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 

40-50

Age Range

20-71

Female-Identifying

35%

First-Generation

18%

LGBTQ+

7%

Military/Veterans

8%

Number of Countries Represented 

13

U.S. States and Territories Represented

18

Number of Undergraduate Institutions

58

Number of Undergraduate Majors

55

GPA Range

2.4-4.0

Received Need-Based Fellowship from the School of Data Science

25%

Have Professional Work Experience

80%

 

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