转专业申请是否可行?转专业申请是可以的，不过很多专业都是有先修课要求的，
上海三立小编今天就以美国院校转专业申请金工/金数需要提前修读哪些课程为例：以哥伦比亚大学为例
如果是金融工程, 学校要求学生修读过以下数学课
概率论probability,微积分 calculus 线性代数 linear algebra
如果是金融数学
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”
以纽约大学金融工程为例
学校要求学生修读过
Linear Algebra线性代数
Probability Theory概率论
Calculus (Advanced) 微积分 (高级的微积分, 如 Multivariable Calculus多元微积分)
Applied Statistics 应用统计学或统计学
Computer Programming 计算机编程语言, 比如C++ 或者JAVA
纽约大学金融数学为例
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熟练掌握计算机编程技巧, 比如C++
以及熟悉计算机和计算管理软件
？ Strong quantitative background强有力的数理背景, including coursework in:包括以下课程 linear algebra线性代数, multivariate calculus多元微积分, differential equations微分方程, numerical methods数值方法, advanced statistics and probability高级统计学和概率论, 包含以下主题which includes the following topics: discrete distributions离散分布, continuous distributions连续分布, density functions密度函数, sampling theory抽样法理论, statistical inference统计推断, hypothesis testing假设检验/测算, ordinary least squares普通最小二乘法,等内容 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)数学工具比如MATLAB
？ Work or research experience in a quantitative discipline (recommended, but not required)
？ Progress towards obtaining CFA certification建议学生要为获得CFA做好准备
？ Experience with statistical and econometric applications (recommended)建议要有统计学和计量经济学的应用经历
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