Typical Class Profile
The Online M.S. in Data Science is a cohort-based program designed for high-achieving students interested in data science.
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Average Cohort Class Size | ~60 |
Age Range | 20-71 |
Age 20-25 | 41% |
Age 26-31 | 31% |
Age 32-41 | 18% |
Age 42-49 | 4% |
Age 50+ | 7% |
Female-Identifying | 29% |
First-Generation | 21% |
LGBTQ+ | 8% |
Military/Veterans | 10% |
International | 14% |
Number of Countries Represented | 11 |
U.S. States and Territories Represented | 23 |
Number of Undergraduate Institutions | 82 |
Number of Undergraduate Majors | 94 |
GPA Range | 2.4-4.0 |
Academic and Professional Median GPA | 3.43 |
Received Need-Based Fellowship from the School of Data Science | 25% |
Currently Work Full-Time | 80% |
Meet Online MSDS Students
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“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
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“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
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“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