PSCI 637Introduction to Machine Learning for Public Policy
- Units
- 0.50
- Level
- Graduate
- Faculty
- Arts
- Subject
- Political Science
PSCI 637 as listed in the Fall 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.
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.
Check it elsewhere for Fall 2025
- Graduate Calendar, Fall 2025The archived entry
- Requirements for Fall 2025Waterloo’s requisite checker
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them