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Five Hundred Most-Cited Papers in the Computer Sciences: Trends, Relationships and Common Factors

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• Phoey Lee Teh   ORCID: orcid.org/0000-0002-7787-1299 19 &
• Peter Heard   ORCID: orcid.org/0000-0002-5135-7822 20  

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1366))

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This study reveals common factors among highly cited papers in the computer sciences. The 500 most cited papers in the computer sciences published between January 2013 and December 2017 were downloaded from the Web of Science (WoS). Data on the number of citations, number of authors, article length and subject sub-discipline were extracted and analyzed in order to identify trends, relationships and common features. Correlations between common factors were analyzed. The 500 papers were cited a total of 10,926 times: the average number of citations per paper was 21.82 citations. A correlation was found between author credibility (defined in terms of the QS University Ranking of the first named author’s affiliation) and the number of citations. Authors from universities ranked 350 or higher were more cited than those from lower ranked universities. Relationships were also found between journal ranking and both the number of authors and the article length. Higher ranked journals tend to have a greater number of authors, but were of shorter length. The article length was also found to be correlated with the number of authors and the QS Subject Ranking of the first author’s affiliation. The proportion of articles in higher ranked journals (journal quartile), the length of articles and the number of citations per page were all found to correlate to the sub-discipline area (Information Systems; Software Engineering; Artificial Intelligence; Interdisciplinary Applications; and Theory and Methods).

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Department of Computing and Information Systems, School of Science and Technology, Sunway University, 47500, Sunway City, Malaysia

Phoey Lee Teh

Provost Office, Sunway University, 47500, Sunway City, Malaysia

Peter Heard

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ISEG, University of Lisbon, Lisbon, Portugal

Álvaro Rocha

College of Engineering, The Ohio State University, Columbus, OH, USA

Hojjat Adeli

Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

Gintautas Dzemyda

DCT, Universidade Portucalense, Porto, Portugal

Fernando Moreira

Department of Information Sciences, University of Sheffield, Lisbon, Portugal

Ana Maria Ramalho Correia

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Teh, P.L., Heard, P. (2021). Five Hundred Most-Cited Papers in the Computer Sciences: Trends, Relationships and Common Factors. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1366. Springer, Cham. https://doi.org/10.1007/978-3-030-72651-5_2

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Published : 29 March 2021

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Well-known publications include: Lecture Notes in Computer Science (LNCS) as well as LNBIP and CCIS proceedings series, International Journal of Computer Vision (IJCV), Undergraduate Topics in Computer Science (UTiCS) and the best-selling The Algorithm Design Manual. Society partners include the China Computer Federation (CCF) and International Federation for Information Processing (IFIP).

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Artificial Intelligence

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Image Processing, Computer Vision, Pattern Recognition & Graphics

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Software Engineering

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Lecture Notes in Computer Science (LNCS)

The starting page for the Lecture Notes in Computer Science (LNCS) series and its sister series CCIS, LNBIP, LNICST, and IFIP AICT.

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Hiring CS Graduates: What We Learned from Employers

Computer science ( CS ) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer science-specific hiring processes. However, the hiring process for CS majors may be different. It is critical to have up-to-date information on questions such as “what positions are in high demand for CS majors?,” “what is a typical hiring process?,” and “what do employers say they look for when hiring CS graduates?” This article discusses the analysis of a survey of 218 recruiters hiring CS graduates in the United States. We used Atlas.ti to analyze qualitative survey data and report the results on what positions are in the highest demand, the hiring process, and the resume review process. Our study revealed that a software developer was the most common job the recruiters were looking to fill. We found that the hiring process steps for CS graduates are generally aligned with traditional hiring steps, with an additional emphasis on technical and coding tests. Recruiters reported that their hiring choices were based on reviewing resume’s experience, GPA, and projects sections. The results provide insights into the hiring process, decision making, resume analysis, and some discrepancies between current undergraduate CS program outcomes and employers’ expectations.

A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature

Context. Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly enough to perform replications, conduct meta-analyses, and build theories. There is a need to understand whether published research allows the CER community to systematically advance knowledge and build theories. Objectives. The goal of this study is to characterize the reporting of empiricism in Computing Education Research literature by identifying whether publications include content necessary for researchers to perform replications, meta-analyses, and theory building. We answer three research questions related to this goal: (RQ1) What percentage of papers in CER venues have some form of empirical evaluation? (RQ2) Of the papers that have empirical evaluation, what are the characteristics of the empirical evaluation? (RQ3) Of the papers that have empirical evaluation, do they follow norms (both for inclusion and for labeling of information needed for replication, meta-analysis, and, eventually, theory-building) for reporting empirical work? Methods. We conducted a systematic literature review of the 2014 and 2015 proceedings or issues of five CER venues: Technical Symposium on Computer Science Education (SIGCSE TS), International Symposium on Computing Education Research (ICER), Conference on Innovation and Technology in Computer Science Education (ITiCSE), ACM Transactions on Computing Education (TOCE), and Computer Science Education (CSE). We developed and applied the CER Empiricism Assessment Rubric to the 427 papers accepted and published at these venues over 2014 and 2015. Two people evaluated each paper using the Base Rubric for characterizing the paper. An individual person applied the other rubrics to characterize the norms of reporting, as appropriate for the paper type. Any discrepancies or questions were discussed between multiple reviewers to resolve. Results. We found that over 80% of papers accepted across all five venues had some form of empirical evaluation. Quantitative evaluation methods were the most frequently reported. Papers most frequently reported results on interventions around pedagogical techniques, curriculum, community, or tools. There was a split in papers that had some type of comparison between an intervention and some other dataset or baseline. Most papers reported related work, following the expectations for doing so in the SIGCSE and CER community. However, many papers were lacking properly reported research objectives, goals, research questions, or hypotheses; description of participants; study design; data collection; and threats to validity. These results align with prior surveys of the CER literature. Conclusions. CER authors are contributing empirical results to the literature; however, not all norms for reporting are met. We encourage authors to provide clear, labeled details about their work so readers can use the study methodologies and results for replications and meta-analyses. As our community grows, our reporting of CER should mature to help establish computing education theory to support the next generation of computing learners.

