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Financial Mathematics and Analytics combines mathematics, statistics and finance to prepare students for careers in quantitative finance, risk analysis and data-driven financial decision-making.
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YOUR STUDIES
First-year studies include foundational courses in calculus, algebra, statistics, and introductory economics/finance.
Financial Mathematics, Risk Management, Data Analytics, Quantitative Finance
Faculty of Science (Department of Mathematics)
Full-time
In person
Yes
Yes
Optional
An honours thesis or applied project is optional.
ADMISSION REQUIREMENTS
Check the listed courses and application requirements alongside the university’s current admissions information.
Grade ranges are guidance, rather than a guarantee of admission. Some programs list university-level entry or progression requirements.
English (ENG4U), Advanced Functions (MHF4U), Calculus & Vectors (MCV4U)
Mid 70s.
Not required
Not required
EXPERIENTIAL LEARNING
Multiple co-op work terms (typically 12–16 weeks each) integrated throughout the degree.
Yes
Optional, competitive entry after Year 1.
Yes
No
CAREER PATHWAYS
Explore the career paths and professional pathways listed for this program.
Listed employers and career paths do not guarantee employment or placements.
Quantitative Analyst, Risk Analyst, Financial Analyst, Data Analyst, Actuarial Analyst
Preparation for CFA, FRM or actuarial designations (with additional exams).
TUITION & FEES
Fees depend on the academic year, course load, and student category. Use the university’s current fee information to plan your budget.
$10,358.00 CAD
Unverified estimate. Amount, fee period, academic year and student category need confirmation. Tuition and fees are subject to change; check the university’s official fee information.
Official tuition information ↗OFFICIAL SOURCES
Program information is being reviewed. Confirm current requirements, availability, and fees with the university. “Not specified” means the collected data does not confirm that detail.