Graduate Programs

The Donald Bren School of Information and Computer Sciences (ICS) offers a broad range of research-oriented graduate programs that lead to the Master of Science (M.S.) or Doctor of Philosophy (Ph.D.) degree and prepare students for advanced research and teaching careers in academia and/or advanced research and development positions in industry and government. ICS also offers graduate professional master’s programs that prepare students for careers in industry.

For information about our graduate research and professional programs, please visit:

Research Programs

Doctor of Philosophy (Ph.D.)

Computational Science

Explore our Ph.D. programs

Master of Science (M.S.)

Explore our M.S. programs

Professional Programs

Master of Computer Science

Master of Data Science

Master of Embedded and Cyber-Physical Systems

Master of Human-Computer Interaction

Master of Software Engineering

Explore our professional programs

Compare Master's Programs

Student Spotlights

Upcoming Events

April25

Statistics Seminar Series

Statistical Network Analysis: Estimation and Inference

Ji Zhu

Professor, University of Michigan

4:00 PM

6011, Donald Bren Hall

Abstract: Recent advances in computing and measurement technologies have led to an explosion in the amount of data with network structures in a variety of…

April26

CS Seminar Series

Towards Computational Acoustic Cameras: Neural Deconvolution and Rendering for Synthetic Aperture Sonar

Suren Jayasuriya

Assistant Professor, Arizona State University

11:00 AM

6011, Donald Bren Hall

Abstract: Acoustic imaging leverages sound to form visual products with applications including biomedical ultrasound and sonar. In particular, synthetic aperture sonar (SAS) has been developed…

April26

Informatics Seminar Series

Toward Accessible and Disability Representative Gen AI

Cynthia Bennett

Senior Research Scientist, Google Research

2:00 PM

6011, Donald Bren Hall

Abstract: Generative (gen) AI, including large language models (LLMs) and text-to-image (T2I) models, has exploded in popularity over the past couple of years. It is…

May2

Statistics Seminar Series

Dynamic Treatment Effects: High-dimensional Inference Under Model Misspecification

Jelena Bradic

Professor, UC San Diego

4:00 PM

6011, Donald Bren Hall

Abstract: Estimating dynamic treatment effects is essential across various disciplines, offering nuanced insights into the time-dependent causal impact of interventions. However, this estimation presents challenges…

May3

Informatics Seminar Series

Informatics to Support Inclusive and Equitable Healthcare

Wanda Pratt, PhD

Professor, Information School and Adjunct Professor, Biomedical & Health Informatics, School of Medicine, University of Washington

2:00 PM

6011, Donald Bren Hall

Abstract: Many people face marginalization by today’s healthcare system or society at large, and those experiences often lead to healthcare inequities as well as poor…

May9

Statistics Seminar Series

Reinforcement Learning for Respondent-Driven Sampling

Eric Laber

Professor, Duke University

4:00 PM

6011, Donald Bren Hall

Abstract: Respondent-driven sampling (RDS) is a network-based sampling strategy used to study hidden populations for which no sampling frame is available. In each epoch of…

Doctor of Philosophy (Ph.D.)

Master of Science (M.S.)

Adelynn Paik Helps Diversify Data Science

Vanessa Klotzman Aims to Make an Impact

Persistence Pays Off for Ivan De Oliveira Nunes in Pursuing His Ph.D.

Statistical Network Analysis: Estimation and Inference

Towards Computational Acoustic Cameras: Neural Deconvolution and Rendering for Synthetic Aperture Sonar

Toward Accessible and Disability Representative Gen AI

Dynamic Treatment Effects: High-dimensional Inference Under Model Misspecification

Informatics to Support Inclusive and Equitable Healthcare

Reinforcement Learning for Respondent-Driven Sampling