Light Diacritic Restoration to Disambiguate Homographs in Modern Arabic Texts

Diacritic restoration (also known as diacritization or vowelization) is the process of inserting the correct diacritical markings into a text. Modern Arabic is typically written without diacritics, e.g., newspapers. This lack of diacritical markings often causes ambiguity, and though natives are adept at resolving, there are times they may fail. Diacritic restoration is a classical problem in computer science. Still, as most of the works tackle the full (heavy) diacritization of text, we, however, are interested in diacritizing the text using a fewer number of diacritics. Studies have shown that a fully diacritized text is visually displeasing and slows down the reading. This article proposes a system to diacritize homographs using the least number of diacritics, thus the name “light.” There is a large class of words that fall under the homograph category, and we will be dealing with the class of words that share the spelling but not the meaning. With fewer diacritics, we do not expect any effect on reading speed, while eye strain is reduced. The system contains morphological analyzer and context similarities. The morphological analyzer is used to generate all word candidates for diacritics. Then, through a statistical approach and context similarities, we resolve the homographs. Experimentally, the system shows very promising results, and our best accuracy is 85.6%.

A genre-based analysis of questions and comments in Q&A sessions after conference paper presentations in computer science

Gender diversity in computer science at a large public r1 research university: reporting on a self-study.

With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25–30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University–New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.

Designing for Student-Directedness: How K–12 Teachers Utilize Peers to Support Projects

Student-directed projects—projects in which students have individual control over what they create and how to create it—are a promising practice for supporting the development of conceptual understanding and personal interest in K–12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design principle identified by a group of K–12 computer science teachers who support student-directed projects in their classrooms: in order for students to develop their own ideas and determine how to pursue them, students must have opportunities to engage with other students’ work. In this qualitative study, we investigated the instructional practices of 25 K–12 teachers using a series of in-depth, semi-structured interviews to develop understandings of how they used peer work to support student-directed projects in their classrooms. Teachers described supporting their students in navigating three stages of project development: generating ideas, pursuing ideas, and presenting ideas. For each of these three stages, teachers considered multiple factors to encourage engagement with peer work in their classrooms, including the quality and completeness of shared work and the modes of interaction with the work. We discuss how this pedagogical approach offers students new relationships to their own learning, to their peers, and to their teachers and communicates important messages to students about their own competence and agency, potentially contributing to aims within computer science for broadening participation.

Creativity in CS1: A Literature Review

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.

CATS: Customizable Abstractive Topic-based Summarization

Neural sequence-to-sequence models are the state-of-the-art approach used in abstractive summarization of textual documents, useful for producing condensed versions of source text narratives without being restricted to using only words from the original text. Despite the advances in abstractive summarization, custom generation of summaries (e.g., towards a user’s preference) remains unexplored. In this article, we present CATS, an abstractive neural summarization model that summarizes content in a sequence-to-sequence fashion while also introducing a new mechanism to control the underlying latent topic distribution of the produced summaries. We empirically illustrate the efficacy of our model in producing customized summaries and present findings that facilitate the design of such systems. We use the well-known CNN/DailyMail dataset to evaluate our model. Furthermore, we present a transfer-learning method and demonstrate the effectiveness of our approach in a low resource setting, i.e., abstractive summarization of meetings minutes, where combining the main available meetings’ transcripts datasets, AMI and International Computer Science Institute(ICSI) , results in merely a few hundred training documents.

Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysis

Factors affecting student educational choices regarding oer material in computer science, export citation format, share document.

Reference management. Clean and simple.

The top list of computer science research databases

1. ACM Digital Library

2. ieee xplore digital library, 3. dblp computer science bibliography, 4. springer lecture notes in computer science (lncs), frequently asked questions about computer science research databases, related articles.

Besides the interdisciplinary research databases Web of Science and Scopus there are also academic databases specifically dedicated to computer science. We have compiled a list of the top 4 research databases with a special focus on computer science to help you find research papers, scholarly articles, and conference papers fast.

ACM Digital Library is the clear number one when it comes to academic databases for computer science. The ACM Full-Text Collection currently has 540,000+ articles, while the ACM Guide to Computing Literature holds more than 2.8+ million bibliographic entries.

• Coverage: 2.8+ million articles
• Abstracts: ✔
• Related articles: ✘
• References: ✔
• Cited by: ✔
• Full text: ✔ (requires institutional subscription)
• Export formats: BibTeX, EndNote

Pro tip: Use a reference manager like Paperpile to keep track of all your sources. Paperpile integrates with ACM Digital Library and many popular databases, so you can save references and PDFs directly to your library using the Paperpile buttons and later cite them in thousands of citation styles:

IEEE Xplore holds more than 4.7 million research articles from the fields of electrical engineering, computer science, and electronics. It not only covers articles published in scholarly journals, but also conference papers, technical standards, as well as some books.

• Coverage: 4.7+ million articles
• Export formats: BibTeX, RIS

Hosted at the University of Trier, Germany, dbpl has become an indispensable resource in the field of computer science. Its index covers journal articles, conference and workshop proceedings, as well as monographs.

• Coverage: 4.3 million articles
• Abstracts: ✘
• References: ✘
• Cited by: ✘
• Full text: ✘ (Links to publisher websites available)
• Export formats: RIS, BibTeX

Springer's Lecture Notes in Computer Science is the number one publishing source for conference proceedings covering all areas of computer science.

• Coverage: 415,000+ articles
• Export formats: RIS, EndNote, BibTeX

Hosted at the University of Trier, Germany, dbpl has become an indispensable resource in the field of computer science. It's index covers journal articles, conference and workshop proceedings, as well as monographs.

Microsoft Academic was a free academic search engine developed by Microsoft Research. It had more than 13.9 million articles indexed. It was shut down in 2022.

EEE Xplore holds more than 4.7 million research articles from the fields of electrical engineering, computer science, and electronics. It not only covers articles published in scholarly journals, but also conference papers, technical standards, as well as some books.

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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Journal of Computer Science

Aims and scope.

The Journal of Computer Science (JCS) is dedicated to advancing computer science by publishing high-quality research and review articles that span both theoretical foundations and practical applications in information, computation, and computer systems. With a commitment to excellence, JCS offers a platform for researchers, scholars, and industry professionals to share their insights and contribute to the ongoing evolution of computer science. Published on a monthly basis, JCS provides up-to-date insights into this ever-evolving discipline.

Science Publications is pleased to announce the launch of a new open access journal, Journal of Adaptive Structures. JAS brings together emerging technologies for adaptive smart structures, including advanced materials, smart actuation, sensing and control, to pursue the progressive adoption of the major scientific achievements in this multidisciplinary field on-board of commercial aircraft.

It is with great pleasure that we announce the SGAMR Annual Awards 2020. This award is given annually to Researchers and Reviewers of International Journal of Structural Glass and Advanced Materials Research (SGAMR) who have shown innovative contributions and promising research as well as others who have excelled in their Editorial duties.

This special issue "Neuroinflammation and COVID-19" aims to provide a space for debate in the face of the growing evidence on the affectation of the nervous system by COVID-19, supported by original studies and case series.

