Computing for all

We combine Computer Science, Statistics, Data Science, and Cybersecurity to enhance multidisciplinary learning and research for undergrads and grads. Cross campus and industry collaborations involve faculty, students, scientists, artists, health care researchers, historians, and engineers.

Undergraduate & Graduate Courses

See our courses in Computer Science, Statistics, Data Science, and Cybersecurity ranging from computing foundations to theory and statistics to systems and artificial intelligence.

courses

Undergraduate Programs

Computer science is a vibrant and rapidly changing discipline. Our undergraduate curricula are aligned with the ACM & IEEE 2013 Curriculum Guidelines. Courses in machine learning, computer vision, and secure programming add to the core problem-solving expertise needed in diverse industrial settings. Experiential learning provides students a practical and rounded curriculum.

Hands at a keyboard with text on a screen

Graduate Programs

The department offers M.S. and Ph.D. degrees in Computer Science and Statistics, a graduate certificate in Cyber Security, and a PSM degree in Cyber Security. Our programs are committed to meeting the needs of both industry professionals and full-time graduate students. For selected full-time students, the department may offer teaching and research assistantships that pay a stipend and cover tuition, fees, and insurance.

Research

The Department of Computer Science and Statistics supports the work of scholars and students who are adept in taking an agile, interdisciplinary approach to solving problems. As our department encompasses both computer science and statistics, the areas of research specialization are wide-ranging.

International Computer Science Program student Richard Burke standing in front of the Brandenburg gate

International Program

Our research and academics help serve a global community. The Computer Science and Statistics Department collaborates with URI’s International Engineering Program (IEP) and the Department of Languages to offer the unique International Computer Science Program (ICSP).

Announcements

[Talk] Elizabeth Bersson: Feature aware covariance estimation, with application to mixtures of chemical exposures (11/5/2025) - When: Friday, November 14, 3:00 PM Where: Tyler 055 Abstract The motivation of this research is to improve inferences on the covariation in environmental exposures, motivated by data from a study of Toddlers Exposure to SVOCs in Indoor Environments (TESIE). The challenge is that the sample size is limited, so empirical covariance provides a poor […]
[Talk] Will Tomlinson: Providing Reproducible and Equitable AI Access in Academia (10/29/2025) - When: Friday, November 7, 3:00 PM Where: Tyler 055 Abstract: This presentation introduces Boston University’s Retrieval-Augmented Generation (RAG) Framework, an open-source, low-code platform developed by the Software & Application Innovation Lab (SAIL) to make large language model (LLM)–powered applications accessible, reproducible, and secure across academic environments. The framework can integrate seamlessly with university research computing […]
[Talk] Student seminar talks October 31, 2025 (10/24/2025) - When: Friday, October 31, 3:00 PM Where: Tyler 055 Arup Mazumder: Structured Noise in AMSR-E SST Fields and Its Impact on Their Deconvolution Abstract: AMSR-E sea surface temperature (SST) fields are significantly oversampled, with a footprint of approximately 45×65 km but gridded at 10×10 km resolution. This oversampling suggests that, with the aid of additional […]