With natural language processing (NLP) techniques, we can analyze the interactions between humans and computers to reveal valuable insights for development research topics. It is also one of the most crucial PhD topics in computer science as NLP-based applications are gaining more and more traction.

Etymologically, natural language processing (NLP) is a potential technique that enables us to examine and comprehend natural language data, such as discussions between people and machines. Insights on user behaviour, preferences, and pain areas can be gleaned from these encounters utilizing NLP approaches.

But which specific areas should we leverage on using NLP methods? This is precisely what you’ll discover while doing this computer science research.

Gear up to learn more about the fascinating field of NLP and how it can change how we design and interact with technology, whether you are a UX designer, a data scientist, or just a curious tech lover and linguist.

8. All One Needs to Know About Fog Computing and Related Edge Computing Paradigms: A Complete Survey

If you are an IoT expert or a keen lover of the Internet of Things, you should leap and move forward to discovering Fog Computing. With the rise of connected devices and the Internet of Things (IoT), traditional cloud computing models are no longer enough. That's where fog computing and related edge computing paradigms come in.

Fog computing is a distributed approach that brings processing and data storage closer to the devices that generate and consume data by extending cloud computing to the network's edge.

As computing technologies are significantly used today, the area has become a hub for researchers to delve deeper into the underlying concepts and devise more and more fog computing frameworks. You can also contribute to and master this architecture by opting for this stand-out topic for your research.

Tips and Tricks to Write Computer Research Topics

Before starting to explore these hot research topics in computer science you may have to know about some tips and tricks that can easily help you.

• Know your interest.
• Choose the topic wisely.
• Make proper research about the demand of the topic.
• Get proper references.
• Discuss with experts.

By following these tips and tricks, you can write a compelling and impactful computer research topic that contributes to the field's advancement and addresses important research gaps.

From machine learning and artificial intelligence to blockchain, edge computing, and big data analytics, numerous trending computer research topics exist to explore.

One of the most important trends is using cutting-edge technology to address current issues. For instance, new IIoT security and privacy opportunities are emerging by integrating blockchain and edge computing. Similarly, the application of natural language processing methods is assisting in revealing human-computer interaction and guiding the creation of new technologies.

Another trend is the growing emphasis on sustainability and moral considerations in technological development. Researchers are looking into how computer science might help in innovation.

With the latest developments and leveraging cutting-edge tools and techniques, researchers can make meaningful contributions to the field and help shape the future of technology. Going for Full-stack Developer online training will help you master the latest tools and technologies. 

Frequently Asked Questions (FAQs)

Research in computer science is mainly focused on different niches. It can be theoretical or technical as well. It completely depends upon the candidate and his focused area. They may do research for inventing new algorithms or many more to get advanced responses in that field.  

Yes, moreover it would be a very good opportunity for the candidate. Because computer science students may have a piece of knowledge about the topic previously. They may find Easy thesis topics for computer science to fulfill their research through KnowledgeHut. 

 There are several scopes available for computer science. A candidate can choose different subjects such as AI, database management, software design, graphics, and many more. 

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New computer algorithm supercharges climate models and could lead to better predictions of future climate change

Earth System Models -- complex computer models which describe Earth processes and how they interact -- are critical for predicting future climate change. By simulating the response of our land, oceans and atmosphere to manmade greenhouse gas emissions, these models form the foundation for predictions of future extreme weather and climate event scenarios, including those issued by the UN Intergovernmental Panel on Climate Change (IPCC).

However, climate modellers have long faced a major problem. Because Earth System Models integrate many complicated processes, they cannot immediately run a simulation; they must first ensure that it has reached a stable equilibrium representative of real-world conditions before the industrial revolution. Without this initial settling period -- referred to as the "spin-up" phase -- the model can "drift," simulating changes that may be erroneously attributed to manmade factors.

Unfortunately, this process is extremely slow as it requires running the model for many thousands of model years which, for IPCC simulations, can take as much as two years on some of the world's most powerful supercomputers.

However, a study in Science Advances by a University of Oxford scientist funded by the Agile Initiative describes a new computer algorithm which can be applied to Earth System Models to drastically reduce spin-up time. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.

Study author Samar Khatiwala, Professor of Earth Sciences at the University of Oxford's Department of Earth Sciences, who devised the algorithm, said: 'Minimising model drift at a much lower cost in time and energy is obviously critical for climate change simulations, but perhaps the greatest value of this research may ultimately be to policy makers who need to know how reliable climate projections are.'

Currently, the lengthy spin-up time of many IPCC models prevents climate researchers from running their model at a higher resolution and defining uncertainty through carrying out repeat simulations. By drastically reducing the spin-up time, the new algorithm will enable researchers to investigate how subtle changes to the model parameters can alter the output -- which is critical for defining the uncertainty of future emission scenarios.

Professor Khatiwala's new algorithm employs a mathematical approach known as sequence acceleration, which has its roots with the famous mathematician Euler. In the 1960s this idea was applied by D. G. Anderson to speed-up the solution of Schrödinger's equation, which predicts how matter behaves at the microscopic level. So important is this problem that more than half the world's supercomputing power is currently devoted to solving it, and 'Anderson Acceleration', as it is now known, is one of the most commonly used algorithms employed for it.

Professor Khatiwala realised that Anderson Acceleration might also be able to reduce model spin-up time since both problems are of an iterative nature: an output is generated and then fed back into the model many times over. By retaining previous outputs and combining them into a single input using Anderson's scheme, the final solution is achieved much more quickly.

Not only does this make the spin-up process much faster and less computationally expensive, but the concept can be applied to the huge variety of different models that are used to investigate, and inform policy on, issues ranging from ocean acidification to biodiversity loss. With research groups around the world beginning to spin-up their models for the next IPCC report, due in 2029, Professor Khatiwala is working with a number of them, including the UK Met Office, to trial his approach and software in their models.

Professor Helene Hewitt OBE, Co-chair for the Coupled Model Intercomparison Project (CMIP) Panel, which will inform the next IPCC report, commented: 'Policymakers rely on climate projections to inform negotiations as the world tries to meet the Paris Agreement. This work is a step towards reducing the time it takes to produce those critical climate projections.'

Professor Colin Jones Head of the NERC/Met Office sponsored UK Earth system modelling, commented on the findings: 'Spin-up has always been prohibitively expensive in terms of computational cost and time. The new approaches developed by Professor Khatiwala have the promise to break this logjam and deliver a quantum leap in the efficiency of spinning up such complex models and, as a consequence, greatly increase our ability to deliver timely, robust estimates of global climate change.'

• Environmental Awareness
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• Mathematical Modeling
• Spintronics Research
• Early Climate
• Origin of Life
• Global climate model
• Meteorology
• 3D computer graphics
• Mathematical model
• Climate model
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• Weather forecasting
• Consensus of scientists regarding global warming

Story Source:

Materials provided by University of Oxford . Note: Content may be edited for style and length.

Journal Reference :

• Samar Khatiwala. Efficient spin-up of Earth System Models using sequence acceleration . Science Advances , 2024; 10 (18) DOI: 10.1126/sciadv.adn2839

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51 Best Colleges for Computer Science – 2024

May 8, 2024

The CS major is exploding at colleges and universities across the United States and gaining admission at any of the best colleges for computer science is highly competitive. The computer science explosion extends even beyond the higher education world as more and more public k-12 systems are requiring that every student learns how to code. These trends are a recognition of the tech-heavy nature of modern industry as well as modern life in general. Attending any of the Best Colleges for Computer Science that cracked our list will set graduates up for a rewarding and lucrative tech career.

Methodology 

Click here to read our methodology for the Best Colleges for Computer Science.

Salary Information

Want to know how much money graduates of the top CS schools make when they begin their careers? For each college listed (and hundreds of additional schools), you can view the starting salaries for computer science majors .

Best Colleges for Computer Science

Here’s a quick preview of the first ten computer science institutions that made our list. Detailed profiles and stats can be found when you scroll below.

1) Massachusetts Institute of Technology

2) Stanford University

3) California Institute of Technology

4) University of California, Berkeley

5) Columbia University

6) University of Michigan

7) Duke University

8) Harvey Mudd College

9) Georgia Institute of Technology

10) Princeton University

All of the schools profiled below have stellar reputations in the area of CS and commit substantial resources to undergraduate education. For each of the best computer science colleges, College Transitions will provide you with—when available—the university’s:

• Cost of Attendance
• Acceptance Rate
• Median  SAT
• Median  ACT
• Retention Rate
• Graduation Rate

We will also include a longer write-up of each college’s:

• Academic Highlights – Includes facts like student-to-faculty ratio, average class size, number of majors offered, and most popular majors.
• Professional Outcomes – Includes info on the rate of positive outcomes, companies employing alumni, and graduate school acceptances.

Massachusetts Institute of Technology

• Cambridge, MA

Academic Highlights: Undergraduates pursue one of 57 majors and 59 minors at this world-class research institution that continues to be one of the world’s most magnetic destinations for math and science geniuses.  The student-to-faculty ratio is an astonishing 3-to-1, and over two-fifths of all class sections have single-digit enrollments, and 70% of courses contain fewer than twenty students. The highest numbers of degrees conferred in 2022 were in the following majors: engineering (31%), computer science and engineering (28%), mathematics (10%), and the physical sciences (7%).

