ACTSC 632Data Science with Actuarial Applications
- Units
- 0.50
- Level
- Graduate
- Faculty
- Mathematics
- Subject
- Actuarial Science
ACTSC 632 as listed in the Fall 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course provides a comprehensive treatment of various techniques from statistics, predictive analytics and machine learning that can be used to analyze data sets relevant for actuarial applications. Specific topics covered include: modeling principles and practice, analysis and estimation of survival models, insurance pricing using generalized linear models, classification and tree-based methods.
Prerequisites
- Enrolled in Master of Actuarial Science (MActSc)
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
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
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