Welcome to CSta

We combine Computer Science, Statistics, AI, 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] Tian Wang: Modeling of Complex Data (1/30/2026) - When: Friday, February 6, 3:00 PM Where: Tyler 055 Abstract In this talk, we will first discuss the proposed α-separability for functional data. Functional data consist of random samples observed over a continuum, such as curves over a time range. These data often exhibit two kinds of variation: amplitude variation in the vertical direction and […]
[Talk] Jiajun Tang: Network Goodness-of-Fit for the Block-Model Family (1/30/2026) - When: Wednesday, February 4, 10:00 AM Where: Tyler 053 Abstract The block-model family has four popular network models (SBM, DCBM, MMSBM, and DCMM). A fundamental problem is how well each of these models fits with real networks. We propose GoF-MSCORE as a new Goodness-of-Fit (GoF) metric for DCMM (the broadest one among the four), with […]
[Talk] Harini Suresh: From universal models to local agency: opportunities for more community-controlled AI (1/20/2026) - When: Friday, January 30, 3:00 PM Where: Tyler 055 Abstract As AI systems are increasingly introduced into our everyday lives and high-stakes domains, it’s critical that decisions around their use, design, and governance center the specific contexts and communities they affect. My research explores participatory approaches that support community control, domain specificity, and local agency […]