可能,但是难度会比较大,要有心理准备哦!毕竟金融工程和普通的商科还是不一样的,对GRE的成绩要求会比较高!如果你真的决定去啦,那就可以开始准备了,首先你要找专业资深人士咨询一下,给你推荐新通教育,语培和留学一站式解决,方便省心,可以关注私信小编!下面给你推荐一些美国比较好的有金融工程专业的学校以及这些学院对学生的要求,希望对你有帮助!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(http://ieor.columbia.edu/files/seasieor/industrial-engineering-operations-research/pdf-files/FE_Prereq.pdf)概率论probability,微积分 calculus 线性代数 linear algebra如果是金融数学(http://www.math.columbia.edu/mafn/) 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卡耐基梅隆大学 Strong academic performance in a depth of mathematics and probability coursework强有力的有深度的数学和概率论课程 Experience with C or C++ programming C语言或者C++ A strong interest in a career in the quantitative finance field Candidates are required to have completed the following pre-requisite coursework: Calculus I and II 微积分1和2 Differential equations 微分方程 Linear algebra线性代数 Calculus-based probability 以微积分为基础的概率论 C or C++ programming C语言或者C++ 金融工程排名第一的纽约巴鲁克学院课程要求: Prerequisites. Applicants are required to have taken the following minimal set of courses: Calculus (two semesters)2个学期的微积分 Probability (one semester)1个学期的概率论 Linear Algebra (one semester)1个学期的线性代数 C++ (one semester or certificate)1个学期或者1个证书 C++ Finance (one semester, or relevant work experience) 建议要在本科之内最好是申请的时候或之前, 完成以下课程微积分Calculus 最好是有深度的 不仅仅是一个学期而已 概率论 Probability 统计学Statistics 而不是简单的Business Statistics 线性代数Linear Algebra 多元微积分multivariate calculus 微分方程differential equations 编程语言Programming学会C++或者JAVA 二选一; 最好是C++ 学会MATLAB 还有数学建模如果这些条件不能达到或者不能完全达到,那么可能到时候申请STEM金融硕士的可能性会更大一些,商学院STEM金融硕士的数理要求没有金融数学/金融工程那么变态.
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