There are no boundaries

You are not afraid to think outside your comfort zone and stick with a problem until you find a solution. We’ll help prepare you to be a collaborator, an algorithmic thinker, and a data-fluent innovator who will thrive in a rapidly changing field.

The Department of Computer Science and Statistics provides a supportive, well-integrated center of multidisciplinary learning and research. Our faculty integrate computer science, statistics, data science, and cybersecurity while reaching beyond departmental boundaries to collaborate with scientists, artists, health care researchers, historians, and engineers across the colleges at URI. Our students grow as professionals, scholars, and citizens because they receive a strong foundation and hands-on experience in the field.

Become a truly global professional

See the World
International Computer Science Program student, Richard Burke standing in front of the Brandenburg gate during his year abroad in Germany

Announcements and Jobs

  • ML Tlachac, Digital Mental Health Screening with Text Logs (9/26/2023) - When: Friday, September 29th, from 4:00 PM to 5:00 PM Where: ENGR 040 Who: ML Tlachac, Assistant Professor of Data Science at Bryant University Abstract: In this talk, ML Tlachac will provide an overview of digital mental health screening research with a focus on digital phenotyping data. The presentation will include insights into research involving […]
  • Lily Sisouvong, “Pair Programming with Random Partners” (7/31/2023) - CSC Thesis Defense When: Monday, July 31, 4:00 pm Tyler Hall Room 052 Pair programming is a technique within the computer science space in which two programmers are paired on one computer to solve a related programming task. This technique is often practiced in both the industry and the academic setting, as it has a […]
  • Basheer Qolomany, “The Role of Artificial Intelligence and Machine Learning in Complex Systems” (4/24/2023) - When: Friday, April 28, 2:00 PM Where: CBLS 100 Who: Basheer Qolomany, University of Nebraska at Kearney The Role of Artificial Intelligence and Machine Learning in Complex Systems Abstract: Current methods for diagnosing PAD require specialized vascular laboratory tests and do not allow natural environment detection, monitoring, or management of chronic PAD disease. The research […]