The M.A. program in Mathematics of Finance is designed for students who want to work in areas of quantitative finance such as quantitative portfolio management, quantitative trading, risk management, derivatives modeling, structuring and trading, and other related quantitative fields.
In conjunction with the Department of Statistics, the Department of Mathematics offers an M.A. in Mathematics with a specialization in the Mathematics of Finance. The program concentrates on the advanced quantitative methods required for modern finance and draws on the diverse strengths of Columbia in stochastic processes, numerical methods and application to finance. The program consists of ten courses, of which seven are required and three are electives. Topics covered include probability and random processes, statistics, partial differential equations, financial markets and instruments, valuation and hedging techniques, and computational and simulation methods. All required courses are available in the evenings. In addition to the regular course work, students attend a weekly seminar in which distinguished practitioners discuss their research, give mini-courses and suggest open problems.
Students may register full-time or part-time. Full-time students complete the degree in one year; part-time students complete the degree in no more than four years.
In addition to the requirements listed below, all students must submit one transcript showing courses and grades per school attended, a Statement of Academic Purpose and three letters of evaluation from academic sources. All international students whose native language is not English or whose undergraduate degree is from an institution in a country whose official language is not English must submit scores of the Test of English as a Foreign Language (TOEFL) or IELTS. For more information, refer to our Admissions Information and Frequently Asked Questions pages.
Deadline for Fall Admission:
March 1 for early admission: Decisions to admit, reject or put on wait list are mailed by late April.
May 31 for all admission
Recommended prerequisites: Calculus, linear algebra, elementary differential equations, probability, statistics. If possible, an exposure to advanced calculus and mathematical analysis is desirable. Additional information on prerequisites can be found here.