ST 501 — Fundamentals of Statistical Inference I First of a two-semester sequence in probability and statistics taught at a calculus-based level.
ST 502 — Fundamentals of Statistical Inference II Second of a two-semester sequence in probability and statistics taught at a calculus-based level.
ST 503 — Fundamentals of Linear Models and Regression Estimation and testing in full and non-full rank linear models.
ST 517 — Applied Statistical Methods I Course covers basic methods for summarizing and describing data, accounting for variability in data, and techniques for inference.
ST 518 — Applied Statistical Methods II Courses cover simple and multiple regression, one- and two-factor ANOVA, blocked and split-plot designs. Data with multiple sources of error such as longitudinal data collected over time and categorical data analysis including regression with binary response will also be covered.
ST 542 — Statistical Practice This course will provide a discussion-based introduction to statistical practice geared towards students in the final semester of their Master of Statistics degree.
ST 555 — Statistical Programming I An introduction to programming and data management using SAS, the industry standard for statistical practice.