HLTH 657MApplication of Artificial Intelligence in Health
- Units
- 0.25
- Level
- Graduate
- Faculty
- Health
- Subject
- Public Health Sciences
HLTH 657M as listed in the Winter 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course focuses on the application of machine learning (ML) and artificial intelligence (AI) techniques in the field of in healthcare and public health settings. Big data sources available for population health studies will be introduced to students and challenges related to AI in health data will also be discussed. The learning activities consist of lectures, student-led journal club discussions and a term paper to propose the application of ML techniques to solve population health or public health problems.
Prerequisites
- Must have completed the following:
- HLTH605B - Quantitative Methods and Analysis (0.50)
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Winter 2026
- Graduate Calendar, Winter 2026The archived entry
- Requirements for Winter 2026Waterloo’s requisite checker
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Graduate Calendar
- Fall 2025
- Winter 2026 (shown here)
- Spring 2026 requisites changed
- Fall 2026
- Winter 2024 and earlier in the calendar archives