Master of Mathematics (MMath) in Actuarial Science
University of Waterloo · ON · SJg-k00on
Master of Mathematics (MMath) in Actuarial Science is a Masters degree at University of Waterloo, ON. It covers areas like mathematical economics, machine learning, statistical computing, statistical learning, computational biology, computational mathematics. The summary below is compiled from public course information — approximate, not official.
University of Waterloo
Masters
What you'll study in Master of Mathematics (MMath) in Actuarial Science
Example subjects: Generalized Linear Models and Applications, Computational Inference, Statistical Learning - Classification, Computer Intensive Methods for Stochastic Models in Finance.
Frequently asked questions
What will I study in Master of Mathematics (MMath) in Actuarial Science?
Master of Mathematics (MMath) in Actuarial Science covers areas like statistical-learning, statistical-computing, machine-learning, mathematical-economics, financial-mathematics, computational-biology, computing, stochastic-processes.
Who offers Master of Mathematics (MMath) in Actuarial Science?
Master of Mathematics (MMath) in Actuarial Science is offered by University of Waterloo, ON.
Considering Master of Mathematics (MMath) in Actuarial Science?
Peernovo helps students research, choose and thrive at university — across Australia, the US, the UK and Canada — powered by our AI backbone:
- Explore & compare degrees — across universities and countries with honest, specific information.
- "What Can I Be?" career guidance — an AI pathway councillor that maps degrees to careers.
- See who's studying — your degree at your university — find classmates and study groups.
- AI Task Coach — a Socratic study companion that plans your work around your life.
- Honours & Thesis Research Coach — structure and move your research project forward.
- Smart study planner, exam prep and a daily digest — to keep you on track.
Sources: University of Waterloo official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
Something not right on this page, or want it changed? Let us know and we'll review it.