Professional Outcomes: The Class of 2023 saw 29% of its members enter the world of employment and 43% continue on their educational paths. The top employers included Accenture, Amazon, Microsoft, Goldman Sachs, Google, General Motors, the US Navy, Apple, Bain & Company, and McKinsey. The mean starting salary for an MIT bachelor’s degree holder was $95,000. The most frequently attended graduate schools are a who’s who of elite institutions including MIT itself, Stanford, Caltech, Harvard, and the University of Oxford.

• Enrollment: 4,657
• Cost of Attendance: $82,730
• Median SAT: 1550
• Median ACT: 35
• Acceptance Rate: 4%
• Retention Rate: 99%
• Graduation Rate: 95%

Stanford University

• Palo Alto, CA

Academic Highlights: Stanford has three undergraduate schools: the School of Humanities & Sciences, the School of Engineering, and the School of Earth, Energy, and Environmental Sciences. 69% of classes have fewer than twenty students, and 34% have a single-digit enrollment. Programs in engineering, computer science, physics, mathematics, international relations, and economics are arguably the best anywhere. In terms of sheer volume, the greatest number of degrees are conferred in the social sciences (17%), computer science (16%), engineering (15%), and interdisciplinary studies (13%).

Professional Outcomes: Stanford grads entering the working world flock to three major industries in equal distribution: business/finance/consulting/retail (19%); computer, IT (19%); and public policy and service, international affairs (19%). Among the companies employing the largest number of recent grads are Accenture, Apple, Bain, Cisco, Meta, Goldman Sachs, Google, McKinsey, Microsoft, and SpaceX. Other companies that employ hundreds of Cardinal alums include LinkedIn, Salesforce, and Airbnb. Starting salaries for Stanford grads are among the highest in the country.

• Enrollment: 8,049 (undergraduate); 10,236 (graduate)
• Cost of Attendance: $87,833
• Median SAT: 1540
• Retention Rate: 98%

California Institute of Technology

• Pasadena, CA

Academic Highlights: Across all divisions, there are 28 distinct majors. Possessing an absurdly favorable 3:1 student-to-faculty ratio, plenty of individualized attention is up for grabs. Class sizes are not quite as tiny as the student-to-faculty ratio might suggest, but 70% of courses enroll fewer than twenty students, and 28% enroll fewer than ten. Computer science is the most popular major, accounting for 38% of all degrees conferred. Engineering (30%), the physical sciences (20%), and mathematics (6%) also have strong representation.

Professional Outcomes: Caltech is a rare school that sees six-figure average starting salaries for its graduates; in 2022, the median figure was $120,000. Forty-three percent of recent grads went directly into the workforce and found homes at tech giants such as Google, Intel, Microsoft, Apple, and Meta. A healthy 46% of those receiving their diplomas in 2022 continued directly on the higher education path, immediately entering graduate school. Ninety-seven percent of these students were admitted to one of their top-choice schools.

• Enrollment: 982
• Cost of Attendance: $86,886
• Median SAT: Test Blind
• Median ACT: Test Blind
• Acceptance Rate: 3%
• Graduation Rate: 94%

University of California, Berkeley

• Berkeley, CA

Academic Highlights: More than 150 undergraduate majors and minors are available across six schools: the College of Letters and Science, the College of Chemistry, the College of Engineering, the College of Environmental Design, the College of Natural Resources, and the Haas School of Business. Many departments have top international reputations including computer science, engineering, chemistry, English, psychology, and economics. 22% of sections contain nine or fewer students, and over 55% of students assist faculty with a research project or complete a research methods course.

Professional Outcomes: Upon graduating, 49% of Cal’s Class of 2022 had already secured employment, and 20% were headed to graduate school. Business is the most popular sector, attracting 62% of employed grads; next up are industrial (17%), education (8%), and nonprofit work (7%). The median starting salary was $86,459 across all majors. Thousands of alumni can be found in the offices of Google, Apple, and Meta, and 500+ Golden Bears are currently employed by Oracle, Amazon, and Microsoft. The school is the number one all-time producer of Peace Corps volunteers.

• Enrollment: 32,831 (undergraduate); 12,914 (graduate)
• Cost of Attendance: $48,574 (in-state); $82,774 (out-of-state)
• Acceptance Rate: 11%
• Retention Rate: 96%

Columbia University

• New York, NY

Academic Highlights: Columbia offers 100+ unique areas of undergraduate study as well as a number of pre-professional and accelerated graduate programs.  Class sizes at Columbia are reasonably small and the student-to-faculty ratio is favorable; however, in 2022, it was revealed that the university had been submitting faulty data in this area. It is presently believed that 58% of undergraduate courses enroll 19 or fewer students. The greatest number of degrees are conferred in the social sciences (22%), computer science (15%), engineering (14%), and biology (7%).

Professional Outcomes: Examining the most recent graduates from Columbia College and the Fu Foundation School of Engineering & Applied Science, 73% had found employment within six months, and 20% had entered graduate school. The median starting salary for graduates of Columbia College/Columbia Engineering is above $80,000. Many graduates get hired by the likes of Amazon, Goldman Sachs, Morgan Stanley, Google, Citi, McKinsey, and Microsoft.

• Enrollment: 8,832
• Cost of Attendance: $89,587

University of Michigan

• Ann Arbor, MI

Academic Highlights: There are 280+ undergraduate degree programs across fourteen schools and colleges, and the College of Literature, Science, and the Arts (LSA) enrolls the majority of students. The Ross School of Business offers highly rated programs in entrepreneurship, management, accounting, and finance. The College of Engineering is also one of the best in the country. By degrees conferred, engineering (15%), computer science (14%), and the social sciences (11%) are most popular. A solid 56% of classes have fewer than 20 students.

Professional Outcomes: Within three months of graduating, 89% of LSA grads are employed full-time or in graduate school, with healthcare, education, law, banking, research, nonprofit work, and consulting being the most popular sectors. Within three months, 99% of Ross grads are employed with a median salary of $90k. Top employers include Goldman Sachs, Deutsche Bank, EY, Morgan Stanley, PwC, Deloitte, and Amazon.  Within six months, 96% of engineering grads are employed (average salary of $84k) or in grad school. General Motors, Ford, Google, Microsoft, Apple, and Meta employ the greatest number of alumni.

• Enrollment: 32,695 (undergraduate); 18,530 (graduate)
• Cost of Attendance: $35,450 (in-state); $76,294 (out-of-state)
• Median SAT: 1470
• Median ACT: 33
• Acceptance Rate: 18%
• Retention Rate: 97%
• Graduation Rate: 93%

Duke University

Academic Highlights: The academic offerings at Duke include 53 majors, 52 minors, and 23 interdisciplinary certificates. Class sizes are on the small side—71% are nineteen or fewer, and almost one-quarter are less than ten. A stellar 5:1 student-to-faculty ratio helps keep classes so reasonable even while catering to five figures worth of graduate students. Computer Science is the most popular area of concentration (11%), followed by economics (10%), public policy (9%), biology (8%), and computer engineering (7%).

Professional Outcomes: At graduation, approximately 70% of Duke diploma-earners enter the world of work, 20% continue into graduate schools, and 2% start their own businesses. The industries that attract the largest percentage of Blue Devils are tech (21%), finance (15%), business (15%), healthcare (9%), and science/research (6%). Of the 20% headed into graduate school, a hefty 22% are attending medical school, 18% are in PhD programs, and 12% are entering law school. The med school acceptance rate is 85%, more than twice the national average.

• Enrollment: 6,640
• Cost of Attendance: $85,238
• SAT Range: 1490-1570
• ACT Range: 34-35
• Acceptance Rate: 6%
• Graduation Rate: 97%

Harvey Mudd College

• Claremont, CA

Academic Highlights: While 62% of courses have an enrollment under 20, another 32% enroll between 20 and 39 students. Regardless, Mudd prides itself on offering graduate-level research opportunities and experiential learning to all undergrads. Only six majors are offered: biology, chemistry, computer science, engineering, mathematics, and physics. All are incredibly strong. Students also have the option to combine certain disciplines into what amounts to a double major.

Professional Outcomes: Seventy-two percent of the Class of 2022 planned on entering a job right after receiving their bachelor’s degree. The highest number of recent Harvey Mudd graduates are scooped up by the following companies (in order of representation): Meta, Microsoft, and Caltech. Graduates average an impressive $117,500 starting salary, a phenomenal number even when accounting for the preponderance of STEM majors. Many Harvey Mudd grads—20% in 2022—go directly into graduate school programs.

• Enrollment: 906
• Cost of Attendance: $89,115
• Median SAT: 1530
• Acceptance Rate: 13%
• Graduation Rate: 92%

Georgia Institute of Technology

• Atlanta, GA

Academic Highlights: Georgia Tech’s engineering and computer science programs are at the top of any “best programs” list. Being a large research university, the student-to-faculty ratio is a less-than-ideal 22:1, leading to some larger undergraduate class sections. In fact, 49% of courses had enrollments of more than thirty students in 2022-23. On the other end of the spectrum, 8% of sections had single-digit enrollments. In terms of total number of degrees conferred, the most popular areas of study are engineering (51%), computer science (21%), and business (9%).

