In addition to the Master of Science program in Mathematics in Finance, the department offers an advanced certificate program in Financial Mathematics, which permits part-time students working in the industry to take just the courses most relevant to their interests and needs.
Admissions
All applicants to the Graduate School of Arts and Science (GSAS) are required to submit the general application requirements, which include:
See Mathematics in Finance for admission requirements and instructions specific to this program.
Program Requirements
Students choose any 8 of the courses associated with the mathematics in finance curriculum, for a total of 24 credits.
Course List
Course
Title
Credits
Required Courses
Mathematics in Finance Electives (chosen in close consultation with an academic adviser)
24
Total Credits
24
Sample Plan of Study
Plan of Study Grid
1st Semester/Term
Credits
Elective
3
Elective
3
Elective
3
Credits
9
2nd Semester/Term
Elective
3
Elective
3
Elective
3
Credits
9
3rd Semester/Term
Elective
3
Elective
3
Credits
6
Total Credits
24
Learning Outcomes
Upon successful completion of the program, graduates will have:
Development of computer software skills, including facility with a high-level language such as Python, and the ability to work with financial databases.
Development of mathematical skills, including the tools from probability, statistics, and scientific computing that are most useful in quantitative finance.
Development of a broad understanding of financial markets and the many investment securities and instruments they encompass.
Development of familiarity with widely-used financial models for pricing, hedging, risk-management, asset allocation, and other applications of quantitative finance. This includes understanding the models' hypotheses and limitations.
Acquisition of specialized skills associated with selected quantitative career paths; examples of such skills include algorithmic trading, statistical arbitrage, and financial machine learning.