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卡耐基梅隆大学

美国卡耐基梅隆大学（Carnegie Mellon University）坐落在美国宾夕法尼亚州的匹兹堡，由工业家兼慈善家安德鲁·卡耐基于1900年创建，当时名为卡耐基技术学校，1912年改名为卡耐基梅隆大学，开始向以研究为主的美国重点大学转变。该校拥有享誉全球的计算机学院和戏剧学院，其艺术学院、商学院、工程院以及公共管理学院等也都在全美名列前茅。

世界排名

2019年泰晤士报高等教育全球大学排名中位列世界第24，美国大学排名第1

2019年USNews美国大学综合排名第25

2018年USNews美国大学工程学院排名第6

2018年USnews美国最具创新力大学排名第7

Master of Science

in Computational Finance

项目介绍

卡耐基梅隆大学的Master of Science in Computational Finance 是美国最早开设金融工程专业的大学之一，一直都是申请者竞相追逐的目标。该项目由四大学院联合授课（Tepper商学院、数学系、统计学系、Heinz学院），注重于培养学生的统计、计算机、数学和金融四大领域的能力。

卡耐基梅隆大学的计算机专业在美国与斯坦福和麻理并称美国第一，数学专业也非常出名，而商学院也位居美国最强之列，结合三者特征的金融工程就理所当然成为声明卓著的强专业。很多该专业的教授都是本研究领域的顶级专家。

For 23 years, Carnegie Mellon’s interdisciplinary, top-ranked Master of Science in Computational Finance program has prepared students for highly successful careers in quantitative finance.

Since its founding, Carnegie Mellon University has emphasized cross-disciplinary research and education.  In this innovative tradition,  the MSCF program was formed in 1994 as the interdisciplinary collaboration of the Department of Statistics & Data Science in the Dietrich College of Humanities and Social Sciences, the Heinz College of Information Systemsand Public Policy, the Department of Mathematical Sciences inthe Mellon College of Science and the Tepper School of Business. Thejoint venture between these four colleges enables MSCF to offer a tight integration of statistics, computer science, mathematics and finance - the four disciplines underlying computational finance.

课程设置

该项目的教学重点很好的将理论和实践相平衡。其独特的办学背景保证了该项目在注重高度理论的同时，也能有很强的金融市场实践基础。课程设置合理，循序渐进，其课堂教学也兼具传统和创新两个特点。在最后一个学期，该项目也提供丰富的选修课供学生选择，可以扩宽学生的知识背景。

Students learn traditional finance theoriesof equity and bond portfolio management, the stochastic calculus models onwhich derivative security trading is based and computational techniques such as Monte Carlo simulation, optimization, and the numerical solution of partialdifferential equations, using C++, Python R and Matlab programming. Students take a sequence of courses on modern data science, machine learning and timeseries analysis and apply these methods in courses on asset management, statistical arbitrage, risk management and market microstructure. Project work, some of which is team-based, is emphasized including a capstone course infinancial engineering. A strong emphasis is placed on communication skills throughout the program.

就业情况

Our strong relationships with the world’s largest investment and commercial banks, hundreds of algo trading and quantitative asset managers and our 1,400 well-placed alumni will help you get to where you want to be. Our students’ impressive job placement record, both in summer internships and in full-time jobs, attests to the highregard global financial services firms have for the education we provide.

CMU MSCF是具有顶尖就业率的金工项目。在过去五年间， 99%的CMU MSCF学生都拿到Summer Intern 且94% 在毕业后六个月找到全职工作。