Professional Outcomes: More than three-quarters of recent grads had already procured employment by the time they were handed their diplomas. You will find graduates at every major technology company in the world. The median salary reported by that group was $80,000. Many remain on campus to earn advanced engineering degrees through Georgia Tech, but the school’s reputation is such that gaining admission into other top programs including MIT, Carnegie Mellon, Berkeley, Stanford, and Caltech.

• Enrollment: 18,416
• Cost of Attendance: $29,950 (In-State); $52,120 (Out-of-State)
• Acceptance Rate: 17%

Princeton University

• Princeton, NJ

Academic Highlights: 39 majors are available at Princeton. Just under three-quarters of class sections have an enrollment of 19 or fewer students, and 31% have fewer than ten students. Princeton is known for its commitment to undergraduate teaching, and students consistently rate professors as accessible and helpful. The Engineering Department is widely recognized as one of the country’s best, as is the School of Public and International Affairs.

Professional Highlights: Over 95% of a typical Tiger class finds their next destination within six months of graduating. Large numbers of recent grads flock to the fields of business and engineering, health/science, & tech. Companies presently employing hundreds of Tiger alumni include Google, Goldman Sachs, Microsoft, McKinsey & Company, Morgan Stanley, IBM, and Meta. The average salary ranges from $40k (education, health care, or social services) to $100k (computer/mathematical positions). Between 15-20% of graduating Tigers head directly to graduate/professional school.

• Enrollment: 5,604 (undergraduate); 3,238 (graduate)
• Cost of Attendance: $86,700
• Graduation Rate: 98%

University of California, San Diego

• San Diego, CA

Academic Highlights: There are 140+ undergraduate majors offered at UCSD, and all students join one of eight undergraduate colleges meant to forge flourishing communities within the larger university. Biology has the highest representation of all majors (19%) followed by engineering (12%), the social sciences (11%), and computer science (9%). UCSD’s computer science and engineering programs have stellar reputations in the corporate and tech communities, and programs in biology, economics, and political science are among the best anywhere.

Professional Outcomes: Employers of recent graduates included the Walt Disney Company, Tesla, NBC Universal, PwC, Northrop Grumman, and EY. More than 1,000 current Google employees are UC San Diego alumni, and Qualcomm, Amazon, and Apple all employ 500+ each. The median early career salary is $65,000 across all majors, placing the university in the top 10 public universities in the country. UCSD also fares well in measures of its return-on-investment potential.

• Enrollment: 33,096 (undergraduate); 8,386 (graduate)
• Cost of Attendance: $31,830 (in-state); $64,404 (out-of-state)
• Acceptance Rate: 25%
• Retention Rate: 93%
• Graduation Rate: 88%

University of California, Los Angeles

• Los Angeles, CA

Academic Highlights: UCLA offers 125 majors in 100+ academic departments, and more than 60 majors require a capstone experience that results in the creation of a tangible product under the mentorship of faculty members. The most commonly conferred degrees are in the social sciences (25%), biology (16%), psychology (11%), mathematics (8%), and engineering (7%). Departmental rankings are high across the board, especially in computer science, engineering, film, fine and performing arts, mathematics, and political science.

Professional Outcomes: UCLA grads flow most heavily into the research, finance, computer science, and engineering sectors. High numbers of recent grads can be found at Disney, Google, EY, Teach for America, Amazon, and Oracle. Hundreds also can be found at Bloomberg, Deloitte, Mattel, Oracle, and SpaceX. The average starting salary exceeds $55,000. 16% of recent grads enrolled directly in a graduate/professional school, with other CA-based institutions like Stanford, Pepperdine, USC, Berkeley, and Loyola Marymount being the most popular.

• Enrollment: 33,040 (undergraduate); 15,010 (graduate)
• Cost of Attendance: $38,517 (in-state); $71,091 (out-of-state)
• Acceptance Rate: 9%

Harvard University

Academic Highlights: There are 50 undergraduate fields of study referred to as concentrations; many are interdisciplinary. Even with a graduate population of over 14,000 to cater to, undergraduate class sizes still tend to be small, with 42% of sections having single-digit enrollments and 71% being capped at nineteen. Economics, government, and computer science are the three most popular areas of concentration at Harvard. Biology, chemistry, physics, math, statistics, sociology, history, English, and psychology all sit atop most departmental ranking lists.

Professional Outcomes: The Crimson Class of 2022 saw 15% of students head directly into graduate/professional school. Of the graduates entering the world of work (virtually everyone else), 58% were entering either the consulting, finance, or technology field. Over 1,000 Harvard alumni presently work for Google and over 500 for Microsoft, McKinsey & Company, and Goldman Sachs. Turning our attention to those moving on to graduate school, Harvard grads with at least a 3.5 GPA typically enjoy acceptance rates into medical school of 90% or greater.

• Enrollment: 7,240
• Cost of Attendance: $79,450

Cornell University

Academic Highlights: A diverse array of academic programs includes 80 majors and 120 minors spread across the university’s seven schools/colleges. Classes are a bit larger at Cornell than at many other elite institutions. Still, 55% of sections have fewer than 20 students. Most degrees conferred in 2022 were in computer science (17%), engineering (13%), business (13%), and biology (13%). The SC Johnson College of Business houses two undergraduate schools, both of which have phenomenal reputations.

Professional Outcomes: Breaking down the graduates of the College of Arts and Sciences, the largest school at Cornell, 68% entered the workforce, 28% entered graduate school, 1% pursued other endeavors such as travel or volunteer work, and the remaining 3% were still seeking employment six months after receiving their diplomas. The top sectors attracting campus-wide graduateswere financial services (18%), technology (17%), consulting (15%), and education (10%). Of the students from A&S going on to graduate school, 15% were pursuing JDs, 5% MDs, and 22% PhDs.

• Enrollment: 15,735
• Cost of Attendance: $88,150
• Median SAT: 1520
• Median ACT: 34
• Acceptance Rate: 7%

University of Southern California

Academic Highlights : There are 140 undergraduate majors and minors within the Dornsife College of Arts & Sciences alone, the university’s oldest and largest school. The Marshall School of Business, Viterbi School of Engineering, and programs in communication, the cinematic arts, and the performing arts are highly acclaimed. Popular areas of study are business (22%), social sciences (11%), visual and performing arts (11%), communications/journalism (9%), and engineering (8%). Most courses enroll 10-19 students, and USC does an excellent job facilitating undergraduate research opportunities.

Professional Outcomes: 96% of undergrads experience positive postgraduation outcomes within six months of earning their degree. The top five industries entered were finance, consulting, advertising, software development, and engineering; the median salary across all majors is an astounding $79k. Presently, between 300 and 1,500 alumni are employed at each of Google, Amazon, Apple, Microsoft, KPMG, Goldman Sachs, and Meta. Graduate/professional schools enrolling the greatest number of 2022 USC grads include NYU, Georgetown, Harvard, Stanford, Pepperdine, and UCLA.

• Enrollment: 20,699 (undergraduate); 28,246 (graduate)
• Cost of Attendance: $90,921
• Median SAT: 1510
• Acceptance Rate: 12%

Brown University

• Providence, RI

Academic Highlights: Students must choose one of 80+ “concentration programs,” but there are no required courses. Class sizes tend to be small—68% have fewer than twenty students—and 35% are comprised of nine or fewer students. Biology, economics, computer science, mathematics, and engineering are among the most popular areas of concentration at Brown; however, it is hard to distinguish any one program, because Brown possesses outstanding offerings across so many disciplines.

Professional Outcomes: Soon after receiving their Brown diplomas, 69% of graduates enter the world of employment. Companies employing the greatest number of Brown alums include Google, Microsoft, Goldman Sachs, Amazon, Morgan Stanley, Apple, McKinsey & Company, and Bain & Company. The Class of 2022 saw 27% of graduates go directly into graduate/professional school. Right out of undergrad, Brown students boasted an exceptional 81% admission rate to med school and an 81% admission rate to law school.

• Enrollment: 7,639
• Cost of Attendance: $84,828
• Acceptance Rate: 5%
• Graduation Rate: 96%

Carnegie Mellon University

• Pittsburgh, PA

Academic Highlights: There are a combined 80+ undergraduate majors and 90 minors available across the six schools. Impressively, particularly for a school with more graduate students than undergrads, CMU boasts a 6:1 student-to-faculty ratio and small class sizes, with 36% containing single digits. In a given school year, 800+ undergraduates conduct research through the University Research Office. The most commonly conferred degrees are in engineering (21%), computer science (16%), mathematics (12%), business (10%), and visual and performing arts (9%).

Professional Outcomes: By the end of the calendar year in which they received their diplomas, 66% of 2022 grads were employed, and 28% were continuing to graduate school. The companies that have routinely scooped up CMU grads include Google, Meta, Microsoft, Apple, Accenture, McKinsey, and Deloitte. With an average starting salary of $105,194, CMU grads outpace the average starting salary for a college grad nationally. Of those pursuing graduate education, around 20% typically enroll immediately in PhD programs.

• Enrollment: 7,509
• Cost of Attendance: $84,412

Swarthmore College

• Swarthmore, PA

Academic Highlights: Swarthmore offers forty undergraduate programs and runs 600+ courses each academic year. Small, seminar-style courses are the norm—an outstanding 33% of sections enroll fewer than ten students, and 70% contain a maximum of nineteen students. Social science degrees are the most commonly conferred, accounting for 24% of all 2022 graduates. Future businessmen/women, engineers, and techies are also well-positioned, given Swat’s incredibly strong offerings in economics, engineering, and computer science.

