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没有过硬数理背景的纯商科学生咋才能被top20的美国大学msf录取?

很难吧，TOP20开MSF的本身不算多，而且在研究生录取中不管是不是top20，GPA/GRE/GMAT都只是学校在招生过程中众多参考项的一小部分，达到学校的预期后再高出很多其实对录取成功率的帮助并不是很大，毕竟学校对你的申请essay、推荐信、CV以及面试表现也很看重。而且本科商科是什么样的水平其实大家心里都有数，想申牛校除非本身自己就在美国top20的大学去申自己学校的MSF，申别的学校的这年头商科single major不double个CS或者数学，真的非常困难，毕竟你的竞争对手都是大牛
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基本上是无法弥补 虽然不会像MFE对数学或者CS要求那么高 但是不是很低 TOP20的学校开了MSF的一共是四所学校（根据2016 USNEWS）MSF – Aarhus1. Princeton2. MIT3. Vanderbilt4. Washington University in St. Louis----------------------------------------------------------------------------举MIT MFin为例 Suggested Backgroundsuggested background：Listed below is an outline of the mathematical background that is desirable to have in order to be successful in the most challenging of courses in the program.Linear algebra: Basic topics, including: matrix/vector notation, operations on matrices and vectors, determinants, eigenvalues and eigenvectors, quadratic forms, and systems of linear equations.
Calculus: Multivariable differentiation and integration, series expansions, and function approximation and maximization.
Probability: Sample spaces and random variables, common distributions and densities, moments of distributions, conditional probability and Bayes’ theorem, law of large numbers, central limit theorem, joint distributions, covariance, correlation, and stochastic independence.
Stochastic processes: Random walks, Bernoulli trials, Markov processes, basic properties of linear time series models, continuous-time processes, and Ito’s lemma.
Statistics/econometrics: Parameter estimation, confidence intervals, hypothesis tests, linear regression models, ordinary least squares, and likelihood principle.
Computer literacy: Basic programming experience and readiness to learn new tools and features; for example, familiarity with programming in MATLAB, Python, Java, or C++. Basic experience with Microsoft Office business tools, especially use of Excel for data analysis and presentation.
【没有过硬数理背景的纯商科学生咋才能被top20的美国大学msf录取?】 不难看出 对数学的要求算是非常细的了 如果不具备比较强的数学背景 GPA GMAT肯定是无法弥补的


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