Introduction to Sport Analytics

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STAT 405 and ( STAT 310 or STAT 315 or DSCI 301 or ECON 307 or BUSI 395 ) Description: Sport analytics is the use of data and quantitative methods to measure performance and make decisions to gain advantage in the competitive sports arena. In this course, students will learn skills including critical thinking, modeling, predictive analytics, game theory, optimization, and simulation. Graduate/Undergraduate Equivalency: SMGT 530 . Mutually Exclusive: Cannot register for SMGT 430 if student has credit for SMGT 530→SMGT 430→unlocks 3 courses

3 mapped courses list SMGT 430 as a prerequisite. See on the map →

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