Professional Outcomes: 68% of Class of 2022 grads entered the workforce shortly after graduation. Popular industries included education (17%), consulting (16%), and financial services (13%); the median starting salary was $60,000. Google is a leading employer of Swarthmore grads followed by Amazon, Goldman Sachs, IBM, and a number of the top universities.  18% of 2022 grads pursued advanced degrees, with 35% pursuing a PhD, 35% entering master’s programs, 10% heading to law school, and 7% matriculating into medical school.

• Enrollment: 1,625
• Cost of Attendance: $81,376
• Median SAT: 1500

The University of Texas at Austin

Academic Highlights: UT Austin offers over 150 majors, including those at the Cockrell School of Engineering, one of the most heralded undergraduate engineering schools around, and The McCombs School of Business, which dominates in the specialty areas of accounting and marketing. The computer science department is also top-ranked. In terms of degrees conferred, engineering is tied with biology (12%) followed by communication (11%), business (11%), and the social sciences (8%). The elite Plan II Honors Program is one of the best in the country.

Professional Outcomes: Within the College of Liberal Arts, six months after graduating, 68% of Longhorns are employed and 24% have entered graduate school. The for-profit sector attracts 65% of those employed while 19% enter public sector employment and 16% pursue jobs at a nonprofit. Major corporations that employ more than 500 UT Austin grads include Google, Meta, Oracle, Microsoft, IBM, and Apple. Engineering majors took home a median income of $79k and business majors took home $70k.

• Enrollment: 41,309 (undergraduate); 11,075 (graduate)
• Cost of Attendance: $30,752-$34,174 (in-state); $61,180-$69,310 (out-of-state)
• Median SAT: 1430
• Median ACT: 32
• Acceptance Rate: 31%
• Retention Rate: 95%

University of California, Irvine

Academic Highlights: UCI offers eighty undergrad programs as well as many opportunities for personal connection; 56% of all sections enroll 19 or fewer students and over 60% of students conduct a research project. The most commonly conferred degrees are the social sciences (16%), business (12%), psychology (11%), and biology (9%). The Samueli School of Engineering has a solid reputation as does the Bren School, the only independent computer science school in the UC system. Programs in public health and biological sciences earn very high marks.

Professional Outcomes: Accounting, aerospace, internet and software, K-12 education, real estate, and retail are among the industries attracting the greatest number of Anteaters. Companies employing large numbers of recent grads include Boeing, the Walt Disney Company, Google, EY, and Microsoft. Hundreds of alumni are also found at Kaiser Permanente, Meta, Apple, Edwards Lifesciences, and Deloitte. The median salary is $69,000, with CS grads earning close to $120k right off the bat. UCI has a very strong reputation for premed.

• Enrollment: 28,661 (undergraduate); 7,275 (graduate)
• Cost of Attendance: $40,202 (in-state); $72,776 (out-of-state)
• Acceptance Rate: 26%
• Retention Rate: 91%
• Graduation Rate: 87%

Williams College

• Williamstown, MA

Academic Highlights: The school’s 25 academic departments offer 36 majors and a number of concentrations rather than minors. An unparalleled 40% of courses have fewer than ten students enrolled; the median class size is 12 students. Programs in economics, English, history, math, and political science are especially renowned, and the greatest number of degrees are conferred in the social sciences (26%), the physical sciences (10%), math and statistics (9%), psychology (9%), and computer science (7%).

Professional Outcomes: Among the Class of 2022, 92% were employed or continuing their educational journey within six months of graduating. Business and education typically attract the most students, with popular companies/organizations including Apple, Google, Goldman Sachs, The New York Times Co., the Peace Corps, and Teach for America. The median annual income for 2022 grads was $75,000. 75% pursue an advanced degree within five years of leaving Williams, with the most frequently attended graduate programs being Harvard, Columbia, and Yale.

• Enrollment: 2,152 (undergraduate); 53 (graduate)
• Cost of Attendance: $81,160
• Acceptance Rate: 8%

Yale University

• New Haven, CT

Academic Highlights: Yale offers 80 majors, most of which require a one- to two-semester senior capstone experience. Undergraduate research is a staple, and over 70% of classes—of which there are over 2,000 to choose from—have an enrollment of fewer than 20 students, making Yale a perfect environment for teaching and learning. Among the top departments are biology, economics, global affairs, engineering, history, and computer science. The social sciences (26%), biology (11%), mathematics (8%), and computer science (8%) are the most popular areas of concentration.

Professional Outcomes: Shortly after graduating, 73% of the Yale Class of 2022 had entered the world of employment and 18% matriculated into graduate programs. Hundreds of Yale alums can be found at each of the world’s top companies including Google, Goldman Sachs, McKinsey & Company, Morgan Stanley, and Microsoft. The most common industries entered by the newly hired were finance (20%), research/education (16%), technology (14%), and consulting (12%). The mean starting salary for last year’s grads was $81,769 ($120k for CS majors). Nearly one-fifth of students immediately pursue graduate school.

• Enrollment: 6,590 (undergraduate); 5,344 (graduate)
• Cost of Attendance: $87,705

Johns Hopkins University

• Baltimore, MD

Academic Highlights: With 53 majors as well as 51 minors, JHU excels in everything from its bread-and-butter medical-related majors to international relations and dance. Boasting an enviable 6:1 student-to-faculty ratio and with 78% of course sections possessing an enrollment under 20, face time with professors is a reality. Many departments carry a high level of clout, including biomedical engineering, chemistry, English, and international studies. Biology, neuroscience, and computer science, which happen to be the three most popular majors, can also be found at the top of the national rankings.

Professional Outcomes: The Class of 2022 saw 94% of graduates successfully land at their next destination within six months of exiting the university; 66% of graduates entered the world of employment and a robust 19% went directly to graduate/professional school. The median starting salary across all majors was $80,000 for the Class of 2022. JHU itself is the most popular choice for graduate school. The next most frequently attended institutions included Columbia, Harvard, Yale, and MIT.

• Enrollment: 6,044
• Cost of Attendance: $86,065

University of Illinois at Urbana-Champaign

• Champaign-Urbana, IL

Academic Highlights: Eight of UIUC’s fifteen schools cater to undergraduate students. There are 150 academic programs offered, including those at the acclaimed Grainger College of Engineering and Gies College of Business. In sheer volume of degrees conferred, engineering and business/marketing are tied at 19%, followed by the social sciences (9%) and psychology (6%). 39% of sections are capped at 19 students. 29% of undergraduates work with a faculty member on a research project; another 22% have some type of fieldwork, practicum, or clinical experience.

Professional Outcomes: 95% of the members of the Class of 2022 landed at their next destination within six months of graduation, with 38% matriculating directly into an advanced degree program. 57% were employed full-time; the most popular sectors were finance, consulting, healthcare, electronics, and education. Corporations landing the most recent Illini grads were KPMG, Deloitte, Epic Systems, EY, PwC, and Amazon. The average salary across all Class of 2022 majors was an extremely solid $75,000.

• Enrollment: 35,120 (undergraduate); 21,796 (graduate)
• Cost of Attendance: $35,926-$41,190 (in-state); $55,386-$63,290 (out-of-state)
• Median SAT: 1440
• Acceptance Rate: 79%
• Graduation Rate: 85%

University of Pennsylvania

• Philadelphia, PA

Academic Highlights : 90 distinct degrees are available across four schools: the College of Arts & Sciences, the College of Applied Science and Engineering, the College of Nursing, and the world-renowned Wharton School. The greatest number of students pursue degrees in business (19%), social sciences (14%), biology (11%), health sciences (9%), engineering (9%), and computer science (9%). The university boasts an exceptional 26% of courses with an enrollment under ten and 59% with an enrollment under twenty as well as multiple ways for undergrads to conduct research.

Professional Outcomes: 75% of Class of 2022 grads were employed within six months of graduating, and 18% were in graduate school. Finance attracted the highest percentage of grads (30%) followed by consulting (20%), technology (15%), and healthcare (10%). Employers hiring the greatest number of 2022 grads included JPMorgan, Boston Consulting Group, McKinsey, Bain & Company, Meta, and Goldman Sachs. The median starting salary for all graduates is $80,000. For those continuing their educational journeys, the most popular move is to remain at Penn, followed by Columbia and Harvard.

• Enrollment: 9,760 (undergraduate); 13,614 (graduate)
• Cost of Attendance: $89,028

University of Washington – Seattle

• Seattle, WA

Academic Highlights: 180+ undergraduate majors are offered across thirteen colleges/schools. Personal connections with professors abound as 55% of grads complete a faculty-mentored research project. The College of Engineering, which includes the College of Computer Science & Engineering, is one of the best in the nation; UW also boasts strong programs in everything from business to social work to environmental science. The most popular degrees are the social sciences (13%), biology (12%), computer science (11%), and business (8%).

Professional Outcomes: Within months of graduation, 73% of Class of 2022 grads were employed and 17% were continuing their education. The most popular employers of the Class of 2022 included Google, Amazon, Microsoft, Boeing, and KPMG. Across all living alumni, 6,000+ work for Microsoft, and 4000+ work for each of Boeing and Amazon. Of those headed to graduate/professional school, just over half remain in state, mostly at UW itself. Large numbers of 2022 grads also headed to Columbia, Johns Hopkins, and USC.