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Mendeley Blog

The top 10 research papers in computer science by mendeley readership..

Since we recently announced our $10001 Binary Battle to promote applications built on the Mendeley API ( now including PLoS as well), I decided to take a look at the data to see what people have to work with. My analysis focused on our second largest discipline, Computer Science. Biological Sciences (my discipline) is the largest, but I started with this one so that I could look at the data with fresh eyes, and also because it’s got some really cool papers to talk about. Here’s what I found: What I found was a fascinating list of topics, with many of the expected fundamental papers like Shannon’s Theory of Information and the Google paper, a strong showing from Mapreduce and machine learning, but also some interesting hints that augmented reality may be becoming more of an actual reality soon.

LDA is a means of classifying objects, such as documents, based on their underlying topics. I was surprised to see this paper as number one instead of Shannon’s information theory paper (#7) or the paper describing the concept that became Google (#3). It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. In fact, AI researchers contributed the majority of readership to 6 out of the top 10 papers. Presumably, those interested in popular topics such as machine learning list themselves under AI, which explains the strength of this subdiscipline, whereas papers like the Mapreduce one or the Google paper appeal to a broad range of subdisciplines, giving those papers a smaller numbers spread across more subdisciplines. Professor Blei is also a bit of a superstar, so that didn’t hurt. (the irony of a manually-categorized list with an LDA paper at the top has not escaped us)

2. MapReduce : Simplified Data Processing on Large Clusters (available full-text)

It’s no surprise to see this in the Top 10 either, given the huge appeal of this parallelization technique for breaking down huge computations into easily executable and recombinable chunks. The importance of the monolithic “Big Iron” supercomputer has been on the wane for decades. The interesting thing about this paper is that had some of the lowest readership scores of the top papers within a subdiscipline, but folks from across the entire spectrum of computer science are reading it. This is perhaps expected for such a general purpose technique, but given the above it’s strange that there are no AI readers of this paper at all.

3. The Anatomy of a large-scale hypertextual search engine (available full-text)

In this paper, Google founders Sergey Brin and Larry Page discuss how Google was created and how it initially worked. This is another paper that has high readership across a broad swath of disciplines, including AI, but wasn’t dominated by any one discipline. I would expect that the largest share of readers have it in their library mostly out of curiosity rather than direct relevance to their research. It’s a fascinating piece of history related to something that has now become part of our every day lives.

4. Distinctive Image Features from Scale-Invariant Keypoints

This paper was new to me, although I’m sure it’s not new to many of you. This paper describes how to identify objects in a video stream without regard to how near or far away they are or how they’re oriented with respect to the camera. AI again drove the popularity of this paper in large part and to understand why, think “ Augmented Reality “. AR is the futuristic idea most familiar to the average sci-fi enthusiast as Terminator-vision . Given the strong interest in the topic, AR could be closer than we think, but we’ll probably use it to layer Groupon deals over shops we pass by instead of building unstoppable fighting machines.

5. Reinforcement Learning: An Introduction (available full-text)

This is another machine learning paper and its presence in the top 10 is primarily due to AI, with a small contribution from folks listing neural networks as their discipline, most likely due to the paper being published in IEEE Transactions on Neural Networks. Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is is controlled by the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli. This is how we’ll teach the robots behaviors in a human fashion, before they rise up and destroy us.

6. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions (available full-text)

Popular among AI and information retrieval researchers, this paper discusses recommendation algorithms and classifies them into collaborative, content-based, or hybrid. While I wouldn’t call this paper a groundbreaking event of the caliber of the Shannon paper above, I can certainly understand why it makes such a strong showing here. If you’re using Mendeley, you’re using both collaborative and content-based discovery methods!

7. A Mathematical Theory of Communication (available full-text)

Now we’re back to more fundamental papers. I would really have expected this to be at least number 3 or 4, but the strong showing by the AI discipline for the machine learning papers in spots 1, 4, and 5 pushed it down. This paper discusses the theory of sending communications down a noisy channel and demonstrates a few key engineering parameters, such as entropy, which is the range of states of a given communication. It’s one of the more fundamental papers of computer science, founding the field of information theory and enabling the development of the very tubes through which you received this web page you’re reading now. It’s also the first place the word “bit”, short for binary digit, is found in the published literature.

8. The Semantic Web (available full-text)

In The Semantic Web, Tim Berners-Lee, Sir Tim, the inventor of the World Wide Web, describes his vision for the web of the future. Now, 10 years later, it’s fascinating to look back though it and see on which points the web has delivered on its promise and how far away we still remain in so many others. This is different from the other papers above in that it’s a descriptive piece, not primary research as above, but still deserves it’s place in the list and readership will only grow as we get ever closer to his vision.

9. Convex Optimization (available full-text)

This is a very popular book on a widely used optimization technique in signal processing. Convex optimization tries to find the provably optimal solution to an optimization problem, as opposed to a nearby maximum or minimum. While this seems like a highly specialized niche area, it’s of importance to machine learning and AI researchers, so it was able to pull in a nice readership on Mendeley. Professor Boyd has a very popular set of video classes at Stanford on the subject, which probably gave this a little boost, as well. The point here is that print publications aren’t the only way of communicating your ideas. Videos of techniques at SciVee or JoVE or recorded lectures ( previously ) can really help spread awareness of your research.

10. Object recognition from local scale-invariant features (available in full-text)

This is another paper on the same topic as paper #4, and it’s by the same author. Looking across subdisciplines as we did here, it’s not surprising to see two related papers, of interest to the main driving discipline, appear twice. Adding the readers from this paper to the #4 paper would be enough to put it in the #2 spot, just below the LDA paper.

Conclusions

So what’s the moral of the story? Well, there are a few things to note. First of all, it shows that Mendeley readership data is good enough to reveal both papers of long-standing importance as well as interesting upcoming trends. Fun stuff can be done with this! How about a Mendeley leaderboard? You could grab the number of readers for each paper published by members of your group, and have some friendly competition to see who can get the most readers, month-over-month. Comparing yourself against others in terms of readers per paper could put a big smile on your face, or it could be a gentle nudge to get out to more conferences or maybe record a video of your technique for JoVE or Khan Academy or just Youtube.

Another thing to note is that these results don’t necessarily mean that AI researchers are the most influential researchers or the most numerous, just the best at being accounted for. To make sure you’re counted properly, be sure you list your subdiscipline on your profile, or if you can’t find your exact one, pick the closest one, like the machine learning folks did with the AI subdiscipline. We recognize that almost everyone does interdisciplinary work these days. We’re working on a more flexible discipline assignment system, but for now, just pick your favorite one.

