Typical Class Profile
The Online M.S. in Data Science is a cohort-based program designed for high-achieving students interested in data science.
Average Cohort Class Size | 50-60 |
Age Range | 20-71 |
Age 20-25 | 38% |
Age 26-31 | 35% |
Age 32-41 | 16% |
Age 42-49 | 6% |
Age 50+ | 7% |
Female-Identifying | 33% |
First-Generation | 23% |
LGBTQ+ | 9% |
Military/Veterans | 11% |
International | 8% |
Number of Countries Represented | 11 |
U.S. States and Territories Represented | 19 |
Number of Undergraduate Institutions | 81 |
Number of Undergraduate Majors | 54 |
GPA Range | 2.4-4.0 |
Academic and Professional Median GPA | 3.48 |
Received Need-Based Fellowship from the School of Data Science | 25% |
Have Professional Work Experience | 80% |
Meet Online MSDS Students
“Data is the key to moving people to action, and I hope to use data to tell a story about the social problems we are currently facing and the impact of potential policy solutions.”
- Hannah Koizumi, MSDS 2023, Program & Operations Manager, Center for Ballot Freedom
“I want to develop the skills and understandings required to leverage data to tell stories and effect meaningful change in society.”
- Abi Snyder, MSDS 2024 | Elite MTB Athlete | 2023 Women in Sports Tech Fellow | Bicycle Retail Professional
“I hope to learn more about how we can incorporate data science tools in everyday applications to change organizations for the better.”
- Suraj Kunthu, MSDS 2024, Software Engineer at Capital One