For those students who entered the Financial Mathematics program in Fall 2022, degree requirements are as follows:
Units for Degree Completion: 1250
- Foundations Courses - 250 units
- Computing Courses - 200 units
- Markets Courses - 100 units
- Trading & Portfolio Management - 100 units
- Machine Learning & Algorithms - 100 units
- FINM 32950 - Introduction to HPC in Finance
- FINM 33160 - Machine Learning for Finance
- FINM 33165 - Generative Models
- FINM 33210 - Bayesian Statistical Inference and Machine Learning I
- FINM 33220 - Bayesian Statistical Inference and Machine Learning II
- FINM 34800 - Modern Applied Optimization
- BUSN 41204 - Machine Learning
- Elective Courses - 500 units
Any FinMath courses taken in excess of the requirements count towards Electives.
2022-2023 Degree Concentrations.
Click here to see the Curriculum Guide for 2022-2023.