• Enrollment: 36,872 (undergraduate); 16,211 (graduate)
• Cost of Attendance: $34,554 (in-state); $63,906 (out-of-state)
• Median SAT: 1420
• Acceptance Rate: 48%
• Retention Rate: 94%
• Graduation Rate: 84%

University of Maryland, College Park

• College Park, MD

Academic Highlights: Undergraduates can select from 100+ majors across twelve colleges. 18% of degrees are conferred in computer science, followed by the social sciences (13%), with  criminology, government and politics, and economics being the most popular majors.  Engineering (13%), business (11%), and biology (8%) are next in line. The School of Business, the School of Engineering, and the College of Journalism are all top-ranked, as are programs in computer science and criminology. 46% of sections enroll fewer than twenty students.

Professional Outcomes: Within six months of graduating, 96% of Class of 2022 grads had positive outcomes. 67% found employment; the companies/organizations that hired the greatest number of grads included Northrop Grumman, Deloitte, Amazon, and EY. Meta, Apple, and Google employ more than 200 alumni each.  The mid-50% salary range for 2022 grads was $55k-$83k. 21% of the Class of 2022 headed directly to graduate and professional school; 11% entered doctoral programs, 5% entered medical school, and 5% entered law school.

• Enrollment: 30,353 (undergraduate); 10,439 (graduate)
• Cost of Attendance: $31,540 (in-state); $60,918 (out-of-state)
• Acceptance Rate: 84%
• Graduation Rate: 89%

University of Chicago

• Chicago, IL

Academic Highlights: There are 53 majors at UChicago, but close to half of all degrees conferred are in four majors: economics, biology, mathematics, and political science, all of which have particularly sterling reputations. Economics alone is the selection of roughly one-fifth of the undergraduate population. Over 75% of undergrad sections have an enrollment of nineteen or fewer students, and undergraduate research opportunities are ubiquitous as 80% of students end up working in a research capacity alongside a faculty member.

Professional Outcomes: On commencement day, 99% of the Class of 2023 were employed or continuing their education. Business and financial services (30%) and STEM (12%) were the two sectors that scooped up the most graduates, but public policy and consulting were also well-represented. The most popular employers of recent grads include Google, JPMorgan, Goldman Sachs, McKinsey & Company, Bank of America, Citi, and Accenture. For those heading to grad school, the top seven destinations are Yale, Columbia, Penn, MIT, Stanford, UCLA, and Johns Hopkins.

• Enrollment: 7,653 (undergraduate); 10,870 (graduate)
• Cost of Attendance: $89,040

University of Texas at Dallas

Academic Highlights: There are 140+ degree plans at UT Dallas which sports a 25:1 student-to-faculty ratio. Only 7% of classes are taught by graduate assistants, but classes are on the large side – 27% of course sections contain 50 or more students. The two most popular areas of study at this university are business (20%) and computer science (20%). Biology (14%), engineering (13%), and health professions (8%) also enjoy solid popularity. Even better, UT Dallas has a strong national reputation in all of these academic areas.

Professional Outcomes: The most commonly entered industries are internet and software, healthcare, accounting, IT, and higher education. Those graduating with a degree in information technology and systems had an average starting salary of $76,900 while those earning an accounting degree brought home a mean figure of $59,700. UT Dallas graduates have less undergraduate debt than the national average and receive the third-best ROI of any public university in Texas.

• Enrollment: 21,617
• Cost of Attendance: $35,960 (In-State); $51,126
• Median SAT: 1290
• Median ACT: 28
• Acceptance Rate: 85%
• Retention Rate: 87%
• Graduation Rate: 74%

Dartmouth College

• Hanover, NH

Academic Highlights: Dartmouth sports 60+ majors and a stunning breadth of course selections for an institution of its size. The learning environment at Dartmouth is extraordinarily intimate. Not only do 61% of course sections have under twenty students, but 18% have single-digit enrollments. The student-to-faculty ratio is an outstanding 7:1. Top programs offered by Big Green include biology, economics, neuroscience, and government. The social sciences are the most popular, accounting for 32% of degrees conferred, followed by computer science (10%), mathematics (9%), engineering (9%), and biology (7%).

Professional Outcomes: A great reputation along with a passionate alumni network that is 80,000 strong leads Dartmouth grads to successful transitions into graduate school and the world of work. Included in the top ten employers of Dartmouth grads are a number of investment banks including Goldman Sachs, Morgan Stanley, Bain & Company, Citibank, and Deutsche Bank. Right off the bat, 52% of graduates make more than $70,000 in salary. Those pursuing graduate degrees often flock to the likes of Harvard, Columbia, and Princeton.

• Enrollment: 4,458
• Cost of Attendance: $87,793

Amherst College

• Amherst, MA

Academic Highlights: A 7:1 student-to-faculty ratio allows for 66% of courses to have fewer than twenty students and 32% to have single-digit enrollments. By senior year, 98% of seniors report feeling close enough to a faculty member to ask for a letter of recommendation. Amherst possesses strong offerings across the board, most notably in economics, English, history, mathematics, and law The social sciences account for 22% of degrees conferred, while 14% are in mathematics, 11% in biology, and 7% in computer science

Professional Outcomes: Six months after graduation, 93% of the Class of 2022 had already found its way into the world of employment, graduate school, or a volunteer organization.  The largest employers of Amherst grads includes Google, Deloitte, Morgan Stanley, and Goldman Sachs. The schools where the highest number of Amherst grads can be found pursuing advanced degrees include MIT, Dartmouth, and the University of Pennsylvania. Fifty to sixty Amherst grads apply to medical school each year, and the acceptance rate hovers around 75-80%.

• Enrollment: 1,898
• Cost of Attendance: $84,840

New York University

Academic Highlights: NYU is divided into a number of smaller (but still quite large) colleges organized by discipline; in sum, there are 230 areas of undergraduate study across nine schools and colleges. For its size, a commendable 58% of classes have an enrollment under 20 students. While all schools within NYU have solid reputations, Stern holds the distinction as one of the top undergraduate business programs in the country. For those entering film, dance, drama, or other performing arts, Tisch is as prestigious a place as you can find to study.

Professional Outcomes: Within six months of exiting, 94% of Class of 2022 grads had landed at their next destination, with 78% employed and 21% in graduate school. The top industries for employment were healthcare (11%), internet and software (9%), finance (8%), and entertainment (8%). Large numbers of alumni can be found at Google, Deloitte, Morgan Stanley, Goldman Sachs, IBM, JP Morgan Chase, Citi, and Amazon. The mean starting salary is $75,336. In 2022, business, arts and sciences, and law school were the most popular grad school destinations.

• Enrollment: 29,401 (undergraduate); 29,711 (graduate)
• Cost of Attendance: $90,222-$96,172

University of California, Santa Barbara

• Santa Barbara, CA

Academic Highlights: There are 90 undergraduate majors across three schools: the College of Letters and Science, the College of Engineering, and the College of Creative Studies. The social sciences are the most popular area of study, accounting for 27% of the total degrees conferred. Biology (10%), math (9%), and psychology (9%) are next in popularity. The school has highly regarded programs in communication, computer science, engineering, physics, environmental science, and the performing arts. More than half of sections contain fewer than 20 students, and 72% enroll 29 or fewer.

Professional Outcomes: Within six months of earning their diplomas, 84% of grads had found employment. The most popular industries were science/research (16%), engineering/computer programming (14%), business (13%), finance/accounting (11%), and sales (10%). Top employers of recent grads include Google, EY, KPMG, Oracle, Amazon, IBM, and Adobe. Many alumni also can be found at Apple, Meta, Microsoft, and Salesforce. Two years after graduating, UCSB alumni make an average salary of $55k; more than half make $100k by mid-career.

• Enrollment: 23,460 (undergraduate); 2,961 (graduate)
• Cost of Attendance: $41,289 (in-state); $73,863 (out-of-state)
• Acceptance Rate: 28%
• Retention Rate: 92%
• Graduation Rate: 86%

Washington University in St. Louis

• St. Louis, MO

Academic Highlights : WashU admits students into five schools, many of which offer nationally recognized programs: Arts & Sciences, the Olin School of Business, the School of Engineering & Applied Sciences, and the Art of Architecture programs housed within the Sam Fox School of Design and Visual Arts. The most commonly conferred degrees are in engineering (13%), social sciences (13%), business (13%), biology (11%), and psychology (10%). 66% of classes have fewer than 20 students, and over one-quarter have single-digit enrollments. 65% double major or pursue a minor.

Professional Outcomes: The Class of 2022 sent 52% of grads into the workforce and 28% into graduate and professional schools. Companies employing the highest number of WashU grads feature sought-after employers such as Amazon, Bain, Boeing, Deloitte, Google, IBM, Goldman Sachs, and Microsoft. Of the employed members of the Class of 2022 who reported their starting salaries, 79% made more than $60k. The universities welcoming the largest number of Bears included the prestigious institutions of Caltech, Columbia, Harvard, Penn, Princeton, and Stanford.