These stats were derived from the entire readership history, so they do reflect a founder effect to some degree. Limiting the analysis to the past 3 months would probably reveal different trends and comparing month-to-month changes could reveal rising stars.

Technical details: To do this analysis I queried the Mendeley database, analyzed the data using R , and prepared the figures with Tableau Public . A similar analysis can be done dynamically using the Mendeley API . The API returns JSON, which can be imported into R using the fine RJSONIO package from Duncan Temple Lang and Carl Boettiger is implementing the Mendeley API in R . You could also interface with the Google Visualization API to make motion charts showing a dynamic representation of this multi-dimensional data. There’s all kinds of stuff you could do, so go have some fun with it. I know I did.

Share this:

2 thoughts on “ the top 10 research papers in computer science by mendeley readership. ”.

You might consider revisiting the subdiscipline list, e.g. split computer vision, robotics and machine learning from AI, since the latest is a fuzzy and uncertain concept. Neural networks could be combined with machine learning, though.

Especially in fast-growing fields like computer science, discipline will always be a somewhat fuzzy concept. We are working on a way for people to assign themselves and papers to disciplines in a more flexible way.

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Home » 500+ Computer Science Research Topics

500+ Computer Science Research Topics

Computer Science is a constantly evolving field that has transformed the world we live in today. With new technologies emerging every day, there are countless research opportunities in this field. Whether you are interested in artificial intelligence, machine learning, cybersecurity, data analytics, or computer networks, there are endless possibilities to explore. In this post, we will delve into some of the most interesting and important research topics in Computer Science. From the latest advancements in programming languages to the development of cutting-edge algorithms, we will explore the latest trends and innovations that are shaping the future of Computer Science. So, whether you are a student or a professional, read on to discover some of the most exciting research topics in this dynamic and rapidly expanding field.

Computer Science Research Topics

Computer Science Research Topics are as follows:

