All students completing a Masters of Financial Mathematics must take at least three electives. Choices for electives are quite extensive, so we developed Tracks that can guide your selections.

Tracks are tied to career paths and designed to prepare you for the right job after graduation.

Availability of courses- Seeing a course listed as an elective is not a promise to offer the class. Similarly, courses in these Tracks are necessarily offered on a regular basis. When courses are offered, they are not necessarily available to MFM students.

Requirements- To complete a Track, complete 3 or more electives in a particular list. Participating in a Track will have no impact on your official transcript and is not a requirement of the program, BUT adding a Track to your resume can help with your career search.

Data Science*

CSC 505 – Design and Analysis of Algorithms
CSC 522 – Automated Learning and Data Analysis
ISE 519 – Database Applications in Industrial and Systems Engineering
MA 540 – Uncertainty Quantification for Physical and Biological Models
ST 503 – Fundamentals of Linear Models and Regression
ST 516 – Experimental Statistics for Engineers II
ST 540 – Applied Bayesian Analysis
ST 564 – Statistical Thinking and Big Data
ST 590 – Applied Time Series
ST 562 – Data Mining with SAS Enterprise Miner

Portfolio Management

OR(ISE) 504 – Introduction to Mathematical Programming
OR(ISE) 505 – Linear Programming
OR 506 – Algorithmic Methods in Nonlinear Programming
MBA 523 – Investment Theory and Practice
MBA 524 – Equity Valuation
MA(OR,E) 531 – Dynamic Systems and Multivariable Control I
ISE 519 – Database Applications in Industrial and Systems Engineering

Risk Management

(only 2 MBA classes can be used as electives)

FIM(MA) 549 – Financial Risk Analysis
ISE 519 – Database Applications in Industrial and Systems Engineering
MA 590 – Practical Portfolio Management
MBA 515 – Enterprise Systems
MBA 518 – Enterprise Risk Management
MBA 527 – Corporate Risk Management
MBA 521 – Advanced Corporate Finance

Actuarial Science**

ECG 701 & 702 – Microeconomics I & II
ECG(ST) 750 – Introduction to Econometric Methods
ECG(ST) 751 – Econometric Methods
ECG(ST) 752 – Time Series Econometrics
ECG(ST) 753 – Microeconometrics
MA(ST) 747 – Prob. and Stoch. Processes II
MBA 518 – Enterprise Risk Management

PhD preparation for Mathematics, Statistics, or Economics

ST 521 instead of ST 501
ST 522 instead of ST 502

ECG(ST) 751 – Econometric Methods
ECG(ST) 752 – Time Series Econometrics
MA 523 – Linear Transformations and Matrix Theory
MA 540 – Uncertainty Quantification for Physical and Biological Models
MA(ST) 546 – Probability and Stochastic Processes I
ST 730 – Applied Time Series Analysis
ST 740 – Bayesian Inference and Analysis
ST 782 – Time Series Analysis

*Courses in the Data Science Foundations Graduate Certificate Program also count towards the Computational Methods Track.

**ST 730 and/or ST 758 can be used for the Actuarial Track if pursuing a PhD. Students are encouraged to take MA(ST) 412 and MA(ST) 413; however, these courses will not count towards the MFM degree.