TOPICS IN MATHEMATICAL DATA SCIENCE
Advanced topics in the mathematical foundations of data science
Prerequisites & course information
Requisites: Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: Yes, unlimited number of completions Last Taught: Fall 2026 Learning Outcomes: 1. Apply advanced mathematical concepts to solve a variety of data science problems Audience: Graduate 2. Analyze rigorously the mathematical properties of methods used in data science Audience: Graduate Learning Outcomes: 1. Apply advanced mathematical concepts to solve a variety of data science problems Audience: Graduate 2. Analyze rigorously the mathematical properties of methods used in data science Audience: Graduate
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Catalogue variants
- TOPICS IN MATHEMATICAL DATA SCIENCE · 1-3 credits.