At least 12 credits of elective courses are required to complete the program. They can be chosen from the following topics:
CSC / MTH Electives (3 to 9 credits). One, two or three of the following courses:
CSC 632 – Introduction to Parallel Computing
CSC 645 – Advanced Artificial Intelligence
CSC 646 – Machine Learning
CSC 746 – Neural Networks and Deep Learning
MTH 613 – Partial Differential Equations I
MTH 614 – Partial Differential Equations II
MTH 620 – Numerical Linear Algebra
MTH 646 – Quantitative Risk Analysis
MTH 650 – Machine Learning in Quantitative Finance
MTH 721 – Mathematical Probability
FIN Electives (2 to 6 credits). One, two or three of the following courses:
FIN 602 – Fundamentals of Finance
FIN 643 – Quantitative Finance and Market Microstructure
FIN 653 – Alternative Investments
FIN 660 – International Finance
FIN 670 – Corporate Finance
FIN 681 – Financial Institutions
FIN 683 – Financial Modeling
Other Business Electives (0 to 3 credits). At most one of the following courses:
ACC 602 – Financial Reporting and Control in the Healthcare Industry
ECO 694 – Game Theory and Economic Strategy
FIN 631 – International Financial Management
FIN 641 – Valuation and Financial Decision Making
FIN 652 – Fixed Income Securities
