Capstone Projects

The capstone project experience.

In the final two quarters of the program, students gain real world experience working in small groups on a data science challenge facing a company or not-for-profit. At the conclusion of the capstone project, sponsoring organizations are invited to attend a formal Capstone Event where students showcase their work. Capstone projects typically span a wide range of interests, including energy, agriculture, retail, urban planning, healthcare, marketing, and education.

Examples of Previous Capstone Sponsors

Capstone 2020-22 Archives (Gather.Town)

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Due to the pandemic, our Capstone 2021 was held entirely online in the Gather.Town platform , to which we added galleries of our 2020 and 2022 Capstone projects for an archive you can digitally wander and browse.

Gather presents a map-based, interactive platform where you can wander among projects, see media like posters, infographics, and video, and do video/audio chat with others who are logged into the space. You can read some basics about using this platform at the Gather site. One of the other benefits of Gather is that it created a persistent archive of our Capstone 2020-2022 projects, which you can view and digitally wander among here:

Other examples of past projects.

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Visualizing Gentrification in Seattle

MSDS students Deepa Agrawal, Angel Wang, and Erin Orbits created an interactive mapping tool to visualize gentrification in Seattle.

Sponsor: Urban Planning, University of Washington

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Using Artificial Intelligence to Monitor Inventory in Real Time

Capstone researchers Havan Agrawal, Toan Luong, Vishnu Nandakumar, and Tejas Hosangadi explored new methods for optimizing supply chains and product placements to improve sales.

Sponsor: Clobotics

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Predicting Soil Moisture with Machine Learning

MSDS students Samir Patel, Rex Thompson, Michael Grant, and Dane Jordan developed machine learning models to accurately estimate soil moisture using satellite imagery.

Sponsor: Civil & Environmental Engineering, Washington State University

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The School of Information is UC Berkeley’s newest professional school. Located in the center of campus, the I School is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy.

The School of Information offers four degrees:

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world.

The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS degree for Cal undergraduates.

The Master of Information and Cybersecurity (MICS) is an online degree preparing cybersecurity leaders for complex cybersecurity challenges.

Our Ph.D. in Information Science is a research program for next-generation scholars of the information age.

The School of Information's courses bridge the disciplines of information and computer science, design, social sciences, management, law, and policy. We welcome interest in our graduate-level Information classes from current UC Berkeley graduate and undergraduate students and community members.  More information about signing up for classes.

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Research by faculty members and doctoral students keeps the I School on the vanguard of contemporary information needs and solutions.

The I School is also home to several active centers and labs, including the Center for Long-Term Cybersecurity (CLTC) , the Center for Technology, Society & Policy , and the BioSENSE Lab .

I School graduate students and alumni have expertise in data science, user experience design & research, product management, engineering, information policy, cybersecurity, and more — learn more about hiring I School students and alumni .

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On May 15, 2023, the School of Information welcomed 350 of 608 total graduating students to the UC Berkeley...

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The School of Information’s May 2023 Commencement presented an opportunity to honor faculty and student achievements...

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A group of researchers, including the I School’s own Professor Kimiko Ryokai, recently received a grant of $1....

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Ken-ichi Ueda gave the keynote speech at the UC Berkeley School of Information May 2023 Commencement.


Data Science Spring 2022 Capstone Project Showcase

Capstone projects are the culmination of the MIDS students’ work in the School of Information’s Master of Information and Data Science program.

Over the course of their final semester, teams of students propose and select project ideas, conduct and communicate their work, receive and provide feedback, and deliver compelling presentations along with a web-based final deliverable.

Join us for an online presentation of these capstone projects. Each team will present for twenty minutes, including Q&A.

A panel of judges will select an outstanding project for the Hal R. Varian MIDS Capstone Award . Awards will be announced during commencement on May 16 .

Join the online showcase

If this is your first time using Zoom, please allow a few extra minutes to download and install the browser plugin or mobile app.

