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Data Analytics Graduate Major (MS)
| Code | Title | Credits |
|---|---|---|
| Prerequisites | ||
| ST 351 | INTRODUCTION TO STATISTICAL METHODS | 4 |
| Mathematics to the level of calculus is recommended but not required | ||
| Statistics Core | ||
| ST 516 | FOUNDATIONS OF DATA ANALYTICS | 4 |
| ST 517 | DATA ANALYTICS I | 4 |
| ST 518 | DATA ANALYTICS II | 4 |
| ST 558 | MULTIVARIATE ANALYTICS | 3 |
| ST 566 | TIME SERIES ANALYTICS | 3 |
| ST 595 | CAPSTONE PROJECT | 3 |
| Computer Science Core | ||
| CS 511 | PROGRAMMING AND DATA STRUCTURES | 4 |
| CS 512 | DATA SCIENCE TOOLS AND PROGRAMMING | 4 |
| CS 513 | APPLIED MACHINE LEARNING (Applied Machine Learning [pending approval]) | 4 |
| Electives in Statistics | ||
| Select 12 credits of the following: | 12 | |
| DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS | ||
| APPLIED SURVIVAL ANALYSIS | ||
| DATA VISUALIZATION | ||
| MODERN STATISTICAL METHODS FOR LARGE AND COMPLEX DATA SETS | ||
| SURVEY METHODS | ||
| INTRODUCTION TO QUANTITATIVE GENOMICS | ||
| STATISTICAL METHODS FOR GENOMICS RESEARCH | ||
| Total Credits | 45 | |
