美国金融数学/数学金融/金融工程专业就业前景如何，平时都学习什么课程呢?相信这是很多想申请美国金融数学/数学金融/金融工程研究生的学生想了解的内容。下面就给大家详细解析这个专业。

　　金融工程Finance Enginerring:Learning methods for monitoring financial markets and evaluating financial assets and organi

　　金融工程Finance Enginerring:Learning methods for monitoring financial markets and evaluating financial assets and organization是研究如何监督，管理，评估金融市场，金融工具以及金融机构的一门学科。

　　如果你缺乏一个直观的认识，那么举几个金融工程/数学金融里面的题目框架出来。

　　Theories and Practice of Risk Management研究风险管理(risk management)以及模拟证券投资(simulate equity investment)的基本理论。

　　Evaluation and Measurement of Organizational Performance依据公司的财务金融数据(股价，公司债券价格等等)研究公司(corporate) 和证券市场( security market) 的关系研究非营利机构的金融管理。

　　Methodology of Evaluation评估的方法，理论，发展。

　　计量金融(Quantitative Finance)专为金融市场而设的一门应用数学。计量金融本义上与金融经济学的范畴有密切的关系，然而前者所涉及的领域比较狭隘，理念也比后者抽象。一般而言，若金融经济学家研究一所企业当前股价的结构性原因，数学家(或计量金融学家)所做的便是利用当前股价作参考，利用或然率微积分去计算并取得相关衍生工具的公平价格(应值价格)。

　　毕业出来能做什么样的工作careers排除人脉，门道，运气等等因素，根据国际金融工程研究会报：

　　QUOTE:

　　Financial engineers use the skills they acquire during their degree programs toward a broad selection of careers in finance, including the trading of securities, financial modeling, sales, risk management and portfolio management. We believe that the skill sets acquired in a financial mathematics masters program are sufficiently broad to prepare students for many interesting fields. Moreover as it is increasingly recognized in financial firms that computational and mathematical skills are critical to the success of all organizations, the market for students with financial mathematics degrees continues to broaden.

　　In the 2002 Survey, 38% of students stated that they want a career in some sort of job related to derivatives pricing, while 21% said risk management and 18% said trading derivative instruments (14% of students did not respond).

　　It's vey likely a student in FE becomes an expert at evaluation such as a "certified accountant (CPA)", a "financial analyst (CFA and CMA)", a "valuation actuary", an "estate surveyor", or managing positions at companies, governments, educational organizations, and NPOs including religious corporations.

　　学这些专业需要怎样的背景background

　　并非只有金融，数学，经济，统计，经济计量的的人才能申请这个专业的硕士和博士。

　　从伯克利大学的统计数据上看，除了以上专业，背景是计算机，物理，化学的人也可以申请并被录取。

　　但有几个对于申请的有利条件

　　1，数学理论和应用数学/工程学(pure and applied mathematics and engineering)

　　2，经济，金融基本知识

　　3，计算机能力

　　4，对金融市场，工具，机构强烈的兴趣

　　有哪些学校提供这些专业

　　这个专业在美国最多;英国，澳大利亚也有;欧洲不是很多。

　　Ball State University

　　BS Financial Mathematics

　　Baruch College

　　Masters of Science in Applied Mathematics for Finance

　　Bogazici University

　　MS Financial Engineering

　　Boston University

　　MA Mathatical Finance

　　Polytechnic University

　　MS Financial Engineering

　　Carnegie Mellon University

　　MS Computational Finance

　　Carnegie Mellon University

　　PhD Mathematical Finance

　　Cass Business School

　　MS Mathematical Trading and Finance and

　　MS in Finance, Economics and Econometrics

　　City University of Hong Kong

　　MS Financial Engineering

　　Claremont Graduate University

　　MS Financial Engineering

　　Columbia University

　　MS Financial Engineering

　　MA, Mathematics, with specialization in the Mathematics of Finance

　　MS, Industrial Engineering and Operations Research

　　Financial Engineering courses available

　　Cornell University

　　MBA Financial Engineering

　　Cornell University

　　M. Eng in Operations Research & Industrial Eng.

　　DePaul University

　　MS Finance/Risk Management/Financial Engineering

　　Dublin City University - Ireland

　　MS Investment and Treasury

　　MSc Financial & Industrial Mathematics

　　Erasmus University Rotterdam

　　Master in Quantitative Finance

　　FAME: International Center for Financial Asset Management and Engineering - Geneva

