There are specific curricular course requirements for all M.S. programs listed below. These may be found in the Department of Mathematics Guide to Admission and Graduate Studies, available in the office of the department or on the Web at www.math.nyu.edu/degree/guide.

Mathematics: To fulfill the requirements for the master’s degree in mathematics, a student must either complete 36 points and pass the departmental written comprehensive examination at the master’s level or complete 32 points and submit an acceptable master’s thesis approved by the department. In either case, at least 12 points must be taken from the core courses offered by the department. The master’s thesis topic may be in pure mathematics, or it may be related to the student’s professional goals, such as financial modeling and computation. Part-time students may be able to find a thesis topic related to their current employment.

Scientific Computing (Leslie Greengard, Director): This program is offered jointly by the Departments of Mathematics and Computer Science of the Courant Institute. It offers focused training in mathematical and computational techniques as well as appropriate parts of computer science that enable the student to make full use of modern computational hardware and software. To fulfill the requirements for the master’s degree in scientific computing, a student must complete 36 points including a computational master’s project, which must demonstrate mastery of computational methods as well as use of modern data analysis and graphical methods.

Mathematics in Finance (Peter P. Carr, Director): 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. Students must complete 36 points, including a master’s project. Further information about the program is available in the office of the department and on the Web at www.math.nyu.edu/financial_mathematics.

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