SMGT 330

SPORT ANALYTICS

Credit Hours: 3 · Undergraduate Upper-Level

This course explores the application of data science, statistics, machine learning, and visualization techniques to sports performance, player evaluation, team strategy, scouting, etc. Students will learn to collect, clean, analyze, and interpret sports data using tools such as R and Python.

Prerequisites & course information

Short Title: SPORT ANALYTICS Department: Sport Management Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): COMP 140 or DSCI 101

Sources

Course catalogue ↗2026–2027