MAT245H1 - Mathematical Methods in Data Science
Course: MAT245H1 (Mathematical Methods in Data Science) in MAT department at University of Toronto.
Credit Hours: 36 • Academic Level: second-year undergraduate course
Course Requirements: Requires 3 prerequisite courses
Prerequisite Chain Depth: 5 levels of foundational courses required
Course Type: Capstone or specialized course - synthesizes prior learning
Part of the MAT curriculum at University of Toronto, helping students progress through degree requirements.
Prerequisites for MAT245H1
Academic Planning at University of Toronto
Students planning MAT245H1 at University of Toronto should complete 3 prerequisites before enrollment.
Course Sequence: This course requires a 5-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
This second-year course at University of Toronto integrates into structured degree pathways for MAT programs, supporting timely graduation and academic progression.