Statistics Courses

The School of Statistics is committed to preparing students to be successful in a data-driven world. We offer a wide variety of engaging courses every semester. Below is a list of graduate courses currently offered by the School of Statistics. Course descriptions in our ClassInfo database provide more in-depth information about courses, expectations, and workload to give you a realistic understanding about what you will experience in the course.

8051 Advanced Regression Techniques: linear, nonlinear and nonparametric methods
8052 Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling
8053 Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression
8054 Statistical Methods 4: Advanced Statistical Computing
8056 Statistical Learning and Data Mining
8101 Theory of Statistics 1
8102 Theory of Statistics 2
8111 Mathematical Statistics I
8112 Mathematical Statistics II
8311 Linear Models
8801 Statistical Consulting
8913 Literature Seminar
8931/8932 Advanced Topics in Statistics