• Using machine learning to detect and prevent cyber attacks
• Developing algorithms for optimized resource allocation in cloud computing
• Investigating the use of blockchain technology for secure and decentralized data storage
• Developing intelligent chatbots for customer service
• Investigating the effectiveness of deep learning for natural language processing
• Developing algorithms for detecting and removing fake news from social media
• Investigating the impact of social media on mental health
• Developing algorithms for efficient image and video compression
• Investigating the use of big data analytics for predictive maintenance in manufacturing
• Developing algorithms for identifying and mitigating bias in machine learning models
• Investigating the ethical implications of autonomous vehicles
• Developing algorithms for detecting and preventing cyberbullying
• Investigating the use of machine learning for personalized medicine
• Developing algorithms for efficient and accurate speech recognition
• Investigating the impact of social media on political polarization
• Developing algorithms for sentiment analysis in social media data
• Investigating the use of virtual reality in education
• Developing algorithms for efficient data encryption and decryption
• Investigating the impact of technology on workplace productivity
• Developing algorithms for detecting and mitigating deepfakes
• Investigating the use of artificial intelligence in financial trading
• Developing algorithms for efficient database management
• Investigating the effectiveness of online learning platforms
• Developing algorithms for efficient and accurate facial recognition
• Investigating the use of machine learning for predicting weather patterns
• Developing algorithms for efficient and secure data transfer
• Investigating the impact of technology on social skills and communication
• Developing algorithms for efficient and accurate object recognition
• Investigating the use of machine learning for fraud detection in finance
• Developing algorithms for efficient and secure authentication systems
• Investigating the impact of technology on privacy and surveillance
• Developing algorithms for efficient and accurate handwriting recognition
• Investigating the use of machine learning for predicting stock prices
• Developing algorithms for efficient and secure biometric identification
• Investigating the impact of technology on mental health and well-being
• Developing algorithms for efficient and accurate language translation
• Investigating the use of machine learning for personalized advertising
• Developing algorithms for efficient and secure payment systems
• Investigating the impact of technology on the job market and automation
• Developing algorithms for efficient and accurate object tracking
• Investigating the use of machine learning for predicting disease outbreaks
• Developing algorithms for efficient and secure access control
• Investigating the impact of technology on human behavior and decision making
• Developing algorithms for efficient and accurate sound recognition
• Investigating the use of machine learning for predicting customer behavior
• Developing algorithms for efficient and secure data backup and recovery
• Investigating the impact of technology on education and learning outcomes
• Developing algorithms for efficient and accurate emotion recognition
• Investigating the use of machine learning for improving healthcare outcomes
• Developing algorithms for efficient and secure supply chain management
• Investigating the impact of technology on cultural and societal norms
• Developing algorithms for efficient and accurate gesture recognition
• Investigating the use of machine learning for predicting consumer demand
• Developing algorithms for efficient and secure cloud storage
• Investigating the impact of technology on environmental sustainability
• Developing algorithms for efficient and accurate voice recognition
• Investigating the use of machine learning for improving transportation systems
• Developing algorithms for efficient and secure mobile device management
• Investigating the impact of technology on social inequality and access to resources
• Machine learning for healthcare diagnosis and treatment
• Machine Learning for Cybersecurity
• Machine learning for personalized medicine
• Cybersecurity threats and defense strategies
• Big data analytics for business intelligence
• Blockchain technology and its applications
• Human-computer interaction in virtual reality environments
• Artificial intelligence for autonomous vehicles
• Natural language processing for chatbots
• Cloud computing and its impact on the IT industry
• Internet of Things (IoT) and smart homes
• Robotics and automation in manufacturing
• Augmented reality and its potential in education
• Data mining techniques for customer relationship management
• Computer vision for object recognition and tracking
• Quantum computing and its applications in cryptography
• Social media analytics and sentiment analysis
• Recommender systems for personalized content delivery
• Mobile computing and its impact on society
• Bioinformatics and genomic data analysis
• Deep learning for image and speech recognition
• Digital signal processing and audio processing algorithms
• Cloud storage and data security in the cloud
• Wearable technology and its impact on healthcare
• Computational linguistics for natural language understanding
• Cognitive computing for decision support systems
• Cyber-physical systems and their applications
• Edge computing and its impact on IoT
• Machine learning for fraud detection
• Cryptography and its role in secure communication
• Cybersecurity risks in the era of the Internet of Things
• Natural language generation for automated report writing
• 3D printing and its impact on manufacturing
• Virtual assistants and their applications in daily life
• Cloud-based gaming and its impact on the gaming industry
• Computer networks and their security issues
• Cyber forensics and its role in criminal investigations
• Machine learning for predictive maintenance in industrial settings
• Augmented reality for cultural heritage preservation
• Human-robot interaction and its applications
• Data visualization and its impact on decision-making
• Cybersecurity in financial systems and blockchain
• Computer graphics and animation techniques
• Biometrics and its role in secure authentication
• Cloud-based e-learning platforms and their impact on education
• Natural language processing for machine translation
• Machine learning for predictive maintenance in healthcare
• Cybersecurity and privacy issues in social media
• Computer vision for medical image analysis
• Natural language generation for content creation
• Cybersecurity challenges in cloud computing
• Human-robot collaboration in manufacturing
• Data mining for predicting customer churn
• Artificial intelligence for autonomous drones
• Cybersecurity risks in the healthcare industry
• Machine learning for speech synthesis
• Edge computing for low-latency applications
• Virtual reality for mental health therapy
• Quantum computing and its applications in finance
• Biomedical engineering and its applications
• Cybersecurity in autonomous systems
• Machine learning for predictive maintenance in transportation
• Computer vision for object detection in autonomous driving
• Augmented reality for industrial training and simulations
• Cloud-based cybersecurity solutions for small businesses
• Natural language processing for knowledge management
• Machine learning for personalized advertising
• Cybersecurity in the supply chain management
• Cybersecurity risks in the energy sector
• Computer vision for facial recognition
• Natural language processing for social media analysis
• Machine learning for sentiment analysis in customer reviews
• Explainable Artificial Intelligence
• Quantum Computing
• Blockchain Technology
• Human-Computer Interaction
• Natural Language Processing
• Cloud Computing
• Robotics and Automation
• Augmented Reality and Virtual Reality
• Cyber-Physical Systems
• Computational Neuroscience
• Big Data Analytics
• Computer Vision
• Cryptography and Network Security
• Internet of Things
• Computer Graphics and Visualization
• Artificial Intelligence for Game Design
• Computational Biology
• Social Network Analysis
• Bioinformatics
• Distributed Systems and Middleware
• Information Retrieval and Data Mining
• Computer Networks
• Mobile Computing and Wireless Networks
• Software Engineering
• Database Systems
• Parallel and Distributed Computing
• Human-Robot Interaction
• Intelligent Transportation Systems
• High-Performance Computing
• Cyber-Physical Security
• Deep Learning
• Sensor Networks
• Multi-Agent Systems
• Human-Centered Computing
• Wearable Computing
• Knowledge Representation and Reasoning
• Adaptive Systems
• Brain-Computer Interface
• Health Informatics
• Cognitive Computing
• Cybersecurity and Privacy
• Internet Security
• Cybercrime and Digital Forensics
• Cloud Security
• Cryptocurrencies and Digital Payments
• Machine Learning for Natural Language Generation
• Cognitive Robotics
• Neural Networks
• Semantic Web
• Image Processing
• Cyber Threat Intelligence
