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Topics in Mathematical Data Science
Advanced topics in the mathematical foundations of data science.
Summary
Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 3.57 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.76 GPA, 100.0% A/AB (n=17 letter grades).
What you’ll be able to do
Apply advanced mathematical concepts to solve a variety of data science problems
Analyze rigorously the mathematical properties of methods used in data science
Source: UW Guide 1· UW Guide 2· UW Guide 3
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program
- Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program
Professors
Spring 2027Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 3.57 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.76 GPA, 100.0% A/AB (n=17 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Mathematical foundations of data science
Skills
- Applying advanced mathematical concepts to solve data science problems
- Rigorous analysis of mathematical properties of data science methods
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Topics in Mathematical Data Science
Recorded 2026-10-29Topics in Mathematical Data Science
Recorded 2026-10-29Topics in Mathematical Data Science
Recorded 2026-10-29Raw records
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]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-29
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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