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 | ~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
Why did you choose to pursue the MSDS program?
“I want to integrate data science with my background in biology to drive impactful research and contribute to advancements in healthcare and biotechnology. ... By leveraging data, I aim to make informed, evidence-based contributions that improve societal health outcomes.”
- Alanna Hazlett, MSDS 2025 | Research Technician at Howard Hughes Medical Institute
“I aim to master the knowledge and skills that will enable me to curate impactful scientific solutions for society’s challenges, present and future.”
- Cameron Preasmyer, MSDS 2026 | Marine Corps Veteran
“I hope to leverage data science and AI to enhance pharmacy operations and improve patient outcomes in clinical management.”
- Angie Yoon, MSDS 2026 | Doctor of Pharmacy, Board Certified Oncology Pharmacist | Welldyne
"Data isn't just numbers; it's a giant puzzle, and metrics are the key. I'm passionate about piecing it all together to drive decisions that deliver real results. That's why I'm driven to pursue deeper knowledge and higher education to better understand the art of data driven progress.”
- Alexander Owens, MSDS 2026 | Senior Business Intelligence Analyst at CHS Inc. | Army Veteran