Sports Analytics students complete 10 courses for a total of 30 credit hours.
Six courses are required:
- INFO-I 501 Introduction to Informatics
- LIS-S 511 Database Design
- PBHL-B 670 Biostatistics in R or PSY 60000 Statistical Inference
- INFO-H 515 Statistical Learning
- INFO-H 516 Cloud Computing for Data Science
- INFO-H 517 Visualization Design, Analysis, and Evaluation
Four additional courses are selected from the following list:
- INFO-H 518 Deep Learning Neural Networks
- INFO-H 559 Media and Technology Entrepreneurship
- INFO-I 595 Internship
- NEWM-N 510 Web Database Development
- TESM-S 514 Sports Marketing and Sponsorship
- TESM-T 500 Foundations of Event Tourism
- TESM-T 519 Sports Tourism Management
- TESM-T 531 Event Tourism Marketing
- TESM-T 562 Economics of Event Tourism
- TESM-T 582 Applied Sport Event Research
- TESM-T 598 Master’s Consulting Project