Master of Science in Data Analytics
Flexible Online and On-Campus Learning Options
The M.S. degree requires 30 credit hours, consisting of the 3 core courses, 6 elective courses providing a deeper understanding of specific methods, tools, and specific areas of application, and a 3-credit capstone practicum selected from an approved set of challenge areas developed in partnership with industry, government, and civic organizations.
Core Requirements (courses offered in both spring and fall semester)
- DA 501: Introduction to Data Science and Python
- DA 514: Applied Statistics and Data Analysis
- DA 515: Introduction to Machine Learning
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