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 2025-2026

Statistics (STAT) Courses

5405. Applied Statistics for Data Science

3.00 credits

Prerequisites: GRAD 5100, may be taken concurrently; Open only to MS Data Science students, others with instructor consent. Recommended preparation: An undergraduate course in statistics. Not open for credit to students who have passed BIST/STAT 5505 or BIST/STAT 5605.

Grading Basis: Graded

Statistics essential for data science incorporating descriptive statistics; integrative numerical description and visualization of data; graphical methods for determining and comparing distributions of data; data-driven statistical inference of one-sample, two-sample, and k-sample problems; linear regression; non-linear regression; and dependent data models.