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Courses - Fall 2026
MATH
Mathematics Department Site
MATH440
Geometry and Data Science of Sports Analytics
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: MATH240, MATH341 or MATH461.
Recommended: Python programming experience.
Credit only granted for: MATH498R or MATH440.
Formerly: MATH498R.
Students will learn as well as gain hands-on experience in geometrical aspects and data analysis aspects of sports performance analytics. The course will involve programming via Python as well as other software. Topics may include JSON, using API to gather and analyze big data sets arising in sports analytics, detecting geometrical patterns in data, analyzing motion tracking data. Interactions between mathematics, statistics, hands-on programming and geometry of data sets will be emphasized.