• Enrollment: 8,132 (undergraduate); 8,880 (graduate)
• Cost of Attendance: $83,760

University of Wisconsin – Madison

• Madison, WI

Academic Highlights: There are 230+ undergraduate majors offered across eight schools and colleges, including the top-ranked School of Business and College of Engineering as well as the College of Letters and Science, the College of Agricultural and Life Sciences, and the Schools of Nursing, Education, Pharmacy, and Human Ecology. Undergrads can expect a mix of large and small classes, with 44% of sections enrolling fewer than 20 students. Business (18%), biology (12%), the social sciences (11%), and engineering (10%) are most popular.

Professional Outcomes: In a recent year, 46% of job-seeking grads graduated with an offer.  Top employers included UW-Madison, Epic, Kohl’s, Oracle, Deloitte, and UW Health. Across all graduating years, companies employing 250+ alumni include Google, Target, Microsoft, Amazon, Apple, PwC, Accenture, and Meta. 28% of recent grads enrolled directly in graduate/professional school; the majority stayed at UW–Madison while others headed to Columbia, Northwestern, and Carnegie Mellon. The university is the top producer of Peace Corps volunteers.

• Enrollment: 37,230 (undergraduate); 12,656 (graduate)
• Cost of Attendance: $28,916 (in-state); $58,912 (out-of-state)
• Median ACT: 30
• Acceptance Rate: 49%

Carleton College

• Northfield, MN

Academic Highlights: Students work closely with their professors, and the college is routinely rated atop lists of best undergraduate teaching institutions. Small classes are the norm with the average being only sixteen students. It offers 33 majors, the most popular of which are within the disciplines of the social sciences (19%), the physical sciences (14%), biology (11%), computer science (11%), mathematics (10%), and psychology (8%).

Professional Outcomes: Target, Epic Systems, Google, Wells Fargo, and Amazon all employ large numbers of graduates. Carleton is a breeding ground for future scholars as a ridiculously high number of graduates go on to earn PhDs. In fact, by percentage, Carleton is one of the top five producers in the country of future PhDs. They produce an incredible number of doctoral degree holders in the areas of economics, math, political science, sociology, chemistry, physics, biology, and history.

• Enrollment: 2,034
• Cost of Attendance: $82,167
• Median SAT: 1490
• Graduation Rate: 91%

Northwestern University

• Evanston, IL

Academic Highlights : Northwestern is home to six undergraduate schools, including Medill, which is widely regarded as one of the country’s best journalism schools. The McCormick School of Engineering also achieves top rankings, along with programs in economics, social policy, and theatre. The social sciences account for the greatest number of degrees conferred (19%), followed by communications/journalism (13%), and engineering (11%). 45% of classes have nine or fewer students enrolled; 78% have fewer than twenty enrollees. 57% of recent grads had the chance to conduct undergraduate research.

Professional Outcomes: Six months after graduating, 69% of the Class of 2022 had found employment and 27% were in graduate school. The four most popular professional fields were consulting (18%), engineering (18%), business/finance (16%), and communications/marketing/media (13%). Employers included the BBC, NBC News, The Washington Post , NPR, Boeing, Google, IBM, Deloitte, PepsiCo, Northrop Grumman, and Goldman Sachs. Across all majors, the average starting salary was $73k. Of those headed straight to graduate school, engineering, medicine, and business were the three most popular areas of concentration.

• Enrollment: 8,659 (undergraduate); 14,073 (graduate)
• Cost of Attendance: $91,290

Worcester Polytechnic Institute

• Worcester, MA

Academic Highlights: Worcester Polytechnic Institute (WPI) offers a hands-on and innovative project-based curriculum; all students complete a minimum of two long-term research projects that are focused on solving real-world problems. A staggering 52% of its classes enroll fewer than ten students, creating an incredible level of academic intimacy. The most popular majors are under the engineering umbrella (63%) and computer science (16%). The undergraduate engineering program is respected worldwide and frequently graces lists of top schools.

Professional Outcomes: Within six months of graduating, 94% of 2022 grads landed jobs or enrolled full-time in graduate school. Recent grads found jobs at top companies including Airbnb, DraftKings, Amazon Robotics, and NASA. Hundreds of WPI alumni are employed at Raytheon, Pratt & Whitney, Dell, and BAE Systems. The average starting salary is over $74,000 and is one of the highest in the country. Over one-quarter of grads elect to pursue an advanced degree immediately after graduation, enrolling at institutions that recently included Georgia Tech, Brown, Johns Hopkins, and Stanford.

• Enrollment: 5,246 (undergraduate); 2,062 (graduate)
• Cost of Attendance: $81,751
• Acceptance Rate: 57%

Pomona College

Academic Highlights: There are 48 majors and minors to select from with the most popular being social sciences (23%), biology (13%), and computer science (12%). Majors in economics, international relations, chemistry, and mathematics receive especially high marks. More than 600 courses are on the menu at Pomona alone, but students can access any of the Claremont Consortium’s 2,700 courses. Pomona’s 8:1 student-to-teacher ratio leads to an average class size of only 15 students, and over 50% of the undergraduate population conduct research alongside a faculty member.

Professional Outcomes: 71% of the Class of 2022 were employed within six months of graduating. Overall, the largest number of alumni can be found at Google, Kaiser Permanente, Microsoft, Amazon, and Meta. Recently, economics degree-earners have landed jobs at Goldman Sachs, Wells Fargo, Morgan Stanley, or Accenture. Majors in the hard sciences frequently landed at top research laboratories and hospitals. Of the 21% of 2022 grads who were accepted directly into graduate school, the most frequently attended institutions included the University of Cambridge, Duke, Harvard, Caltech, UChicago, and Stanford.

• Enrollment: 1,761
• Cost of Attendance: $88,296

University of Virginia

• Charlottesville, VA

Academic Highlights: Undergrads can study within one of seven colleges/schools, which all offer many small classes; 15% boast single-digit enrollment and 48% contain 19 or fewer students. The McIntire School of Commerce and the School of Engineering and Applied Science have glowing reputations. Other notable strengths include computer science, economics, and political philosophy, policy, and law. The most popular degree areas are liberal arts/general studies (22%), the social sciences (14%), engineering (11%), business/marketing (8%), and biology (7%).

Professional Outcomes:  Upon receiving their degree, 95% of the Class of 2022 immediately joined the workforce–with an average starting salary of $90k–or headed directly to graduate school. The most popular industries were internet & software, higher education, and management consulting. Capital One (85), Deloitte (46), Amazon (38), and Bain & Co. (26) scooped up the greatest number of 2022 grads. UVA itself was the most popular grad school destination followed by Columbia, Virginia Commonwealth University, and Johns Hopkins.

• Enrollment: 17,496 (undergraduate); 8,653 (graduate)
• Cost of Attendance: $39,494-49,874 (in-state); $78,214-90,378 (out-of-state)
• Acceptance Rate: 19%

Northeastern University

Academic Highlights: Northeastern offers 290 majors and 180 combined majors within nine colleges and programs. Experiential learning is had by virtually all graduates, thanks to the school’s illustrious and robust co-op program. The D’Amore-McKim School of Business is a top-ranked school and offers one of the best international business programs anywhere, and both the College of Engineering and College of Computer Science are highly respected as well. Criminal justice, architecture, and nursing are three other majors that rate near the top nationally.

Professional Outcomes: Nine months after leaving Northeastern, 97% of students have landed at their next employment or graduate school destination. Huskies entering the job market are quickly rounded up by the likes of State Street, Fidelity Investments, IBM, and Amazon, all of whom employ 500+ Northeastern alums. Between 200 and 500 employees at Wayfair, Google, Amazon, Oracle, IBM, and Apple have an NU lineage. Starting salaries are above average (55% make more than $60k), in part due to the stellar co-op program.

• Enrollment: 20,980 (undergraduate); 15,826 (graduate)
• Cost of Attendance: $86,821

Purdue University — West Lafayette

• West Lafayette, IN

Academic Highlights: Purdue offers over 200 majors at ten discipline-specific colleges, and 38% of course sections have an enrollment of 19 or fewer. Engineering and engineering technologies majors earn 34% of the degrees conferred by the university; the College of Engineering cracks the top ten on almost every list of best engineering schools. The Krannert School of Management is also well-regarded by employers; 11% of degrees conferred are in business. Other popular majors include computer science (10%) and agriculture (5%)—both are incredibly strong.

Professional Outcomes: Shortly after receiving their diplomas, 70% of 2022 grads headed to the world of employment while 24% headed to graduate/professional school. The top industries entered by grads in recent years are (1) health care, pharmaceuticals, and medical devices; (2) finance, insurance, and consulting; (3) manufacturing and machinery; (4) airline, aviation, and aerospace. Companies employing the greatest number of recent alumni were Amazon, Deloitte, PepsiCo, Labcorp, Lockheed Martin, and Microsoft. The average starting salary was $68k across all degree programs.

• Enrollment: 37,949 (undergraduate); 12,935 (graduate)
• Cost of Attendance: $22,812 (in-state); $41,614 (out-of-state)
• Median SAT: 1330
• Median ACT: 31
• Acceptance Rate: 53%

Rutgers University — New Brunswick

• New Brunswick, NJ

Academic Highlights: Rutgers is divided into 17 schools and colleges, collectively offering 100+ undergraduate majors. 41% of class sections have an enrollment of nineteen or fewer students. The greatest number of degrees are conferred in business (20%), computer science (12%), engineering (10%), health professions (10%), biology (9%), and social sciences (7%). Rutgers Business School sends many majors to top Wall Street investment banks, and programs in computer science, public health, and criminal justice have a terrific national reputation.

