The Bachelor of Science Degree
The B.S. degree has two tracks of emphasis. The track in Computer Science and Statistics (CS-STA track) and the track in Applied Mathematical Sciences (MTH-AMS track). Students in the CS-STA track learn statistical and machine learning methods in data science, acquiring computational skills in relevant programming languages for a data science career. A required capstone experience—an internship or research project with a faculty member—provides the kind of hands-on experience employers value. In the MTH-AMS track, students learn the mathematical constructs that make advanced data analysis possible. Students apply advanced mathematical concepts to solving data-driven problems and investigate the mathematical underpinnings of algorithms used in machine learning and other data science strategies.
Despite its rapid rise to prominence, data science remains a relatively young field with plenty of opportunities for people who can innovate by designing new algorithms or tweaking existing ones.
The Bachelor of Arts Degree
The BA is designed for students wishing to double major and apply data science in a domain or subject area. The domain areas could be a department in Arts and Sciences or a major from another college. Students wishing to primarily apply data science in a domain area should take the BA. Examples include biology, business, communication studies, political science, psychology, and finance.
Learning Outcomes
Curriculum Sheets
BA: Data Science
BS: Data Science
BS: Data Science – Applied Mathematical Sciences Track
BS: Data Science – Computer Science and Statistics Track
Major Entry Requirements
- Complete 24 units and have an overall minimum GPA of 2.00
- Complete MTH 131 or 141, MTH 215, and STA 409
- Earn at least a 2.00 cumulative GPA in all courses required for the major that have been completed at the time of transfer from University College
- Complete URI 101
Contact and Advising
Natallia Katenka
Associate Professor | Director of Data Science
nkatenka@uri.edu