Mike Frazzini is currently the chief of data science and data insight products at, a company that specializes in innovation products and services for large enterprises. Prior to joining Iterate, Mike was CTO of, where he and his teams built highly innovative and world-class e-commerce platforms and back-office applications to power 34% CAGR between 2000 and 2008 and sales over $100 million and continued double-digit growth and profitability in the following decade. Mike was previously program manager for Kenan Systems (acquired by Lucent in 1999 for $1.5 billion) and held a management role in the IT assurance and advisory group at PwC (formerly Coopers & Lybrand). Mike has a master’s in information and data science from the UC Berkeley School of Information. While there, his team won the prestigious Hal R. Varian Capstone Award. The team built Soundflux, a working prototype for sound-based fall detection with a highly accurate deep-learning model deployed on-device for privacy.

Daniel Gillick is a research scientist at Google where his work focuses on natural language processing and machine intelligence. Dan is also an adjunct assistant professor at the UC Berkeley School of Information. He is course lead and developer for both applied machine learning and natural language processing with deep learning courses in the I School’s data science program.

Maya Miller-Vadem , MIDS ’18, is a math enthusiast, former educator, and team leader. She is currently a senior data scientist at Microsoft D365 Connected Reality. Her early career experiences in K–12 schools gave birth to a lifelong fascination with the interaction between data systems, tacit knowledge, and institutional wisdom — how do the processes with which we create, store, consume numerical information affect the way we think and act? In 2015 this fascination led her to the UC Berkeley Master of Information and Data Science program and a career shift. Since then, as a data scientist and product manager at Microsoft she has worked on business intelligence, ML feature development, and Responsible AI. Maya currently leads a small R&D incubation team for mixed reality, computer vision, and machine learning systems that leverage human expertise in manufacturing and retail. Outside of work you’ll find her trying to decipher the handwriting in her grandmother’s cookbook or tutoring friends’ kids in algebra.

David Reiley is a distinguished scientist in the advertising science group at SiriusXM Pandora and an adjunct professor at the UC Berkeley School of Information, where he teaches a course on field experiments in the data science program. He previously spent more than seven years at Google and Yahoo! Research, primarily working on experiments to measure the effects of online advertising. He started his career as an economics professor at Vanderbilt University and at the University of Arizona.

Ali Vanderveld is a senior staff data scientist at Wayfair, where she serves as a technical leader for machine learning, currently leading the development of novel search and recommendation technologies. Prior to Wayfair, she led a team focused on language AI at Amazon Web Services and was the director of data science at ShopRunner. She has also worked at Civis Analytics, at Groupon, and as a technical mentor for the Data Science for Social Good Fellowship. Ali has a Ph.D. in theoretical astrophysics from Cornell University and got her start working as an academic researcher at Caltech, the NASA Jet Propulsion Laboratory, and the University of Chicago, working on the development teams for several space telescope missions, including ESA’s Euclid.

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Spring 2022 MIDS Project Descriptions

If you have questions about this event, please contact the Student Affairs team at [email protected] .

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Computer Science Capstone Project Ideas

Capstone Project Ideas Computer Science

Without relevant skills, success in today’s workplace becomes less likely. Your  capstone project  is an opportunity to boost your skills. Your final capstone might be a two-semester project, but it can significantly affect your life in ways hadn’t likely imagined. A capstone project attempts to solve a real-world problem. Take it seriously. Your capstone experience can help you make important professional connections. ivermectina 6 mg comprar online Don’t take it lightly.

Choosing the Right Topic Can be Hard

Choosing a researchable topic is one of the hardest parts of completing your senior capstone writing project. We’ll offer you a list of  capstone ideas  to get you started. You should submit a well-written paper that demonstrates your in-depth understanding of the topic you’ve chosen.

Ideas to Inspire You

Most computer science students tell us that getting started on their capstone project is the hardest part. They suspect the difficulties arise as a result of having too much topic choice. sheep ivermectin Other times, they choose topics that are too broad. In the end, such students end up using a little computer science writing help from us.

We’ll always gladly assist you in selecting a suitable topic. However, we’d love it if you could learn to choose the right topic. Our advice is simple. Continue your search until you get a topic that focuses your knowledge into a practical solution for a real problem.

That’s the only way you can hammer out a paper that gets you noticed. It’s the only way to earn a grade that shines. ivermectin albendazole lyme scott The following is a list of viable computer science capstone project ideas.  The list’s purpose is to fire up your imagination and creativity.

