Courses

During the academic year, classes are typically held one night a week, Monday through Thursday, from 6:15 pm to 8:45 pm. Times may vary during the summer.  Students must complete 6 required and 4 elective courses. Currently, there are no online courses available.

Students in the Master of Science in Applied Statistics (MSAS) program must complete Statistical Methods, Regression Methods, and Statistical Theory I within their first 15 credits.  They must also complete Statistical Theory II within their first 21 credits. 

Links: Typical Schedule for Full-Time MSAS Graduate Students and information on registering for classes.

 

Required Courses

MAT 7404 - Statistical Methods I

MAT 7500 - Statistical Programming

MAT 8400 - Statistical Theory I

 

MAT 8401 - Statistical Theory II

MAT 8406 - Regression Methods

MAT 8412 - Linear Models

Elective Courses

MAT 8408 - Multivariate Methods

MAT 8410 - Bayesian Statistics

MAT 8414 - Categorical Data Anal

MAT 8416 - Design of Experiments

MAT 8430 - Operations Research

MAT 8435 - Mathematical Modeling

MAT 8440 - Statistics Quality Control

MAT 8444 - Time Series and Forecasting

MAT 8446 - Survival Data Analysis

MAT 8448 - Clinical Trials

MAT 8450 - Longitudinal Data Analysis

MAT 8452 - Nonparametric Statistics

MAT 8454 - Sampling Methods

MAT 8462 - Stochastic Processes

MAT 8480 - Data Mining & Predictive Analytics

MAT 8790 - Selected Topics I

MAT 8795 - Selected Topics II

MAT 8800 - Independent Study

*Certain courses listed under other graduate programs may serve as electives with prior approval from the Director of the Applied Statistics Graduate Program.