Graduate Statistics Courses
Below is a list of graduate courses in statistics (STAT) that the Department offers during the current academic year.
UConn students taking statistics courses have access to a variety of statistical software through the University. Learn more on our Statistical Software page.
Academic Year 2026-2027
Statistics (STAT) Courses
5835. Causal Inference
3.00 credits
Prerequisites: Recommended preparation: Familiarity with probability theory and statistical inference; experience with R. Not open for credit to students who have passed STAT 5095 when offered as "Casual Inference."
Grading Basis: Graded
Introduction to causal inference, the science of drawing conclusions about cause-and-effect relationships from data. Topics include potential outcomes, randomized trials, causal graphical models, observational studies, instrumental variables, mediation and interference.