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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Graphic showing demographic data for the MSDS online class profile.
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Graphic showing additional data for the MSDS online class profile.
Average Cohort Class Size ~60   
Age Range20-71
Age 20-2541%
Age 26-3131%
Age 32-4118%
Age 42-494%
Age 50+7%
Female-Identifying29%
First-Generation21%
LGBTQ+8%
Military/Veterans10%
International14%
Number of Countries Represented 11
U.S. States and Territories Represented23
Number of Undergraduate Institutions82
Number of Undergraduate Majors94
GPA Range2.4-4.0
Academic and Professional Median GPA3.43
Received Need-Based Fellowship from the School of Data Science25%
Currently Work Full-Time80%

 

Meet Online MSDS Students

 

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Hannah Koizumi, MSDS Online Program Student, Class of 2023

“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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Abigail Snyder, MSDS Online Student 2024

“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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 Suraj Kunthu, MSDS Online Student 2024 and Student Ambassador

“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