Data Science, MS
Class Profile
Our 2023-2024 cohort is comprised of 94 students. All students make a valuable contribution to our community through their unique backgrounds and expertise.
Class Composition
| Male | 70% |
| Female | 30% |
| Average Age | 26 |
| Age Range | 19-58 |
| International | 55% |
| Domestic or Permanent Resident | 45% |
| U.S. Minorities | 60% |
Countries Represented
- Canada
- China
- Colombia
- France
- Ghana
- Hong Kong
- India
- Mexico
- Nigeria
- Norway
- Pakistan
- Singapore
- South Korea
- Spain
- Taiwan
- Thailand
- Turkey
- USA
- Vietnam
Academic Background
| Average Undergraduate GPA | 3.41 |
| Students with an Advanced Degree (MA, MS, MBA, Other Graduate Degree) | 17% |
Undergraduate Majors
- Engineering: 19%
- Mathematics: 16%
- Statistics: 12%
- Data Science: 11%
- Life Sciences: 10%
- Social Sciences: 9%
- Business: 6%
- Computer Science: 6%
- Humanities: 4%
- Other (Health Sciences, Information Technology, Physics): 7%
Undergraduate Institutions Represented (Select List)
- Birla Institute of Technology and Science, Pilani
- Boston University
- Cal Poly San Luis Obispo
- Carnegie Mellon University
- Chulalongkorn University
- Cornell University
- Indian Institute of Technology Madras
- Koc University
- Rutgers University
- San Francisco State University
- St Lawrence University
- Universite Paris-Dauphine
- University of California, Berkeley
- University of California, Davis
- University of California, Los Angeles
- University of California, Santa Barbara
- University of Hong Kong
- University of Iowa
- University of San Francisco
- Universidad de las Americas Puebla
- University of Toronto
- Washington State University
Work Experience
| One Year or Less Work Experience | 25% |
| Average Prior Work Experience (Years) | 3.7 |
| Range (Years) | 0-25 |
Lucas de Oliveira ’22
I knew that I wanted to go back to school for data science, but wasn’t sure if I wanted to do grad school part time while I worked or if I should commit to doing it full time. USF seemed to be the best mixture of a rigorous program, great faculty, quick turnaround time, and location. I was also impressed this program had ethical considerations around data."