• Secure Mobile Computing
• Cybersecurity Education and Training
• Privacy Preserving Techniques
• Cyber-Physical Systems Security
• Virtualization and Containerization
• Machine Learning for Computer Vision
• Network Function Virtualization
• Cybersecurity Risk Management
• Information Security Governance
• Intrusion Detection and Prevention
• Biometric Authentication
• Machine Learning for Predictive Maintenance
• Security in Cloud-based Environments
• Cybersecurity for Industrial Control Systems
• Smart Grid Security
• Software Defined Networking
• Quantum Cryptography
• Security in the Internet of Things
• Natural language processing for sentiment analysis
• Blockchain technology for secure data sharing
• Developing efficient algorithms for big data analysis
• Cybersecurity for internet of things (IoT) devices
• Human-robot interaction for industrial automation
• Image recognition for autonomous vehicles
• Social media analytics for marketing strategy
• Quantum computing for solving complex problems
• Biometric authentication for secure access control
• Augmented reality for education and training
• Intelligent transportation systems for traffic management
• Predictive modeling for financial markets
• Cloud computing for scalable data storage and processing
• Virtual reality for therapy and mental health treatment
• Data visualization for business intelligence
• Recommender systems for personalized product recommendations
• Speech recognition for voice-controlled devices
• Mobile computing for real-time location-based services
• Neural networks for predicting user behavior
• Genetic algorithms for optimization problems
• Distributed computing for parallel processing
• Internet of things (IoT) for smart cities
• Wireless sensor networks for environmental monitoring
• Cloud-based gaming for high-performance gaming
• Social network analysis for identifying influencers
• Autonomous systems for agriculture
• Robotics for disaster response
• Data mining for customer segmentation
• Computer graphics for visual effects in movies and video games
• Virtual assistants for personalized customer service
• Natural language understanding for chatbots
• 3D printing for manufacturing prototypes
• Artificial intelligence for stock trading
• Machine learning for weather forecasting
• Biomedical engineering for prosthetics and implants
• Cybersecurity for financial institutions
• Machine learning for energy consumption optimization
• Computer vision for object tracking
• Natural language processing for document summarization
• Wearable technology for health and fitness monitoring
• Internet of things (IoT) for home automation
• Reinforcement learning for robotics control
• Big data analytics for customer insights
• Machine learning for supply chain optimization
• Natural language processing for legal document analysis
• Artificial intelligence for drug discovery
• Computer vision for object recognition in robotics
• Data mining for customer churn prediction
• Autonomous systems for space exploration
• Robotics for agriculture automation
• Machine learning for predicting earthquakes
• Natural language processing for sentiment analysis in customer reviews
• Big data analytics for predicting natural disasters
• Internet of things (IoT) for remote patient monitoring
• Blockchain technology for digital identity management
• Machine learning for predicting wildfire spread
• Computer vision for gesture recognition
• Natural language processing for automated translation
• Big data analytics for fraud detection in banking
• Internet of things (IoT) for smart homes
• Robotics for warehouse automation
• Machine learning for predicting air pollution
• Natural language processing for medical record analysis
• Augmented reality for architectural design
• Big data analytics for predicting traffic congestion
• Machine learning for predicting customer lifetime value
• Developing algorithms for efficient and accurate text recognition
• Natural Language Processing for Virtual Assistants
• Natural Language Processing for Sentiment Analysis in Social Media
• Explainable Artificial Intelligence (XAI) for Trust and Transparency
• Deep Learning for Image and Video Retrieval
• Edge Computing for Internet of Things (IoT) Applications
• Data Science for Social Media Analytics
• Cybersecurity for Critical Infrastructure Protection
• Natural Language Processing for Text Classification
• Quantum Computing for Optimization Problems
• Machine Learning for Personalized Health Monitoring
• Computer Vision for Autonomous Driving
• Blockchain Technology for Supply Chain Management
• Augmented Reality for Education and Training
• Natural Language Processing for Sentiment Analysis
• Machine Learning for Personalized Marketing
• Big Data Analytics for Financial Fraud Detection
• Cybersecurity for Cloud Security Assessment
• Artificial Intelligence for Natural Language Understanding
• Blockchain Technology for Decentralized Applications
• Virtual Reality for Cultural Heritage Preservation
• Natural Language Processing for Named Entity Recognition
• Machine Learning for Customer Churn Prediction
• Big Data Analytics for Social Network Analysis
• Cybersecurity for Intrusion Detection and Prevention
• Artificial Intelligence for Robotics and Automation
• Blockchain Technology for Digital Identity Management
• Virtual Reality for Rehabilitation and Therapy
• Natural Language Processing for Text Summarization
• Machine Learning for Credit Risk Assessment
• Big Data Analytics for Fraud Detection in Healthcare
• Cybersecurity for Internet Privacy Protection
• Artificial Intelligence for Game Design and Development
• Blockchain Technology for Decentralized Social Networks
• Virtual Reality for Marketing and Advertising
• Natural Language Processing for Opinion Mining
• Machine Learning for Anomaly Detection
• Big Data Analytics for Predictive Maintenance in Transportation
• Cybersecurity for Network Security Management
• Artificial Intelligence for Personalized News and Content Delivery
• Blockchain Technology for Cryptocurrency Mining
• Virtual Reality for Architectural Design and Visualization
• Natural Language Processing for Machine Translation
• Machine Learning for Automated Image Captioning
• Big Data Analytics for Stock Market Prediction
• Cybersecurity for Biometric Authentication Systems
• Artificial Intelligence for Human-Robot Interaction
• Blockchain Technology for Smart Grids
• Virtual Reality for Sports Training and Simulation
• Natural Language Processing for Question Answering Systems
• Machine Learning for Sentiment Analysis in Customer Feedback
• Big Data Analytics for Predictive Maintenance in Manufacturing
• Cybersecurity for Cloud-Based Systems
• Artificial Intelligence for Automated Journalism
• Blockchain Technology for Intellectual Property Management
• Virtual Reality for Therapy and Rehabilitation
• Natural Language Processing for Language Generation
• Machine Learning for Customer Lifetime Value Prediction
• Big Data Analytics for Predictive Maintenance in Energy Systems
• Cybersecurity for Secure Mobile Communication
• Artificial Intelligence for Emotion Recognition
• Blockchain Technology for Digital Asset Trading
• Virtual Reality for Automotive Design and Visualization
• Natural Language Processing for Semantic Web
• Machine Learning for Fraud Detection in Financial Transactions
• Big Data Analytics for Social Media Monitoring
• Cybersecurity for Cloud Storage and Sharing
• Artificial Intelligence for Personalized Education
• Blockchain Technology for Secure Online Voting Systems
• Virtual Reality for Cultural Tourism
• Natural Language Processing for Chatbot Communication
• Machine Learning for Medical Diagnosis and Treatment
• Big Data Analytics for Environmental Monitoring and Management.
• Cybersecurity for Cloud Computing Environments
• Virtual Reality for Training and Simulation
• Big Data Analytics for Sports Performance Analysis
• Cybersecurity for Internet of Things (IoT) Devices
• Artificial Intelligence for Traffic Management and Control
• Blockchain Technology for Smart Contracts
• Natural Language Processing for Document Summarization
• Machine Learning for Image and Video Recognition
• Blockchain Technology for Digital Asset Management
• Virtual Reality for Entertainment and Gaming
• Natural Language Processing for Opinion Mining in Online Reviews
• Machine Learning for Customer Relationship Management
• Big Data Analytics for Environmental Monitoring and Management
• Cybersecurity for Network Traffic Analysis and Monitoring
• Artificial Intelligence for Natural Language Generation
• Blockchain Technology for Supply Chain Transparency and Traceability
• Virtual Reality for Design and Visualization
• Natural Language Processing for Speech Recognition
• Machine Learning for Recommendation Systems
• Big Data Analytics for Customer Segmentation and Targeting
• Cybersecurity for Biometric Authentication
• Artificial Intelligence for Human-Computer Interaction
• Blockchain Technology for Decentralized Finance (DeFi)
• Virtual Reality for Tourism and Cultural Heritage
• Machine Learning for Cybersecurity Threat Detection and Prevention
• Big Data Analytics for Healthcare Cost Reduction
