The Department of Mathematics at Columbia University offers a Master of Arts program in Mathematics with specialization in the Mathematics of Finance (MAFN). It is co-sponsored by the Department of Statistics, and it draws on the diverse strengths of the university in mathematics, statistics, stochastic processes, numerical methods, and financial applications.
The program attracts students whose academic background is in quantitative areas such as mathematics, statistics, physics, economics, computer science, or engineering. Most have previous work experience or internship experience in finance.
Firms such as Goldman Sachs, Morgan Stanley, Citigroup, J.P. Morgan, Bank of America Merrill Lynch, UBS, Credit Suisse, Barclays Capital, Deloitte Consulting, Ernst & Young, Societe Generale, Credit Agricole CIB, various hedge funds and asset management firms, and many others have recruited graduates of the program.
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Full Time and Part Time
The program may be followed either full-time or part-time. International students on F-1 or J-1 visas must register full-time. Full-time students complete the program in two or three semesters, while part-time students typically take 2-3 years. Most full-time students graduated take advantage of the three semester option.
In the past, we have made a commitment to make sure that all required courses have at least one evening section in either the Fall or the Spring semester, in order to accommodate part-time students with day jobs. Because the number of part-time students has fallen, this commitment may no longer be in effect for students who enter the program in September 2020 or later. It will continue to be honored for all part-time students who have registered in the program in September 2019 or earlier.
The program is overseen by a Steering Committee consisting of faculty from the departments of mathematics and statistics, including the two department chairs.
The director of the program is Lars Tyge Nielsen.
We strive for a balance between rigorous theoretical courses and cutting-edge applied courses, the latter in many cases taught by professionals from the financial industry. In addition to the finance, mathematics and statistics course offered by the program, the students can take courses from all over the university.
The number of finance semester-courses offered directly by the program as electives has grown from 3 per year to around 12 per year currently. The latest course added is “Math GR 5430 Machine Learning for Finance”, which is offered in the spring semester.Print this page