The interdisciplinary Bendheim Center for Finance offers a Master in Finance degree. The distinctive feature of Princeton’s Master in Finance program, which was ranked #1 by Risk.net in 2019 and Quantnet in their 2020 rankings, is its strong emphasis on financial economics, data analysis and technology, in addition to financial engineering and computational methods.
Graduates of our program have a solid understanding of the fundamental quantitative tools from economic theory, probability, statistics, optimization and computer science, all of which are becoming increasingly vital in the financial industry. The Master in Finance program helps prepare students for a wide range of careers both inside and outside the financial industry, including financial engineering and risk management, quantitative asset management, macroeconomic and financial forecasting, quantitative trading, financial technologies and applied research. Although the program does not require prior work experience in finance, in recent years having exposure to finance through internships, research and/or case workshops and competitions — has been essential in an increasingly challenging job market. The Bendheim Center provides extensive career assistance to students, including connections with our strong alumni network for internships and career opportunities.
The length of the program is 4 semesters, and the Master in Finance class graduates with all finishing Princeton students at Commencement and the Hooding Ceremony. A small number of students with strong prior knowledge of the field, mathematical aptitude, work experience and job offers are offered to take a compressed two semester program.Princeton’s Master’s program draws upon the combined strength of a variety of departments at Princeton, including the Department of Economics, the Department of Operations Research and Financial Engineering, the Department of Computer Science, and others.
Students completing the program in two years will have the opportunity to obtain the Graduate Certificate from the Center for Statistics and Machine Learning (CSML) if they successfully satisfy the conditions detailed here, in which case, this certificate will appear on the transcript of the graduating students.
If you have further questions about the MFin program that are not covered by this website please contact the Director of Graduate Studies, Professor Rene Carmona or our Academic Administrator, Melanie Heaney-Scott.