• Cybersecurity for Data Privacy and Protection
• Artificial Intelligence for Autonomous Vehicles
• Blockchain Technology for Cryptocurrency and Blockchain Security
• Virtual Reality for Real Estate Visualization
• Natural Language Processing for Question Answering
• Big Data Analytics for Financial Markets Prediction
• Cybersecurity for Cloud-Based Machine Learning Systems
• Artificial Intelligence for Personalized Advertising
• Blockchain Technology for Digital Identity Verification
• Virtual Reality for Cultural and Language Learning
• Natural Language Processing for Semantic Analysis
• Machine Learning for Business Forecasting
• Big Data Analytics for Social Media Marketing
• Artificial Intelligence for Content Generation
• Blockchain Technology for Smart Cities
• Virtual Reality for Historical Reconstruction
• Natural Language Processing for Knowledge Graph Construction
• Machine Learning for Speech Synthesis
• Big Data Analytics for Traffic Optimization
• Artificial Intelligence for Social Robotics
• Blockchain Technology for Healthcare Data Management
• Virtual Reality for Disaster Preparedness and Response
• Natural Language Processing for Multilingual Communication
• Machine Learning for Emotion Recognition
• Big Data Analytics for Human Resources Management
• Cybersecurity for Mobile App Security
• Artificial Intelligence for Financial Planning and Investment
• Blockchain Technology for Energy Management
• Virtual Reality for Cultural Preservation and Heritage.
• Big Data Analytics for Healthcare Management
• Cybersecurity in the Internet of Things (IoT)
• Artificial Intelligence for Predictive Maintenance
• Computational Biology for Drug Discovery
• Virtual Reality for Mental Health Treatment
• Machine Learning for Sentiment Analysis in Social Media
• Human-Computer Interaction for User Experience Design
• Cloud Computing for Disaster Recovery
• Quantum Computing for Cryptography
• Intelligent Transportation Systems for Smart Cities
• Cybersecurity for Autonomous Vehicles
• Artificial Intelligence for Fraud Detection in Financial Systems
• Social Network Analysis for Marketing Campaigns
• Cloud Computing for Video Game Streaming
• Machine Learning for Speech Recognition
• Augmented Reality for Architecture and Design
• Natural Language Processing for Customer Service Chatbots
• Machine Learning for Climate Change Prediction
• Big Data Analytics for Social Sciences
• Artificial Intelligence for Energy Management
• Virtual Reality for Tourism and Travel
• Cybersecurity for Smart Grids
• Machine Learning for Image Recognition
• Augmented Reality for Sports Training
• Natural Language Processing for Content Creation
• Cloud Computing for High-Performance Computing
• Artificial Intelligence for Personalized Medicine
• Virtual Reality for Architecture and Design
• Augmented Reality for Product Visualization
• Natural Language Processing for Language Translation
• Cybersecurity for Cloud Computing
• Artificial Intelligence for Supply Chain Optimization
• Blockchain Technology for Digital Voting Systems
• Virtual Reality for Job Training
• Augmented Reality for Retail Shopping
• Natural Language Processing for Sentiment Analysis in Customer Feedback
• Cloud Computing for Mobile Application Development
• Artificial Intelligence for Cybersecurity Threat Detection
• Blockchain Technology for Intellectual Property Protection
• Virtual Reality for Music Education
• Machine Learning for Financial Forecasting
• Augmented Reality for Medical Education
• Natural Language Processing for News Summarization
• Cybersecurity for Healthcare Data Protection
• Artificial Intelligence for Autonomous Robots
• Virtual Reality for Fitness and Health
• Machine Learning for Natural Language Understanding
• Augmented Reality for Museum Exhibits
• Natural Language Processing for Chatbot Personality Development
• Cloud Computing for Website Performance Optimization
• Artificial Intelligence for E-commerce Recommendation Systems
• Blockchain Technology for Supply Chain Traceability
• Virtual Reality for Military Training
• Augmented Reality for Advertising
• Natural Language Processing for Chatbot Conversation Management
• Cybersecurity for Cloud-Based Services
• Artificial Intelligence for Agricultural Management
• Blockchain Technology for Food Safety Assurance
• Virtual Reality for Historical Reenactments
• Machine Learning for Cybersecurity Incident Response.
• Secure Multiparty Computation
• Federated Learning
• Internet of Things Security
• Blockchain Scalability
• Quantum Computing Algorithms
• Explainable AI
• Data Privacy in the Age of Big Data
• Adversarial Machine Learning
• Deep Reinforcement Learning
• Online Learning and Streaming Algorithms
• Graph Neural Networks
• Automated Debugging and Fault Localization
• Mobile Application Development
• Software Engineering for Cloud Computing
• Cryptocurrency Security
• Edge Computing for Real-Time Applications
• Natural Language Generation
• Virtual and Augmented Reality
• Computational Biology and Bioinformatics
• Internet of Things Applications
• Robotics and Autonomous Systems
• Explainable Robotics
• 3D Printing and Additive Manufacturing
• Distributed Systems
• Parallel Computing
• Data Center Networking
• Data Mining and Knowledge Discovery
• Information Retrieval and Search Engines
• Network Security and Privacy
• Cloud Computing Security
• Data Analytics for Business Intelligence
• Neural Networks and Deep Learning
• Reinforcement Learning for Robotics
• Automated Planning and Scheduling
• Evolutionary Computation and Genetic Algorithms
• Formal Methods for Software Engineering
• Computational Complexity Theory
• Bio-inspired Computing
• Computer Vision for Object Recognition
• Automated Reasoning and Theorem Proving
• Natural Language Understanding
• Machine Learning for Healthcare
• Scalable Distributed Systems
• Sensor Networks and Internet of Things
• Smart Grids and Energy Systems
• Software Testing and Verification
• Web Application Security
• Wireless and Mobile Networks
• Computer Architecture and Hardware Design
• Digital Signal Processing
• Game Theory and Mechanism Design
• Multi-agent Systems
• Evolutionary Robotics
• Quantum Machine Learning
• Computational Social Science
• Explainable Recommender Systems.
• Artificial Intelligence and its applications
• Cloud computing and its benefits
• Cybersecurity threats and solutions
• Internet of Things and its impact on society
• Virtual and Augmented Reality and its uses
• Blockchain Technology and its potential in various industries
• Web Development and Design
• Digital Marketing and its effectiveness
• Big Data and Analytics
• Software Development Life Cycle
• Gaming Development and its growth
• Network Administration and Maintenance
• Machine Learning and its uses
• Data Warehousing and Mining
• Computer Architecture and Design
• Computer Graphics and Animation
• Quantum Computing and its potential
• Data Structures and Algorithms
• Computer Vision and Image Processing
• Robotics and its applications
• Operating Systems and its functions
• Information Theory and Coding
• Compiler Design and Optimization
• Computer Forensics and Cyber Crime Investigation
• Distributed Computing and its significance
• Artificial Neural Networks and Deep Learning
• Cloud Storage and Backup
• Programming Languages and their significance
• Computer Simulation and Modeling
• Computer Networks and its types
• Information Security and its types
• Computer-based Training and eLearning
• Medical Imaging and its uses
• Social Media Analysis and its applications
• Human Resource Information Systems
• Computer-Aided Design and Manufacturing
• Multimedia Systems and Applications
• Geographic Information Systems and its uses
• Computer-Assisted Language Learning
• Mobile Device Management and Security
• Data Compression and its types
• Knowledge Management Systems
• Text Mining and its uses
• Cyber Warfare and its consequences
• Wireless Networks and its advantages
• Computer Ethics and its importance
• Computational Linguistics and its applications
• Autonomous Systems and Robotics
• Information Visualization and its importance
• Geographic Information Retrieval and Mapping
• Business Intelligence and its benefits
• Digital Libraries and their significance
• Artificial Life and Evolutionary Computation
• Computer Music and its types
• Virtual Teams and Collaboration
• Computer Games and Learning
• Semantic Web and its applications
• Electronic Commerce and its advantages
• Multimedia Databases and their significance
• Computer Science Education and its importance
• Computer-Assisted Translation and Interpretation
• Ambient Intelligence and Smart Homes
• Autonomous Agents and Multi-Agent Systems.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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University of Chicago Computer Science Researchers To Present Ten Papers at CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems is a premier international conference where researchers and practitioners gather to discuss the latest research in human-computer interaction. Held annually, CHI brings together experts from academia and industry to present groundbreaking research, share insights, and explore future directions in the field.

