Get a head start on university computer science concepts
Advance your skills in programming and data analysis
As of 4/6/2022, the Computer Science Summer Institute is closed to new applicants.
The Computer Science Intermediate Track provides a unique combination of coding boot camp, and lab touring experiences, as well as UCLA coursework covering critical concepts and skills in computer programming related to statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, health data, geographical data, and social networks.
Computer science experience with basic programming skills (python) is required. Knowledge in basic matrix analysis, probability, and statistics is preferred.
Computer Science Summer Institute – Intermediate Track
The fundamental question this course aims to address is how does one analyze real-world data so as to understand the corresponding phenomenon. Students will learn critical concepts and skills in computer programming related to statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, health data, geographical data, and social networks. Planned topics include machine learning, data analytics, and statistical modeling classically employed for prediction. The program will be a blend of theoretical and practical instruction, providing a comprehensive, hands-on overview of the Data Science domain.
Hands-on projects will form the bulk of the work for the class and will seek to teach students the data science lifecycle: data selection and cleaning, feature engineering, model selection, and prediction methodologies.
This program has application requirements for admission. Eligible applicants who submit all requirements successfully will be reviewed and notified via email of an admission decision within 3 weeks. Early application is strongly encouraged.
Applicants are required to provide answers to the following during the online registration process:
- Do you have any experience related to data science?
- What has motivated you to apply to the CSSI intermediate track?
- What do you expect to learn from the CSSI intermediate track?
- Are you comfortable with programming in python?
- Please list any advanced math courses you have taken. Are you comfortable with math concepts such as function, gradient/derivative, vector and matrix, probability, mean, and variance?
- This is a college-level course and thus very intense and challenging. Our instructor and learning assistants will help you through the whole process. Do you consent to (1) actively participate in classes, discussion sessions, and seminars, (2) communicate timely with our instructor and learning assistants for any questions and difficulties, and (3) befriend and learn from your peers?
Please also be prepared to upload an updated school transcript after completing registration.
UCLA Summer Sessions Summer Scholars Support
Qualified students attending grades 8th – 11th in Spring 2022 in the state of California may be eligible for Summer Scholars Support, a need- and merit-based scholarship offered by the UCLA Summer Sessions Office. A limited number of full and partial scholarships are available to support enrollment in SCIP/eSCIP, one Summer Course, or a Precollege Summer Institute.
Summer 2022 deadline to apply: April 1.
Computer Science Summer Institute (CSSI) Diversity Scholarship
The Computer Science Summer Institute’s Diversity Scholarship’s mission is to support students with strong academic performance and significant contributions to diversity and inclusion.
To apply, you must first apply to the Computer Science Summer Institute. Then, please provide a response to each of the three prompts below:
1) Describe specific experiences or circumstances in your life that give you a particular appreciation for issues of diversity and inclusion.
2) Describe what you have done to make your school or your community a better place.
3) Describe why receiving the diversity scholarship is important to you. (We will prioritize students with financial needs.)
Please email your essay responses to UCLA_CSSI@googlegroups.com with the subject line “UCLA CSSI Diversity Scholarship: Applicant Full Name”. You may ask your teacher or counselor to email an optional letter of recommendation to the same email address with the subject line “Letter for UCLA CSSI Diversity Scholarship: Applicant Full Name”.
The deadline for all applications is April 10, 2022. Optional letters of recommendation must be emailed no later than April 15th, 2022. Scholarship recipients will be notified on April 30, 2022.
Students will receive a letter grade upon completion. See University Credit, Grades and Transcripts for more information about academic credit
Program Dates: June 26, 2023 – July 14, 2023
Program Type: Admission based / In-person
Program Eligibility: 10th-12th grade in Spring 2023
UCLA Coursework: Computer Science 97; 4 units
The schedule and syllabus are subject to change.
Fees and Payment Info
The program fee includes the unit fees for the UCLA coursework offered as part of the program and thus varies by UC student status. In addition to the program fee, students are assessed other campus and administrative fees during the summer. This is a summary of fees that commonly apply to the selected student type.
