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 (15 cr) | |||
| STA401 | Regression Analysis | 3 | None |
| DAS422 | Exploratory Data Analysis and Visualization | 3 | None |
| STA411 | Statistical Inference | 3 | None |
| CIS431 | Modern Applied Statistical Learning | 3 | None |
| DAS441 | Data Mining for Business | 3 | None |
| Electives (12 cr) Select four courses from the following |
|||
| CIS543 | Computer Vision and Natural Language Processing | 3 | CIS536 |
| CIS441 | Cloud Computing and Big Data | 3 | None |
| DAS421 | Sample Survey and Customer Analytics | 3 | None |
| CIS536 | Applied Machine Learning | 3 | CIS431 |
| STA421 | Design and Analysis of Experiments and Quality Control | 3 | None |
| STA441 | Survival Analysis | 3 | STA411 |
| STA531 | Multivariate Analysis | 3 | STA411 |
| STA535 | Bayesian Analysis | 3 | STA411 |
| STA545 | Nonparametric Statistics | 3 | STA411 |
| Capstone (4cr) | |||
| DAS561 | Capstone Project | 4 | Dept. Approval |
| Total Credits Required for Graduation | 31 | ||