轉專業申請是否可行?轉專業申請是可以的，不過很多專業都是有先修課要求的，
上海三立小編今天就以美國院校轉專業申請金工/金數需要提前修讀哪些課程為例：以哥倫比亞大學為例
如果是金融工程, 學校要求學生修讀過以下數學課
概率論probability,微積分 calculus 線性代數 linear algebra
如果是金融數學
Prerequisites
Applicants should have a very good working knowledge of calculus, linear algebra, elementary differential equations, probability, and statistics, and a programming language.
Exposure to advanced calculus and mathematical analysis, including measure theory, is desirable but not required.
Texts recommended for self-study
Ross: “A First Course in Probability”
Mood, Graybill & Boes: “Introduction to the Theory of Statistics”
Rudin: “Principles of Mathematical Analysis”
以紐約大學金融工程為例
學校要求學生修讀過
Linear Algebra線性代數
Probability Theory概率論
Calculus (Advanced) 微積分 (高級的微積分, 如 Multivariable Calculus多元微積分)
Applied Statistics 應用統計學或統計學
Computer Programming 計算機編程語言, 比如C++ 或者JAVA
紐約大學金融數學為例
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)
UCLA要求更高
？ Evidence of computational programming skills (for example, C++) and familiarity with computers as computational and management tools熟練掌握計算機編程技巧, 比如C++
以及熟悉計算機和計算管理軟件
？ Strong quantitative background強有力的數理背景, including coursework in:包括以下課程 linear algebra線性代數, multivariate calculus多元微積分, differential equations微分方程, numerical methods數值方法, advanced statistics and probability高級統計學和概率論, 包含以下主題which includes the following topics: discrete distributions離散分佈, continuous distributions連續分佈, density functions密度函數, sampling theory抽樣法理論, statistical inference統計推斷, hypothesis testing假設檢驗/測算, ordinary least squares普通最小二乘法,等內容 t-statistics, sampling vs. population moments, chi-square goodness of fit tests, etc.
？ Excellent writing, speaking, and presentation ability in English
？ Evidence of experience with mathematical tools (for example, MATLAB)數學工具比如MATLAB
？ Work or research experience in a quantitative discipline (recommended, but not required)
？ Progress towards obtaining CFA certification建議學生要為獲得CFA做好準備
？ Experience with statistical and econometric applications (recommended)建議要有統計學和計量經濟學的應用經歷
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