Professional Outcomes: Upon graduation, 82% of Class of 2022 grads had secured a first job or were heading to an advanced degree program. 67% headed directly to the world of employment, where the companies hiring the largest number of grads included Amazon, Johnson & Johnson, L’Oréal, and JP Morgan Chase. Investment banks like Goldman Sachs and Citi also employ hundreds of alumni, as do companies like Verizon, Bristol-Meyers Squibb, Novartis, Pfizer, and Google. The median starting salary across all majors was $70,000.

• Enrollment: 36,344 (undergraduate); 14,293 (graduate)
• Cost of Attendance: $37,849 (in-state); $57,138 (out-of-state)
• Median SAT: 1370
• Acceptance Rate: 66%

Virginia Polytechnic Institute and State University

• Blacksburg, VA

Academic Highlights : Eight undergraduate colleges that offer 110+ distinct bachelor’s degrees are housed within Virginia Tech. 33% of sections contain fewer than 20 students, and 21% of recent graduates report participating in some type of undergraduate research experience. Engineering is the area where the greatest number of degrees are conferred (23%), but business (20%) is a close second. Both disciplines are among the most respected at Tech, along with computer science. Other popular majors include the family and consumer sciences (8%), social sciences (8%), biology (8%), and agriculture (4%).

Professional Outcomes: Within six months of graduating, 56% of the Class of 2022 were employed and 18% were in graduate school. One recent class sent large numbers to major corporations that included Deloitte (67), KPMG (44), Lockheed Martin (39), Capital One (30), EY (28), Booz Allen Hamilton (18), and Northrop Grumman (12). The median salary for 2022 graduates was $67,000. Among recent grads who decided to pursue an advanced degree, the greatest number stayed at VT, while others enrolled at Virginia Commonwealth University, George Mason University, William & Mary, Columbia, Duke, and Georgia Tech.

• Enrollment: 30,434 (undergraduate); 7,736 (graduate)
• Cost of Attendance: $37,252 (in-state); $58,750 (out-of-state)
• Median ACT: 29

University of Minnesota–Twin Cities

• Minneapolis, MN

Academic Highlights: There are 150 majors available across eight freshman-admitting undergraduate colleges. 65% of class sections enroll 29 or fewer students. The most commonly conferred degrees are in biology (13%), business & marketing (11%), engineering (10%), the social sciences (10%), computer science (9%), and psychology (8%). The College of Science and Engineering and the Carlson School of Management have strong national reputations, and the chemistry, economics, psychology, and political science departments are also well-regarded.

Professional Outcomes: The top seven companies snatching up the largest number of recent grads are all companies headquartered in the state of Minnesota: Medtronic, Target, 3M, United Health Group, US Bank, and Cargill. Google, Apple, and Meta all employ hundreds of Twin Cities alumni. The mean starting salary for recent grads was $50k. With 130 graduate programs in science, art, engineering, agriculture, medicine, and the humanities, the University of Minnesota retains many of its graduates as they pursue their next degrees.

• Enrollment: 39,248 (undergraduate); 15,707 (graduate)
• Cost of Attendance: $33,032-$35,632 (in-state); $54,446-$57,046
• Acceptance Rate: 75%
• Retention Rate: 90%

Pennsylvania State University — University Park

• State College, PA

Academic Highlights: Penn State offers 275 majors and a number of top-ranked programs in a host of disciplines. The College of Engineering is rated exceptionally well on a national scale and is also the most popular field of study, accounting for 15% of the degrees conferred. The Smeal College of Business is equally well-regarded, earning high rankings in everything from supply chain management to accounting to marketing. It attracts 15% of total degree-seekers. 61% of classes have an enrollment below thirty students.

Professional Outcomes: By graduation, 70% of Nittany Lions have found their next employment or graduate school home. 98% of College of Business grads are successful within three months of exiting, flocking in large numbers to stellar finance, accounting, consulting, and technology firms. Hundreds of alumni work at Citi, Salesforce, and Meta, and more than 500 currently work at each of IBM, Deloitte, PwC, Amazon, EY, JPMorgan Chase, Microsoft, Google, and Oracle. 75% of 2022 grads employed full-time earned starting salaries greater than $50k.

• Enrollment: 41,745 (undergraduate); 7,020 (graduate)
• Cost of Attendance: $32,656 (in-state); $52,610 (out-of-state)
• Median SAT: 1300
• Acceptance Rate: 55%

University of Massachusetts Amherst

Academic Highlights: 110 majors are offered across eight undergraduate colleges, including the highly ranked Isenberg School of Management. Programs in sports management, architecture, computer science, and nursing are top-rated. Of all degrees conferred in 2022, business/marketing diplomas accounted for 14%, followed by biology (11%), social sciences (10%), psychology (8%), health professions (7%), engineering (7%), and computer science (7%). 47% of courses enroll fewer than 20 students, and 30% engage in undergraduate research.

Professional Outcomes: Six months after graduating, 65% of newly minted 2022 grads were employed full-time and 26% were attending graduate school part-time. The most populated industries are health/medical professions (13%), internet & software (10%), biotech & life sciences (4%), and higher education (4%). Companies presently employing 100+ Minutemen and Minutewomen include Oracle, Mass Mutual, Amazon, IBM, Google, Intel, Microsoft, PwC, Wayfair, and Apple. Boston is the most popular landing spot for graduates.

• Enrollment: 23,936 (undergraduate); 7,874 (graduate)
• Cost of Attendance: $37,219 (in-state); $59,896 (out-of-state)
• Median SAT: 1380
• Acceptance Rate: 58%
• Graduation Rate: 83%

University of Colorado Boulder

• Boulder, CO

Academic Highlights: CU Boulder offers 90 bachelor’s degree programs across seven different schools and colleges; the College of Engineering & Applied Science and the Leeds School of Business both possess excellent national reputations. Business/marketing is the discipline where the greatest number of degrees (15%) were conferred in 2022. Engineering (13%), biology (12%), social sciences (12%), and journalism (10%) are next in popularity. 41% of classes have fewer than 20 students, and only 19% of courses enroll 50 or more students.

Professional Outcomes : Within six months of leaving CU Boulder, 91% of recent grads were working or in graduate school. Those employed earned an estimated median salary of $54k, with the greatest number working at Lockheed Martin, Ball Aerospace, Deloitte, Qualcomm, Northrop Grumman, KPMG, Charles Schwab, and Boeing. More than 100 alumni can also be found at Google, Oracle, Amazon, Apple, and Microsoft. 20% of new grads immediately jumped into an advanced degree program, and 80% were accepted into their first-choice school.

• Enrollment: 31,103 (undergraduate); 7,110 (graduate)
• Cost of Attendance: $31,744 (in-state); $60,118 (out-of-state)
• Median SAT: 1280
• Retention Rate: 88%
• Graduation Rate: 75%

Texas A&M University — College Station

• College Station, TX

Academic Highlights: With nineteen schools and colleges and 130+ undergraduate degree programs, Texas A&M is a massive operation. As the name implies, there is a heavy emphasis on agriculture, engineering, and business, which all place well in national rankings and garner deep respect from major corporations and graduate/professional schools. Class sizes trend large, but 24% of courses enroll fewer than 20 students and personal connections with professors are entirely possible, particularly through the research-oriented LAUNCH program.

Professional Outcomes: On graduation day, 54% of students had already received at least one job offer and 22% were heading to graduate/professional school. Many Aggies go on to work at major oil, tech, and consulting firms; more than 500 are employed at each of ExxonMobil, Halliburton, Chevron, EY, Amazon, Microsoft, Intel, Accenture, and PWC. Starting salaries were strong—on average, College of Engineering grads made $80k and College of Agriculture & Life Sciences grads netted $54k. A&M is also the eighth-largest producer of law students in the entire country.

• Enrollment: 57,512 (undergraduate); 16,502 (graduate)
• Cost of Attendance: $31,058 (in-state); $59,336 (out-of-state)
• Median SAT: 1270
• Acceptance Rate: 63%

Stony Brook University (SUNY)

• Stony Brook, NY

Academic Highlights: Stony Brook offers 60+ majors and 80+ minors across six undergraduate colleges. 38% of all sections contain nineteen or fewer students. A popular and locally well-regarded nursing program leads to the largest number of degrees being conferred in health professions (14%). Strong majors in biology (14%), math (10%), business (9%), engineering (7%), and computer sciences (6%) also draw many students. The school’s reputation in the hard sciences, particularly math, chemistry, and biomedical engineering, is aided by the affiliated Stony Brook University Hospital.

Professional Outcomes: Within two years of graduation, 61% of Stony Brook graduates are employed, and 34% have entered graduate/professional school. The organizations and companies employing the greatest number of Seawolves are Northwell Health, JPMorgan Chase, Google, Amazon, Citi, Morgan Stanley, Microsoft, Apple, Bloomberg, and Microsoft. Among those pursuing further education, common choices include Stony Brook itself, other SUNY or CUNY institutions, and NYC-based powerhouses like Columbia, Fordham, and NYU.

