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Elevate your computer science career

Empowering digital transformation

The Master of Computer Science (MCS) program is a 15-month professionally oriented degree that combines theory and practical learning, emphasizing real-world application, development and collaboration. The program requires the completion of 52 units which include core courses, elective courses, and project-based courses.

Currently, MCS offers a full-time option only.

Industry-aligned curriculum

Our cutting-edge program, developed by top academics and industry experts, integrates modern theory with essential, hands-on skills. You'll graduate equipped with the expertise employers value most.

Collaborate with Industry Partners

The Capstone Project offers students the opportunity to work alongside industry partners to solve actual business challenges, presenting opportunities for you to apply your knowledge and skills to create impactful, data-driven outcomes.

Beyond the classroom

Benefit from personalized academic advising and career development through tailored workshops, coaching sessions, and networking events to accelerate your professional growth and enhance your marketability.

Who should apply?

Tech professionals: Take your skills to the next level and unlock leadership opportunities with advanced computer science knowledge.

Recent graduates: Jump-start your career with a program designed to bridge the gap between theory and real-world application.

Career changers: Leverage your existing tech experience and propel your career forward.

All applicants must have a bachelor’s degree (any field) and should have proficiency in at least two programming languages.

Discover the MCS advantage

University of California, Irvine (UCI) - Master of Computer Science Program

“It teaches you not only the technical skills, but also the communication skills that will help succeed.” – Raj Sanghavi, Alumni

Ready to take the next steps?

Now accepting applications for Fall 2025. Sign up now to receive the latest information regarding how to apply, financial aid opportunities, networking events, and more.

Upcoming events

April19

Admitted Student Event

Celebrate UCI 2025

Aldrich Park

9:00 AM

Aldrich Park

Join us in Aldrich Park for the Campus Orgs Fair at Celebrate UCI on Saturday, April 19, 2025! Enjoy a fun-filled festival in the heart of campus, meet current and new students, take a campus tour, and get to know your new home.

April21

AI/ML Seminar Series

Fast and Flexible Generative Modeling with Free-Form Flows

Felix Draxler

Postdoctoral Researcher, Department of Computer Science, University of California, Irvine

1:00 PM

4011, Donald Bren Hall

Abstract: Generative models have achieved remarkable quality and success in a variety of machine learning applications, promising to become the standard paradigm for regression. However,…

April22

Fundraising Event

Giving Day 2025

givingday.uci.edu

8:00 AM

UCI’s Giving Day provide much-needed support for ICS undergraduate and graduate students and their amazing cutting-edge research, but it’s also about investing in the future workforce. With your help, ICS students can and will remain at the forefront of computer science, informatics and statistics, ensuring no student is left behind.

April24

Statistics Seminar Series

Covariate Adjusted Response Adaptive Design with Delayed Outcomes

Jingshen Wang

Assistant Professor, Biostatistics UC Berkeley

4:00 PM

6011, Donald Bren Hall

Abstract: Covariate-adjusted response adaptive (CARA) designs have gained widespread adoption for their clear benefits in enhancing experimental efficiency and participant welfare. These designs dynamically adjust…

April25

Informatics Seminar Series

Between Model and World: Trust, Transparency, and Theory of Mind in AI Systems

Beth Coleman

Associate Professor of Data & Cities at the Institute of Communication, Culture, Information and Technology and Faculty of Information, University of Toronto

2:00 PM

6011, Donald Bren Hall

Abstract: This talk works through a disciplinary survey of what constitutes trust and trustworthiness in human-machine learning interaction. In positing a framing of “trust,” the…