Data Science & Artificial Intelligence, MS
Class Profile
Our 2026-2027 cohort is comprised of 74 students. All students make a valuable contribution to our community through their unique backgrounds and expertise.
Class Composition
| Male | 65% |
| Female | 35% |
| Average Age | 27 |
| Age Range | 21-56 |
| International | 31% |
| Domestic or Permanent Resident | 69% |
| U.S. Minorities | 66% |
Countries Represented
- Canada
- China
- Colombia
- India
- Kenya
- Morocco
- Nepal
- Pakistan
- Philippines
- South Korea
- Taiwan
- USA
Academic Background
| Average Undergraduate GPA | 3.3 |
| Students with an Advanced Degree (MA, MS, MBA, Other Graduate Degree) | 14% |
Undergraduate Majors
- Computer Science 23%
- Business 11%
- Humanities 9%
- Engineering 8%
- Data Science7%
- Economics 7%
- Life Sciences 7%
- Math 7%
- Statistics 7%
- Social Sciences 4%
- Accounting & Finance 3%
- Other (IT, Health Services, Physics, Kinesiology, Gastronomy) 7%
Undergraduate Institutions Represented (Select List)
- African Leadership University
- Georgia State University
- Lanzhou University
- Northeastern University
- Politecnico di Torino
- Purdue University
- San Francisco State University
- Santa Clara University
- Sookmyung Women’s University
- United States Naval Academy
- University of California Berkeley
- University of California Santa Barbara
- University of California Santa Cruz
- University of Delhi
- University of San Francisco
- University of Southern California
- University of Waterloo
- Virginia Polytech
Work Experience
| One Year or Less Work Experience | 47% |
| Average Prior Work Experience (Years) | 3.2 |
| Range (Years) | 0-27 |
Abdullah Bera Kucuk ‘25
Data Scientist, Aware Health
The MS-DSAI program significantly increased my proficiency as a data scientist, and helped me build connections with leading experts in the field. It was a great opportunity to strengthen my understanding of data science fundamentals while also staying up to date with the latest advancements.
Abdullah Bera Kucuk ‘25
Data Scientist, Aware Health