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

Rithmbhara Singh: Spatial and temporal modeling of single-cell gene expression using deep learning (10/3/2025) - When: Friday, October 17, 3:00 PM Where: Tyler 055 Abstract: Our current understanding of the regulation of cells is akin to solving a jigsaw puzzle. Many genomic factors governing cell development have been identified, resulting in vast data collection efforts. For example, obtaining single-cell-level spatial DNA organization or gene expression measurements at a continuous time […]
Daniel Votipka — Vulnerability Discovery for All: A Human-Centric Approach to Software Vulnerability Discovery (9/30/2025) - When: Friday, October 10, 3:00 PM Where: Tyler 055 Abstract: Software vulnerabilities persist as an important and costly challenge. Significant effort has been exerted toward automatic vulnerability discovery, but human intelligence generally remains required, and will remain necessary for the foreseeable future. Unfortunately, the pool of experts qualified to perform vulnerability discovery is small and […]
Tina-Marie Ranalli: An HCI approach to identifying ways to better design computing technologies to meet the unique needs of medieval research (9/26/2025) - When: Friday, October 3, 3:00 PM Where: Tyler 055 Abstract: Medievalists are scholars, within the larger discipline of the humanities, who specialize in studying various aspects of the Middle Ages, which roughly took place from the year 500 to 1500 C.E., though it varies from culture to culture. In this work, we use a human-computer […]