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商业与经济

金融数学

 学校:  

纽约大学

   硕士生项目

MS in Mathematics Finance

学年学制

3 Semester

学年学费

$2,212/Credit

奖学政策

提供奖学金

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

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 (including partial derivatives, multiple integrals, and Taylor series)

Linear algebra (including linear systems of equations, determinants, matrix 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. Work experience is necessary for part-time and non-degree applicants.

申请材料清单

The application for the full-time MS program , the part-time MS program , or the part-time Certificate program consists of the following parts:

The application itself (online application required)

A statement of purpose

3 recommendation letters (submitted online)

One official academic transcript from each  institution attended (uploaded as part of the online application)

GRE score (Note: We do not accept GMAT)

TOEFL or IELTS score for international students (this is not required if you have an undergraduate or more advanced degree from an English-speaking university)

A CV / resume

Note: The program will not be accepting any updated grades, resumes, research and work after an application has been submitted.

Applicants for non-degree study are required to submit:

The application itself

If you are a U.S. citizen or permanent resident or international student with an H1B Visa, you should apply for non-degree study by using the online application. If you are not a U.S. citizen or permanent resident or do not hold an H1B Visa, please write gsas.admissions@nyu.edu. In that message, (1) confirm you have read the instruction materials, (2) indicate the program of study in which you are interested and the term for which you will apply, and (3) indicate the visa type you already have or will request. Graduate Enrollment Services (GES) will correspond with you about your eligibility for non-degree study. If appropriate, they will send you a paper application.

Please refer to the "Non-degree application instructions" in the Application Resource Center at gsas.nyu.edu for more information

A statement of purpose

Official transcripts from all colleges or universities you attended

A resume

Application Deadlines

All application materials and credentials must have arrived at the Graduate School by the deadline. Take the GRE test early. It generally takes 4 weeks for your official test results to be made available. You should list code 2596 for the NYU Graduate School in your request to Educational Testing Service for forwarding official scores for TOEFL and GRE. To expedite the processing of your application, you may also include copies of your results. In some cases we may be able to start evaluating an application with only unofficial transcripts or GRE scores. Official transcripts and GRE scores are required eventually.

Full-Time Masters in Mathematics in Finance: February 8. Applicants are encouraged to submit their applications before the deadline. Full time students are accepted only for a Fall start date.

Part-Time Masters in Mathematics in Finance: August 1 for Fall, December 1 for Spring.

Non Degree and Certificate program: August 1 for Fall, December 1 for Spring.

Notification of Acceptance Status

Official notification is made only by Graduate Enrollment Services by email notification of admission or of rejection. We request that applicants not email the Program Administrator to ask if they have been admitted unless they are faced with a deadline from another university to which they must respond. Due to the large number of applications processed during March, it can take several weeks from the time of our decision until applicants receive their official notification letters. For this reason, we usually send an unofficial congratulatory email to successful applicants when decisions have been reached.

Application Requirements

Careful attention to these guidelines will make your application stronger.

The application itself

Fill in the application completely. Answer all the questions.

Statement of purpose

(Please follow these guidelines rather than the general instructions in the online application.) Explain your view of the finance industry, why you are attracted to it, and what aspects of it you are most interested in. Explain why you have chosen quantitative finance in general and our program in particular. Describe your career plans and goals as clearly as you have them. This can range from: ``a career somewhere in the finance industry'' to: ``running a desk trading exotic emerging market credit derivatives at BNP in London leveraging my language skills and knowledge of Latin American markets''. Describe your background and how it relates to your career plans. What motivated you to choose quantitative finance and why do you feel it is a good choice for you? Describe what you have done to learn about the finance industry and prepare yourself for our program. If quantitative finance represents a change in your career path, explain your decision to switch. Feel free to give other information that will help us understand your application better.

The statement of purpose should be no more than two pages double spaced or one page single spaced. Please be concise.

Recommendation letters

The most important consideration in admissions decisions is your talent for and preparation in mathematics. This could come from mathematics classes or highly mathematical classes in the sciences or engineering. The most helpful letters are from people who have seen your performance in the most challenging situations and can compare it to others. This generally means instructors in advanced classes that are heavily quantitative or mathematical. The program encourages full-time applicants to submit at least one letter describing their mathematical academic abilities, and at least one letter describing their computer science/programming during their studies. If you have significant work experience, we appreciate a letter from a manager who can describe your technical accomplishments. You may submit more than three letters, but please do not do so unless the extra letter adds significant new information. Please avoid the following mistakes:

The recommendation letter is not a character reference. Avoid writers who do not have first-hand knowledge of your technical abilities. This includes deans or officials who have not had you in class, instructors in low level or nontechnical classes such as calculus, literature, accounting, etc., friends, relatives, and colleagues.

