RST 407

spring 2025

All Classes

Sport Analytics: Data-Driven Decision Making

Credit: 3 OR 4 hours.

Introduces students to the basic analytical techniques and quantitative methods that are being used to inform data-driven decisions in the sport industry. Students will discuss and analyze the methods of sport analytic topics, such as player performance, team management, in-game decision making, market research, and data segmentation. To facilitate the teaching and learning process, this class will consist of lectures, discussions, in-class exercises, homework, and individual and team projects.

3 undergraduate hours. 4 graduate hours. Prerequisite: Quantitative Reasoning I course or equivalent.

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