PSCI 637Introduction to Machine Learning for Public Policy
- Units
- 0.50
- Level
- Graduate
- Faculty
- Arts
- Subject
- Political Science
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 3 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.
This course is an introduction to machine learning and other complex statistical methods that can be used to analyze a wide array of policy issues based on the use of open data. Learners must have knowledge of multivariate regression methods and be trained in the basic use of python or R to take this course.
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Fall 2026 sections
| Section | Class | Enrolled | Meets |
|---|---|---|---|
| SEM 001 | 4125 | 11 / 20 | Online or by arrangement |
Check it elsewhere for Fall 2026
- Graduate Calendar, Fall 2026The official entry
- Requirements for Fall 2026Waterloo’s requisite checker
- Schedule of Classes, Fall 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them