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2. 学生背景

Student Profile

Our students typically have an undergraduate major in mathematics or a closely related discipline such as physics, statistics, or engineering. They come from all over the US, Europe, Asia, Latin America, and Africa. The majority of our full-time students are in their 20s, have no previous work experience in finance, and do not already have a graduate degree. However, we do have students who are older, have had prior work experience, and who have a masters or PhDs in other subjects. Our part-time students typically already work in the financial industry and are somewhat older. They may be looking to upgrade their skills or prepare for a job change.

We seek highly qualified students with strong backgrounds in mathematics and computing and an interest in working within the financial community. We do not look for specific majors and do not have a single ideal candidate; rather we look for well rounded students with a definite plan to work in the financial community after graduation. Accepted students in past years have had majors as diverse as Mathematics, Economics, Finance, Computer Science, Physics and Engineering. In addition we have accepted PhD's and MBA's.

In the fall, a new class of full-time students numbers about 30. But our courses are also attended by part-time and non-degree students who work full-time in the financial industry as well as PhD students in Mathematics, Computer Science, Physics, and other sciences for whom quantitative finance is an attractive career option. At some course sessions, you will also find senior personnel from the financial industry attending who are interested in a lecturer's approach to a particular topic. We think this varied mix of course participants helps to enrich the educational experience of all, by allowing the sharing of viewpoints from many different professional perspectives.

3. 入学背景要求

Background Required

To gain admission, whether full-time, part-time, or non-degree, an applicant must demonstrate a high aptitude for quantitative reasoning. He or she must have a firm grasp of mathematics at a high undergraduate level, which includes at least the following Mathematics courses:

    * Multivariate calculus (through partial derivatives, multiple integrals, and Taylor series)
    * Linear algebra (systems of equations, determinants, factorization, range and null space, and eigenvalues of symmetric matrices)
    * Calculus-based course in probability (independence, conditional probabilities, Gaussian distribution, law of large numbers, central limit theorem).

Work experience is not necessary to gain acceptance into the full-time program, though it can be helpful for finding a job after the program.

4. 申请程序

Application Information and Deadlines

The application submission process for all programs is handled by the New York University Graduate School of Arts and Science. They forward applications to us for evaluation only once they are complete. We recommend using the online application, but you also may apply by mail. Please note non-degree applicants must submit a paper application.  You may use the Supporting Materials Tracking System to check whether your application is complete. You may contact Graduate Enrollment Services by phone: 212-998-8050, or email: gsas.admissions@nyu.edu.  Answers to frequently asked questions can be found here.  Graduate Enrollment Services is located just north of Washington Square Park at One-Half Fifth Avenue. Turn right at the statue of Cervantes.

Admission is very competitive for all Mathematics in Finance programs. The classes require a high level of mathematical talent and specific preparation. It is vital that your application give an accurate and complete picture of your background, talents, and interests. Please follow the detailed guidelines below as well as those of the Graduate School to maximize your chance of admission and prevent misunderstandings.
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