Application Deadlines
Applications will be reviewed as they are received and may be considered after the deadline on a case-by-case basis.
The Master of Science in Statistics and Data Science delivers a unique curriculum with the flexibility to customize the program to your industry or interests. After completing the required foundational courses, students may choose electives in order to specialize in geography and urban studies, computer information science, or actuarial science.
| Core Courses (24 credits) | Electives (6 credits) |
| Statistical Methods I | Statistical Science |
| Applied Statistics and Data Science | Computer Information Science |
| High Dimensional Inference for Data Science | Actuarial Science |
| Design and Analysis of Complex Experiments | Geography and Urban Studies |
| Data Wrangling and Curation OR CIS 5516 | |
| Visualization: The Art of Numbers | |
| Statistical Computing for Data Science | |
| Capstone in Analytics |
Sample Course Progression
Full-Time Completion Path
| Year 1 Fall | Year 1 Spring | Year 2 Fall |
|---|---|---|
| Statistical Methods I | Applied Statistics and Data Science | Design and Analysis of Complex Experiments |
| Data Visualization | Statistical Computing for Data Science | Capstone in Analytics |
| Data Wrangling and Curation | High Dimensional Statistics and Data Mining | Optional Elective |
| Optional Elective | Optional Elective |
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