• Enrollment: 17,509 (undergraduate); 8,201 (graduate)
• Cost of Attendance: $33,008 (in-state); $52,798 (out-of-state)
• Median SAT: 1410
• Graduation Rate: 78%

The Ohio State University — Columbus

• Columbus, OH

Academic Highlights: There are 200+ undergraduate majors and 18 schools and colleges housed within OSU. Business sees the greatest percentage of degrees conferred at 18% followed by engineering (15%), health professions (10%), and the social sciences (9%). It makes sense that so many flock to the business and engineering schools as they are among the highest-rated undergraduate programs in their respective disciplines. 40% of sections enroll fewer than 20 students, and approximately 20% of students gain research experience.

Professional Outcomes: Upon receiving their diplomas, 56% of Class of 2022 graduates were entering the world of employment while 17% were already accepted into graduate or professional school.  Hordes of Buckeyes can be found at many of the nation’s leading companies. More than 2,000 alumni work for JPMorgan Chase, more than 1,000 are employed by Amazon, and more than 600 work for Google and Microsoft. Of the grads who directly matriculate into graduate or professional school, many continue in one of OSU’s own programs.

• Enrollment: 45,728 (undergraduate); 14,318 (graduate)
• Cost of Attendance: $27,241 (in-state); $52,747 (out-of-state)
• Median SAT: 1340-1450
• Median ACT: 29-32

We hope you have found our list of the Best Colleges for Computer Science to be useful and informative as you continue your college search process. We also invite you to check out some of our other resources and tools including:

• AP Score Calculators 
• SAT Score Calculator 
• ACT Score Calculator
• Best Summer Programs 
• College List Building Tool
• Best Colleges by Major

Andrew Belasco

A licensed counselor and published researcher, Andrew's experience in the field of college admissions and transition spans two decades. He has previously served as a high school counselor, consultant and author for Kaplan Test Prep, and advisor to U.S. Congress, reporting on issues related to college admissions and financial aid.

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Record number of ASU students selected for prestigious DAAD-RISE program

34 will participate in summer research internships in germany.

Thirty-four Arizona State University students (pictured above) have received the 2024 DAAD-RISE award. Photo courtesy the Office of National Scholarships Advisement

The Lorraine Frank Office of National Scholarships Advisement has announced that a record-high 34 Arizona State University students have been selected for the prestigious DAAD-RISE award in 2024, significantly exceeding the university’s 18 winners in 2023 and 13 in 2022.

The 2024 ASU awardees represent a wide range of STEM majors, including aerospace engineering, biochemistry, bioscience, biomedical engineering, computer science, mechanical engineering and neuroscience.

Twenty-six of the winners are in the Ira A. Fulton Schools of Engineering, eight are in The College of Liberal Arts and Sciences and one is in the College of Integrative Sciences and Arts. Twenty-one are in Barrett, The Honors College.

Sponsored by the German Academic Exchange Service , the DAAD-RISE program offers summer research internships in Germany for undergraduate students from North America, Great Britain and Ireland. In their internships, students assist doctoral students and researchers on projects that match their skills and interests. About 300 scholarships are available each year. This year’s ASU cohort will begin their internships in mid-May.

“This cycle, ASU broke records for both the number of applications submitted and the number of applications awarded. Through partnerships with the School of International Letters and Cultures, Fulton Schools of Engineering and (The College of Liberal Arts and Sciences), we’ve built a culture of applying that extends throughout STEM disciplines across campus,” said Catherine Salgado, program manager in the Office of National Scholarships Advisement (ONSA).

Salgado explained that ASU’s success in producing DAAD-RISE awardees is due to its progressive cohort advising model, which allows students to work on their applications in small group settings and attend writing workshops where DAAD-RISE alumni and ONSA advisors provide guidance and feedback.

ONSA also provides support for students who are put on the DAAD-RISE waitlist or who are not selected.

“We host a ‘What’s Next Webinar’ that allows students to reflect on their application as a whole and learn about future fellowship opportunities. Regardless of the result, we want anyone who applies to DAAD-RISE through ASU to feel supported and excited for the next chapter of their journey. Many DAAD-RISE applicants also go on to apply to prestigious upper-division fellowship opportunities, such as the  National Science Foundation Graduate Research Fellowship Program and Goldwater Scholarship,” Salgado said.  

Over the last four cycles, a DAAD-RISE awardee has been selected for the prestigious Goldwater Scholarship, the nation’s top honor for undergraduate STEM majors:  Isabella Huckabee  (2021),  Jasmin Falconer  (2022), Chloe Leff  (2023), Timothy Chase (2024) and Leslie Bustamante Hernandez (2024).

The 2024 DAAD-RISE recipients from ASU, their majors and where in Germany they’ll study are:

• Arshia Agarwal, junior, computer software, Karlsruhe.
• Saanvi Agrawal, junior, computer science, Aachen.
• Brianna Ashcroft, junior, mechanical engineering, Aachen.
• Leslie Bustamante Hernandez, junior, biochemistry, Berlin.
• Liam Caldwell, junior, mechanical engineering, Braunschweig.
• Jared Chiaramonte, junior, computer science, Dortmund.
• Meaghan D’arcy, junior, biomedical engineering, Heidelberg.
• Kathryn Dick, junior, bioscience, Freising.
• Megan Duncan, junior, materials science and engineering, Chemntiz.
• Kai Goldsmith, junior, applied bioscience, Gottingen.
• Soham Goel, sophomore, aerospace engineering, Wilhelmshaven.
• Manas Srinivas Gowda, junior, computer science, Kaiserslautern.
• Malea Grabow, junior, bioscience, Dortmund.
• Lily Guerrero, junior, biomedical engineering, Wuppertal.
• Kanav Gupta, sophomore, computer science, Gütersloh.
• Matalin Hansen, junior, mechanical engineering, Chemnitz.
• Ben Hanson, junior, computer science, Konstanz.
• Ethan Hurt, junior, biomedical engineering, Marburg.
• Casey Isabelle, junior, biomedical engineering, Kaiserslautern.
• Diya Jim, junior, computer science, Wuppertal.
• Lauren Kim, junior, neuroscience, Rostock.
• Owen Kruger, junior, computer science, Illmenau.
• Kiersten Lagerhausen, junior, biochemistry, Braunschweig.
• Frans Emil Malapo, junior, computer science, Zweibrücken.
• Anistynn Mendez, junior, molecular bioscience, Tuebingen.
• Elizabeth Nandana Shibu, sophomore, computer science, Zweibrücken.
• Toller Phipps, junior, electrical engineering, Kaiserslautern.
• Suraj Puvvadi, junior, biomedical informatics, Juelich.
• Angie Scanlan, junior, computer science, Aachen.
• Noah Severinghaus, junior, mechanical engineering, Frankfurt.
• Joshua Tint, junior, computer science, Munich.
• Thinh Tran, junior, computer science, Juelich.
• Albert Vo, junior, computer science, Wuppertal.
• Arya Yadav, sophomore, computer science, Freiberg.

“I feel very proud that I can represent ASU globally, and I am very excited about all the further research and cultural experiences this opportunity has opened up,” said Owen Kruger, whose research will focus on uncertainty quantification for deep learning.

Kruger said he hopes to gain extensive hands-on research experience and bring what he learns in Germany back to his research at ASU.

“Exploring this new area will grow me as a researcher and help me better identify what area of deep learning research I may want to pursue in the future. I am also hoping that taking home these new skills can provide valuable perspectives to my ongoing research here at ASU, where I work on deep learning applications. Outside of research though, I’m hoping to absorb as much culture as I can while in Germany,” he said.

Lauren Kim will research the extent to which harbor seals are able to differentiate between time intervals and gain hands-on experience in zoological research, sharpening skills she will use in future career endeavors.

“My goals after graduating are to attend veterinary school and then become a Doctor of Veterinary Medicine who perhaps does research as well. So I believe working on a research project with harbor seals is ideally suited for these goals. ... In the port city of Rostock, Germany, I will have a unique opportunity to be right by the ocean, learning about the animals that thrive there,” she said.

“Caring for marine mammals in a research setting will add to my knowledge of different animal species, which I can apply in veterinary school and as veterinarian, treating my diverse array of animal patients."

Leslie Bustamante Hernandez said she is “excited, grateful and nervous” about the chance to conduct research abroad. Her project will focus on understanding the interactions between the immune system and the intestinal environment, particularly innate lymphoid cells (ILCs) and their roles in maintaining intestinal health.

“Coming from a family who has never traveled abroad, I am incredibly grateful that I get the opportunity to explore the world for them. Even better with a program that will place me one step ahead of my future goals. It is an honor to be selected and a validation to my commitment in research,” said Bustamante, who hopes in the future to obtain a PhD in immunology and conduct interdisciplinary research.

“Also, participating in international experiences like the DAAD-RISE program will provide me with insights into successful strategies for fostering diversity and inclusion in academia. I will engage with scholars who grew up in different cultures, and network with other scientists with similar interests,” she added.

Salgado encourages students to attend an information session in October and meet with her as soon as possible after the application opens to discuss how DAAD-RISE fits in with their goals and strategize a feasible application timeline.

The next six-week application cycle for the DAAD-RISE will open in November and close in December. Students who are interested in applying can reach out to ONSA at  [email protected]  for further information.

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