If someone asks you to write the letter yourself, refuse . The recommender may ask you for a resume or a transcript or even some things about yourself you would like to be in the letter. Feel free to provide such information, but under no circumstances should you suggest the actual wording of the letter. We disregard any letter that we feel was written by the applicant. A professional understands better than a student what information a recommendation letter should convey.

The GRE and TOEFL

The general GRE test is required, but we encourage applicants to also submit scores from Subject GRE Tests in mathematics, physics or another highly quantitative discipline. We may waive the GRE requirement for an applicant with a technical PhD. Please contact us (email: mathfinapp@cims.nyu.edu) to request PhD waiver instructions.

The GRE and TOEFL institution code number for NYU GSAS is 2596. The GRE does not require a department code. The TOEFL requires a department code; please list code 99 if you did not list a code already (the only code that cannot be used is 00).

Department and Field of Study Codes

The paper application for non-degree study requires department and field of study codes. Please enter the following corresponding code: Non-Degree Study: MATF MAF.

The resume

Submit a professional quality resume. You can find suggested formats online. For professional or technical jobs, give the dates worked, the division of the firm and the city where you worked. Describe your activities in a few words or bullet points. Please list all major activities even if they are not academic or technical, such as military service, performing arts, religious study, etc., with places and dates if possible. List your educational history with places, dates, and a few details such as areas of concentration, thesis title, awards, GPA, etc.

截止申请时间:

2月8日

专业介绍

The Courant Master of Science Program in Mathematics in Finance is a professional master’s program founded in the late 1990's. Since the beginning, the program has had a strong pragmatic component, including practically oriented courses and student mentoring by finance professionals.

Our graduates know more finance than most science graduates and have stronger quantitative skills than most business graduates. They start with undergraduate degrees in quantitative subjects such as mathematics, physics, or engineering. They are admitted to the program through a highly selective process. At Courant, students experience a tightly integrated curriculum that provides an efficient introduction to the theoretical and computational skills that are genuinely used and valued in the industry. Our program’s special strengths include:

Its ensemble of courses, most of them created specifically for this program;

Extensive direct involvement of Fellows and other finance professionals;

Strong participation by permanent faculty in teaching and mentoring students;

Great depth in relevant areas of applied mathematics; and

Our location in New York City, a focal point of the financial world.

The response from the finance industry has been very encouraging. Year after year our graduates have found excellent jobs in a wide range of quantitative areas. Typical placements are in research, trading, asset management, algorithmic trading, regulation, or risk management groups at firms such as AQR, Bank of America Merrill Lynch, BlackRock, BNP Paribas, Credit Suisse, Goldman Sachs, Federal Reserve, J.P. Morgan Chase, Morgan Stanley, Two Sigma, DE Shaw and many more.

We continuously reassess the curriculum based on input from instructors, advisory board members, and industry colleagues who help us stay abreast of the latest developments in this continually evolving field. Their feedback often leads us to create new classes or modify existing ones. We also value the input of our current and recent students who tell us what works and what does not.

Our network of contacts within the financial industry is vast, yet constantly increasing. It includes our alumni and people, who have taught our courses, lectured in our seminars, supervised student projects, employed our students, or attended our classes. We are experienced in drawing on this network. While finding good internships and jobs will always require diligent effort by the individual student, our network of contacts enhances the likelihood of success.

课程设置

  • Derivative Securities
  • Risk and Portfolio Mgmt with Econometrics
  • Stochastic Calculus
  • Computing in Finance
  • Derivative Securities
  • Risk and Portfolio Mgmt with Econometrics
  • Stochastic Calculus
  • Stochastic Calculus
  • Models & Strategies in Practice (1,4)
  • Credit Analytics: Bonds, Loans, and Derivatives (1,4)
  • Scientific Computing (4)
  • Continuous Time Finance (1,3)
  • Int Rates & FX Models (1,3,4)
  • Scientific Computing in Finance (4)
  • Advanced Risk Management (1,2,4)
  • Continuous Time Finance (1,3)
  • Time Series Analysis and Statistical Arbitrage (1,3,4,6)
  • Case Studies in Financial Modeling (3,4,9)
  • Computational Methods for Finance (7,9)
  • Project & Presentation
  • Regulation and Regulatory Risk Models (1,2)
  • Advanced Econometric Modeling and Big Data (1,2,4)
  • Data Science in Quantitative Finance(1,2,4)
  • Project & Presentation
  • Algorithmic Trading and Quantitative Strategies (2,4)
  • Securitized Products & Structured Finance (1,3)
  • Energy Markets and Derivatives(1,3)
  • Advanced Topics in Equity Derivatives (1,3,4)
  • Market Microstructure (1,2,4)
  • Active Portfolio Management (1,2,4)
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