MA in Statistics with Emphasis in Data Analytics
Prerequisites
Three semesters of calculus (or equivalent), one semester of linear algebra, and at least one post-calculus course in probability and statistics. At least one course in applied linear models is recommended.
Degree Requirements
At least 30 hours of course work in the Department of Statistics; of these, at least 15 hours must be numbered 8000 or above.
| Required Courses | ||
| STAT 7110 | Statistical Software and Data Analysis | 3 |
| STAT 7750 | Introduction to Probability Theory | 3 |
| STAT 7760 | Statistical Inference | 3 |
| STAT 8310 | Data Analysis I | 3 |
| STAT 8320 | Data Analysis II | 3 |
| STAT 8330 | Data Analysis III | 3 |
| STAT 8640 | Bayesian Analysis I | 3 |
| Elective Courses | ||
| STAT 7580 | Introduction to Statistical Methods for Customized Pricing | 3 |
| STAT 7830 | Categorical Data Analysis | 3 |
| STAT 7870 | Time Series Analysis | 3 |
| STAT 9250 | Statistical Computation and Simulation | 3 |
| STAT 9530 | Data Mining and Machine Learning Methods | 3 |
Master's Exam
All students must pass a written comprehensive exam on the core data analytics portion of the program: STAT 7750, STAT 7760, STAT 8310, STAT 8320. These exams will be administered at least twice per year and may be taken on campus or in testing centers in the United States or Internationally.