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出国留学的宝宝在申请金融工程时,必看的课程要求!

时间:2018-12-19 栏目:留学资讯 关注度:137
出国留学申请金融工程卡耐基梅隆大学纽约大学金融工程

以哥伦比亚大学为例>>>马上咨询金融工程专业申请条件

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>>>马上咨询金融工程专业申请条件
       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.>>>马上咨询金融工程专业申请条件

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>>>马上咨询金融工程专业申请条件
       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>>>马上咨询金融工程专业申请条件

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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