Computer Science Capstone Project Ideas:

Cloud Computing: Emerging Safety Issues Artificial Intelligence: Applications and Techniques Analyzing Cyber Crimes Automated System for Company Payroll Creating an Insurance Application and Registration Software How to Design an Automated Report Aid How to Create an Intelligent Online Survey System Algorithmic Analysis: The Role of Game Theory How to Create an Online Learning System Designing a System for Recording and Analyzing Client Data Smartphone Interface: Management Systems and e-medical Records How to Recover Lost Data Effectively and Fast Wearable Technology: Smart Fitness Devices Editing Solution: Application for Detecting Grammatical and spelling errors Medication Tracking Application A multimedia Website for Researchers Designing an e-commerce Website for a Content-creation Company Creating a Customizable Business Information System for Use in the Retail Industry Automating Market-based Analysis Developing a Modeling System for Estate Valuation Designing a Budget Preparation System for Small Business Owners A Mobile Application for Dating Designing a Software Application to Ease Online Research Developing Neural Networks for Stock Prediction Creating a Computerized Examination System for Human Resource Management Designing an integrated wildlife management system Addictive Software Applications: A survey Developing a Music Learning Software Fast Language Learning: A Mobile Application Affordable Customer Tracking Device Machine Scheduling Game Theory Technology and Security for Cloud Computing Communication Application for Tenants and Landlords Stop Missing the Bus: A Mobile Application An application Guiding visitors to Exciting Activities and Places to visit in an Area Mobile Application for Managing Personal Goals A Real-time Mobile Application for Car Sharing Designing a graphical hotel reservation system Cloud Computing: Agriculture Updates by SMS Application for Brand Recognition Mobile Application for Grocery Delivery Learning English Fast: A Mobile Application that Makes it Possible

See Also:  Capstone Project Ideas Engineering

That was quite lengthy. But we believe it did get your creative juice running fast. We didn’t describe any of these ideas, nor did we need to. They’re just topic ideas, after all. We compiled this list hoping it would help you to identify a specific problem you would study or resolve. What other computer science senior capstone ideas do you have?

Related Articles:  How to Write a Capstone Project

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Master of Science in Analytics

  • Capstone Projects

As a culminating experience, Master of Science in Analytics (MScA) students put into practice the knowledge and skills they have learned during their coursework by completing a capstone project. The project is a degree requirement and is completed during the last two quarters of their program. It provides students and project sponsors the opportunity to develop and implement a data science solution to address problems the organization is trying to solve, enhance their analytics capabilities, and explore potential employment partnerships. There is no cost associated with sponsoring a project.

The project spans two 10-week quarters. Students may begin their Capstone experience in any quarter, with most students starting in the Spring quarter. The expectation is that students will work in teams of four.

MScA Capstone Project Learning Objectives

  • Develop the ability to design an analytics research project
  • Frame a business problem in a way that can be addressed using data science
  • Identify the analytics tool or algorithm that will address this problem
  • Develop a methodological framework to produce a practical solution
  • Implement the analytics methodology
  • Communicate the findings of the research effectively in both written and oral presentations

Capstone Sponsor Incentives

  • Derive benefits from a unique capstone process for data science
  • Your business problems will be addressed by student teams trained to generate not just actionable insights from data, but to provide business value 
  • Get access to a symbiotic pool of top student talent with world class teachers and researchers
  • Talent growth and acquisition opportunities for your businesses

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Interested in Sponsoring a Capstone Project?

Get in touch with us to submit your idea for a collaboration or ask us questions about how the partnership process works.

Selected Capstone Projects

Copd readmission and cost reduction assessment.

UChicago Analytics students built data models and evaluated them across different frameworks. They determined that the resulting model is capable of rank-ordering readmission risk and allowing for flexibility in applying interventions to prevent readmission.

An NFL Ticket Pricing Study: Optimizing Revenue Using Variable And Dynamic Pricing Methods

UChicago Analytics students found a way for an NFL team to implement ticket pricing that responds to changing factors and gives the team the chance to fill more seats.

Using Image Recognition To Identify Yoga Poses

Master of Science in Analytics students built an app that uses a one-step neural network to examine images of yoga poses and recognize the poses in order to provide feedback to the app's yoga-practicing user.

