This is a professional master’s program that prepares students for careers in quantitative finance. Course work covers mathematical background, financial theory and models, computational techniques, and practicalities of financial markets and instruments. Instructors include Courant Institute faculty and New York City finance professionals. There is a strong career placement component.
Coursework: Students must complete 36 points of coursework. The Mathematics in Finance Master’s Degree Curriculum consists of 9 required courses (21 points) and elective courses adding to 15 points. Required courses are Financial Securities and Markets, MATH-GA 2791 (3 points), Stochastic Calculus, MATH-GA 2903 (1.5 points), Data Science and Data-Driven Modeling, MATH-GA 2070 (1.5 points), Dynamic Asset Pricing, MATH-GA 2793 (1.5 points), Machine Learning & Computational Statistics, MATH-GA 2071 (1.5 points), Scientific Computing, MATH-GA 2043, or Scientific Computing in Finance, MATH-GA 2048 (3 points), Risk and Portfolio Management, MATH-GA 2751 (3 points), Computing in Finance, MATH-GA 2041 (3 points), Project and Presentation, MATH-GA 2755 (3 points).
Master’s Project: Students complete their Master’s Project in the “Project & Presentation” course. They conduct research in smaller groups (2-3 students), supervised by faculty, adjunct faculty members, and/or subject matter experts in the financial industry. Students produce a written report (Master’s thesis) and give a final presentation; each contributing equally to their final grade.on.