Data Science, MS
Class Profile
Our 2022-2023 cohort is comprised of 84 students. All students make a valuable contribution to our community through their unique backgrounds and expertise.
Class Composition
| Male | 73% |
| Female | 27% |
| Average Age | 26 |
| Age Range | 21-43 |
| International | 76% |
| Domestic or Permanent Resident | 24% |
| U.S. Minorities | 65% |
Countries Represented
- Canada
- China
- Colombia
- Hong Kong
- India
- Malaysia
- Singapore
- South Korea
- Taiwan
- Turkey
- UK
- USA
- Vietnam
Academic Background
| Median Undergraduate GPA | 3.3 |
| Students with an Advanced Degree (MA, MS, MBA, Other Graduate Degree) | 21% |
Undergraduate Majors
- Engineering: 29%
- Computer Science: 17%
- Economics: 10%
- Mathematics: 10%
- Statistics: 10%
- Information Technology: 6%
- Other (e.g., Business, Finance, English, Biology, Physics): 18%
Undergraduate Institutions Represented (Select List)
- Arizona State University
- Birla Institute of Technology and Science, Pilani
- Cornell University
- Delhi Technological University
- Georgia Institute Technology
- Hofstra University
- Indian Institute of Technology Bombay
- Loyola Marymount University
- Manipal Institute of Technology
- Nanyang Technological University
- National Taiwan University
- Queensland University of Technology
- Santa Clara University
- Shanghai University of Finance and Economics
- The University of Manchester
- University of California Davis
- University of California Los Angeles
- University of Southern California
- University of Hong Kong
- University of Illinois Urbana-Champaign
- University of San Francisco
- University Of Toronto
- Xiamen University
Work Experience
| One Year or Less Work Experience | 26% |
| Median Prior Work Experience (Years) | 3 |
| Range (Years) | 0-18 |
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."