This year’s conference, CHI 2024, will see a remarkable showcase of innovative research from students and faculty at the University of Chicago Department of Computer Science . Three papers, including one each from Associate Professor Blase Ur’s group, Associate Professor Pedro Lopes’ group, and Associate Professor Marshini Chetty’s group, received best paper awards. Another paper from Lopes’ group also received an honorable mention.

Some works, like papers featuring Neubauer Professor Nick Feamster and Associate Professor Marshini Chetty, are also collaborations with faculty from The Law School and the Harris School of Public Policy , highlighting the interdisciplinary work that often takes place in the department. Each paper span a diverse range of topics, including contextual notifications for highlighting fairness and bias in data science, in-depth studies of online content moderation policies, investigations into compliance with privacy regulations, AI for the well-being of workers, the introduction of a design space for writing assistants, groundbreaking advancements in haptic interfaces, and innovative approaches to promoting digital well-being through leveraging material receipts for screen-time reflection. The work reflects the department’s commitment to advancing knowledge and addressing real-world challenges in the realm of computing.

Bias In Data Science

Best Paper Award Harrison et al., 2024. JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists.

Although the paper has won an award, the team will be presenting the paper virtually at the conference, rather than traveling to Hawai’i, as a show of solidarity with the community’s protests over the conference’s impact on the local community.

Content Moderation

Schaffner et al., 2024. Community Guidelines Make This the Best Party on the Internet: An In-Depth Study of Online Platforms’ Content Moderation Policies.

Compliance and Privacy Regulations

Tran et al., 2024. Measuring Compliance with the California Consumer Privacy Act Over Space and Time.

AI and Worker’s Well-being

Best Paper Award Das Swain et al., 2024. Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers.

Design Space for Writing Assistants

Lee at el., 2024. A Design Space for Intelligent and Interactive Writing Assistants.

Pushing Boundaries in Haptic Interfaces

Best Paper Award Nith et al., 2024. SplitBody: Reducing Mental Workload while Multitasking via Muscle Stimulation.

Honorable Mention Tanaka et al., 2024. Haptic Source-effector: Full-body Haptics via Non-invasive Brain Stimulation.

Teng et al., 2024. Haptic Permeability: Adding Holes to Tactile Devices Improves Dexterity. Marzursky et al., 2024. Stick&Slip: Altering Fingerpad Friction via Liquid Coatings.

The Human-Computer Integration Lab (directed by Associate Professor Pedro Lopes ) makes a significant impact with not one, but four papers showcasing groundbreaking advancements in haptic interfaces:

Tangible Intervention for Digital Well-being

Sathya et al., 2024. Attention Receipts: Utilizing the Materiality of Receipts to Improve Screen-time Reflection on YouTube.

The University of Chicago Department of Computer Science continues to make significant contributions to the field of human-computer interaction, as evidenced by the diverse and impactful research that will be showcased at CHI 2024 in May. These researchers’ papers exemplify the department’s dedication to advancing knowledge, fostering innovation, and addressing pressing societal issues through computing research.

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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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Computer Science Student and Professor at University of Puget Sound Win Best Paper at Big Data Conference

Julia Kaeppel ’24 and Prof. David Chiu published their research on database cache management.

University of Puget Sound student Julia Kaeppel ’24 has always been interested in computer programming. As a kid, she was a member of her elementary school robotics team and got hooked on programming in middle school as a pathway toward making video games. Kaeppel’s lifelong interest in operating systems and programming later led to an exciting research opportunity at Puget Sound. As a rising junior, Kaeppel approached Professor of Computer Science David Chiu about the possibility of working on a summer research project He immediately had an idea for an impactful project they could tackle.

“I’ve been working on this database project for over a decade and I had an idea of where I wanted to go next with the research. It was just a matter of finding the right student because it required a unique skill set,” says Chiu. “That Julia is such a strong C programmer with the right skill set and an interest in operating systems and performance was pretty fortuitous.”

Databases often contain immense amounts of raw data. It takes a long time to search through all that data to find a given piece of information, so computers use caches to store previous results for reuse. Caches serve as shortcuts to get at relevant information quickly, but they have limited space. Chiu wanted to find the optimal sequence in which to dispatch the queries as well as the order in which to evict older cached results in an effort to improve query performance. That’s where Kaeppel’s research came in. With funding from a McCormick Summer Research grant, she was able to dive into the problem and spend 10 weeks trying to find a solution.

“Over the summer, we developed a couple of algorithms for reordering bitmap queries and we found that a lot of them didn’t work,” Kaeppel says. “However, we found that ordering queries by size from shortest to longest provided the greatest optimization. There’s an elegant simplicity to it.” 

The result is deceptively simple, but could be proven mathematically to maximize the number of times queries could be reused over time. Chiu and Kaeppel described their research in a paper that was accepted for publication at the 10th Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE) International Conference on Big Data Computing, Applications, and Technologies, where it won the award for best paper.

“This conference only accepts 25 to 30% of all papers submitted. So, to be accepted and then to win a best paper award is a major accomplishment,” Chiu says. “Julia isn’t a Ph.D. student. She’s an undergrad—and yet her work beat out every other paper at the conference. It’s unprecedented in my research group.” 

Kaeppel credits Professor Chiu’s mentorship for helping her develop the tools she needed to tackle the research project—and for opening her eyes to the possibility of doing more research after graduating from Puget Sound.

“It was a great experience and definitely broadened my horizons. Even if I don’t go into academic research, I could see myself pursuing a career working with algorithms and optimizations,” Kaeppel says.

“Julia was a joy to work with. She is dedicated and has an intuition on problem solving that makes her a very natural researcher,” Chiu adds. “When we got a result that didn’t look right, she knew where to dig for answers. That’s not something I would typically expect from an undergrad. Julia was already at that level—and that made all the difference in making this publication possible.”

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Computer Science > Machine Learning

Title: value augmented sampling for language model alignment and personalization.

Abstract: Aligning Large Language Models (LLMs) to cater to different human preferences, learning new skills, and unlearning harmful behavior is an important problem. Search-based methods, such as Best-of-N or Monte-Carlo Tree Search, are performant, but impractical for LLM adaptation due to their high inference cost. On the other hand, using Reinforcement Learning (RL) for adaptation is computationally efficient, but performs worse due to the optimization challenges in co-training the value function and the policy. We present a new framework for reward optimization, Value Augmented Sampling (VAS), that can maximize different reward functions using data sampled from only the initial, frozen LLM. VAS solves for the optimal reward-maximizing policy without co-training the policy and the value function, making the optimization stable, outperforming established baselines, such as PPO and DPO, on standard benchmarks, and achieving comparable results to Best-of-128 with lower inference cost. Unlike existing RL methods that require changing the weights of the LLM, VAS does not require access to the weights of the pre-trained LLM. Thus, it can even adapt LLMs (e.g., ChatGPT), which are available only as APIs. In addition, our algorithm unlocks the new capability of composing several rewards and controlling the extent of each one during deployment time, paving the road ahead for the future of aligned, personalized LLMs.

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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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