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 (Fall only)

MAT 7500 - Statistical Programming 

MAT 8400 - Statistical Theory I (Fall only)

 

MAT 8401 - Statistical Theory II (Spring only)

MAT 8406 - Regression Methods (Spring only)

MAT 8412 - Linear Models (Fall only)

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 (e.g., Data Science)

MAT 8795 - Selected Topics II

MAT 8800 - Independent Study

 

*These courses, along with a few others not listed here, are offered via the MA in Mathematics program, but can be counted toward the MS in Applied Statistics Degree. Applied Statistics students should take no more than two of these "crossover" courses and should check with the Director of Applied Statistics when interested in taking more than one.

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