Apply statistical methods and data analysis to the sports industry. Students will learn how to acquire sports data, generate summary statistics, build probabilistic models, assess hypotheses, and present research finding
Introductory Courses
These courses make up the introduction to the Statistics program, 5 credits.
- First year seminar (STAT 192)
- Introduction to R Programming (STAT 158)
- Culture and Coding: Python (CS 150B)
Statistics Core
These courses make up the core of the Statistics program, 18 credits.
- Statistics Theory and Practice (STAT 315)
- Data Analysis I and II (STAT 341 & STAT 342)
- Probability and Mathematics Statistics I and II (STAT 420 & STAT 430)
- Statistics Research Methods (STAT 472)
Math Core
These courses make up the math component of the Statistics Major, 11-12 credits.
- Math for Computational Science I and II (MATH 156 & MATH 256)
- Linear Algebra (DSCI/MATH 369)
- Intro to Math Reasoning (MATH 235)
Note: most students start at a lower level of math – students do not need to be ready for calculus in the first semester!
Sports Statistics Electives
- DSCI 335: Inferential Reasoning in Data
- STAT 331: Intermediate Applied Statistical Methods
- STAT 351: Sports Statistics and Analytics I
- STAT 451: Sports Statistics and Analytics II
- STAT 400: Statistical Computing or DSCI 445: Statistical Machine Learning
Students completing this track will be eligible for the Sports Statistics and Analytics Certificate.
Looking for a career in the sports industry? Add a Sports Management minor!
Please contact the undergraduate advisor at elizabeth.montgomery@