Using Image Recognition to Measure the Speed of a Pitch

One capstone team developed an app that applied image recognition algorithms to measure the speed of a pitched baseball. Their app captured video, isolated the pitched ball, calculated the velocity of the pitch, and displayed this measurement so that users would be able to measure the speed of a pitch with their smartphones.

Real-Time Credit Card Fraud Detection

Credit card fraud puts consumers' identities at risk while credit card providers are forced to cover fraudulent charges. A team of analytics students carefully studied this problem: they created synthetic data that represented a large population of credit card users and were able to build a model that catches credit card fraud in real time.

Interested in Becoming an Industry Research Partner?

Get in touch with us to submit your idea for a collaboration or ask us questions about how the partnership process works.

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Solve real-world data science problems.

Students in the online Master of Data Science program receive a unique opportunity to apply new skills to real-world problems in the DSCI 535 Capstone project. As an interdisciplinary project, you will work in a team with other students on data science and computation projects sponsored by organizational partners across various industries and disciplines.

The online data science capstone project is designed to help you gain valuable practice and experience working in collaboration with other students and industry partners in an area of interest. At the completion of the project, you’ll have a data science project you can add to your portfolio.



Data to knowledge (d2k) lab.

You’ll complete your interdisciplinary online data science capstone project in the Rice Data to Knowledge (D2K) Lab. The D2K Lab brings students, faculty, and industry partners together to work on important data science projects that allow you to showcase your knowledge, creativity, and technical expertise. The D2K Lab offers students the opportunity for research, mentoring, and connection and the invaluable benefit of learning by doing.

Curiosity-Driven Research Projects

Your online data science capstone project helps you explore challenges or subjects that interest you, including business analytics, machine learning, or image processing. With your capstone project in your professional portfolio, you’ll be able to launch your career with the practical experience that sets you apart from other job seekers and candidates.

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Immersive, Experiential Learning

Integrate your data science skills with real-world challenges to develop action-oriented solutions that demonstrate your expertise and technical ability. Your online data science capstone project will allow you to demonstrate your capacity to problem solve with data, work collegially with companies, organizations and researchers, and professionally communicate those results.

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Partnerships With Industry Leaders

The online data science capstone project not only helps you demonstrate your expertise, but it also delivers exposure to practitioners who offer valuable insight into the professional world. You’ll have the opportunity to partner with businesses, government organizations, non-profits, and more to investigate data sets with the intention to transform that data into actionable insight.

retail data science capstone project

Access to Real, Complex Datasets

Your online data science capstone project will be substantive and meaningful. By working with a specific data-driven company or agency, you’ll have access to important and complex information that requires the practical application of data science to solve an industry-relevant challenge.

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World-Class Faculty

Associate Professor Genevera Allen, Founder and Faculty Director of the D2K Lab, teaches the capstone project. She is among the many expert faculty members you have access to in the [email protected] online program.

She works closely with departments and programs to solicit and frame a wide variety of client-sponsored data science projects that will make a positive difference in the community.

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Send us your information and a Rice Enrollment Coach will follow up with you.

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    A deep-dive into my experience joining a Data Science Bootcamp and building a Restaurant Recommendation System for my Capstone Project

  2. Data Science Spring 2022 Capstone Project Showcase

    A panel of judges will select an outstanding project for the Hal R. Varian MIDS Capstone Award. Capstone projects are the culmination of the MIDS students' work in the School of Information's Master of Information and Data Science program

  3. Capstone Project Writing

    Most computer science students tell us that getting started on their capstone project is the hardest part. They suspect the difficulties arise as a result of having too much topic choice

  4. Data Science Capstone Project

    The data science capstone project is designed for students to gain invaluable experience by applying data-driven solutions to analytics-related problems

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    Engage with large, complex datasets to solve real-world problems through the Online [email protected] interdisciplinary capstone program

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    This article focuses on writing a data science capstone piece and advises on the best ways of doing the task. We share the topic suggestions and practical writing tips for this paper

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    The capstone project has been designed to apply knowledge into practice and to develop and improve critical skills such as problem-solving and collaboration skills. Capstone projects aim to give students some