Curriculum Details
The following table lists the courses for the MS in Data Science Program.
Course List for MS in Data Science
| Code | Course Title | Credits | Prerequisite(s) |
|---|---|---|---|
| Core Requirements (18 cr) | |||
| CIS531 | Modern Applied Statistical Learning | 3 | None |
| DAS522 | Exploratory Data Analysis and Visualization | 3 | None |
| DAS541 | Data Mining for Business | 3 | None |
| STA502 | Probability Theory | 3 | None |
| STA511 | Advanced Regression Analysis | 3 | None |
| STA512 | Statistical Inference | 3 | STA502 |
| Electives (12 cr) Select four courses from the following |
|||
| CIS536 | Applied Machine Learning | 3 | CIS531 |
| CIS541 | Cloud Computing and Big Data | 3 | None |
| CIS643 | Computer Vision and Natural Language Processing | 3 | CIS536 |
| DAS521 | Sample Survey and Customer Analytics | 3 | None |
| STA521 | Design and Analysis of Experiments and Quality Control | 3 | None |
| STA541 | Survival Analysis | 3 | STA512 |
| STA631 | Multivariate Analysis | 3 | STA512 |
| STA635 | Bayesian Analysis | 3 | STA512 |
| STA745 | Nonparametric Statistics | 3 | STA512 |
| Capstone Project (6 cr) | |||
| DAS761 | Capstone Project | 6 | Dept. Approval |
| Total Credits Required for Graduation | 36 | ||