32-33 credits
The master’s program in statistics provides students with the background suitable for employment as a statistician in business, industry, or government. The degree also provides suitable preparation for pursuing a PhD degree in statistics.
Degree requirements
MATH 528 | Regression and Time Series Models | 3 |
MATH 620 | Probability and Random Variables | 4 |
MATH 621 | Theory of Statistics | 4 |
MATH 624 | Introduction to Statistical Learning | 3 |
MATH 627 | Generalized Linear Models with Applications | 3 |
MATH 628 | Computational Methods in Statistics | 3 |
MATH 689 | Research Methods in Mathematics and Statistics | 3 |
9-10 credits from
MATH 522 | Theory of Sampling and Surveys | 3 |
MATH 529 | Analysis of Variance in Experimental Design Models | 3 |
MATH 610 | Statistical Programming: Base SAS 9 | 3 |
MATH 622 | Environmental Statistics | 3 |
MATH 629 | Introductory Survival Analysis | 3 |
MATH 656 | Bayesian Methods and Linear Mixed Models | 4 |
MATH 675 | Measure Theory and Integration 1 | 3 |
Total Credit Hours: | 9-10 |
Total Credit Hours: 32-33
Accelerated Master's Program (AMP)
Undergraduate students accepted to the Accelerated Master's Program (
AMP) most commonly take
MATH 620,
MATH 621, and a graduate elective.