Actual tuition and fees are subject to change by the University of California. Visit the fees, payment, and financial aid section for important disclaimer, as well as more details on fees, payment instructions, and information on delinquency, refunds, and financial aid.
| Program Fee | TBD |
| Registration Fee | $350 |
| IEI Fee | $61 |
| Document Fee (for first-time Summer Sessions students) | $50 |
Meet your instructors
Yizhou Sun
Associate ProfessorYizhou Sun is an associate professor at the department of computer science at UCLA. She received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2012. Her principal research interest is on mining graphs/networks, and more generally in data mining, machine learning, and network science, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications. She is a pioneer researcher in mining heterogeneous information network, with a recent focus on deep learning on graphs/networks.
Yizhou has over 100 publications in books, journals, and major conferences. Tutorials of her research have been given in many premier conferences. She received 2012 ACM SIGKDD Best Student Paper Award, 2013 ACM SIGKDD Doctoral Dissertation Award, 2020 ACM BCB Best Student Paper Award, 2013 Yahoo ACE (Academic Career Enhancement) Award, 2015 NSF CAREER Award, 2016 CS@ILLINOIS Distinguished Educator Award, 2018 Amazon Research Award, and 2019 Okawa Foundation Research Grant.
Advisory Board
Todd Millstein
Professor and Department ChairTodd Millstein joined the UCLA faculty in November 2003 and is an Amazon Scholar. During his time at UCLA, Todd has also been a Co-Founder and Chief Scientist of Intentionet (team now at AWS), a Visiting Fellow at Princeton, a Visiting Researcher at Microsoft Research, and an Academic Visitor at Oxford. He received my Ph.D. from the University of Washington Department of Computer Science, where he was a member of the Cecil group led by Craig Chambers. Before that, Todd was an undergraduate at Brown University, where he was advised by Paris Kanellakis and Pascal Van Hentenryck. Todd grew up in suburban Maryland, outside of Washington D.C.
Todd’s honors and awards include an NSF CAREER Award, a Most Influential PLDI Paper Award, an IEEE Micro Top Picks selection, the Northrop Grumman Excellence in Teaching Award from UCLA Engineering, best-paper awards from PLDI, OOPSLA, and SIGCOMM, a Microsoft Research Outstanding Collaborator Award, an Okawa Foundation Research Grant, an IBM Faculty Award, and a Facebook Research Award.
Eli Gafni
ProfessorDr. Gafni was born in Tel-Aviv, Israel. He received his Bs.C from the Technion, Israel in 1972, and M.S. and Ph.D. in Electrical Engineering in 1979 and 1982, from the University of Illinois at Urbana Champaign, and M.I.T, respectively. In 1982 he joined the UCLA computer science faculty. Dr. Gafni was the recipient of a 1983 IBM Faculty Development Award, and a 1984 NSF Presidential Young Investigator Award. His research interests include distributed algorithms, mathematical programming with application to distributed routing and control of data networks, and computer science theory.
Richard Korf
ProfessorRichard Korf is a Professor of computer science at UCLA. He received his B.S. from M.I.T. in 1977, and his M.S. and Ph.D. from Carnegie-Mellon University in 1980 and 1983, respectively, all in computer science. From 1983 to 1985, he served as Herbert M. Singer Assistant Professor of Computer Science at Columbia University. His research is in the areas of problem-solving, heuristic search, and planning in artificial intelligence. He is the author of “Learning to Solve Problems by Searching for Macro-Operators” (Pitman, 1985).
He serves on the editorial boards of Artificial Intelligence, and the Journal of Applied Intelligence. Dr. Korf is the recipient of a 1985 IBM Faculty Development Award, a 1986 NSF Presidential Young Investigator Award, the first UCLA Computer Science Department Distinguished Teaching Award in 1989, the first UCLA School of Engineering Student’s Choice Award for Excellence in Teaching in 1996, and the Lockheed Martin Excellence in Teaching Award in 2005. He is a Fellow of the American Association for Artificial Intelligence.
Computer Science Summer Institute – Intermediate Track FAQ
Computer science experience with basic programming skills (python) is required. Knowledge in basic matrix analysis, probability, and statistics is preferred.
Given the rigorous nature of the program, exceptions to the eligibility requirements will not be considered. Prospective applicants are welcome to consider the Introductory Track.
Students are required to supply their own laptop.
Still have questions? Check out the general Summer Institutes FAQ.