　　Executive Education Program, including courses in Alternative Investments and Financial Engineering.

　　Florida State University

　　MS & PhD Financial Mathematics

　　George Washington University

　　MS, Finance

　　Georgia Institute of Technology

　　MS Quantitative and Computational Finance

　　Georgia State University

　　Mathematical Risk Management

　　Glasgow Caleonian University

　　BS Financial Mathematics

　　HEC, Montreal

　　MS Financial Engineering

　　Illinois Institute of Technology

　　MS Finance

　　MS Financial Markets

　　Imperial College of Science, Technology and Medicine

　　MSC Mathematics and Finance

　　James Madison University

　　BS Quantitative Finance

　　Johns Hopkins University Graduate School of Business

　　MS Finance

　　The Karol Adamiecki Academy of Engineering

　　MS Financial Engineering and Banking

　　Kent State University

　　MS Financial Engineering

　　Lavel University

　　MS Financial Engineering

　　London Business School

　　Masters in Finance

　　Massachusetts Institute of Technology

　　MBA with Financial Engineering Track

　　Multimedia University, Malaysia

　　Bachelor of Financial Engineering

　　Nanyang Technological University

　　MS Financial Engineering

　　National University of Singapore

　　BS and MS Financial Engineering

　　New York University

　　MS Statistics and Operational Research, Financial Engineering Specialization

　　New York University, Courant Institute of Mathematical Sciences

　　MS Mathematics in Finance

　　North Carolina State University

　　MS, Financial Mathematics

　　Northwestern University

　　MS, Industrial Engineering and Management Sciences

　　Financial Engineering Concentration available

　　Oklahoma State University

　　MS Quantitative Financial Economics

　　Princeton University

　　MSE, Ph.D Operations Research and Financial Engineering

　　Purdue University

　　MS Computational Finance

　　Rutgers Business School

　　Master of Quantitative Finance

　　MS Quantitative Finance

　　Rutgers University (New Brunswick/Piscataway campus)

　　MS in Mathematical Finance

　　Stanford University

　　MS, Financial Mathematics

　　MS, Management Science & Engineering

　　Stevens Institute of Technology

　　Graduate Certificate in Financial Engineering

　　MS, Financial Engineering

　　State University of New York at Buffalo

　　MS, Finance

　　University of Alabama

　　MA in Banking and Finance

　　University of California at Berkeley

　　MS Financial Engineering

　　Certificate in Financial Engineering, Executive Education

　　University of Chicago

　　MS Financial Mathematics

　　University of Connecticut

　　MS Applied Financial Mathematics

　　University of Dayton

　　Masters of Financial Mathematics

　　University of Edinburgh

　　in partnership with Heriot Watt University

　　MS Financial Mathematics

　　University of Florida

　　Warrington College of Business Administration

　　MS, Finance

　　University of Hong Kong

　　Masters of Finance - Financial Engineering and Risk Management Tracks

　　University of Illinois at Urbana-Champaign

　　College of Business

　　MS, Finance

　　University of Karlsruhe

　　MSc, Financial Engineering

　　University of London

　　Birbeck College

　　M.Sc. in Financial Engineering

　　University of Michigan

　　Financial Engineering Program

　　University of Manchester

　　Manchester Business School

　　M.Sc. Quantitative Finance

　　University of North Carolina, Charlotte

　　M.S. Mathematical Finance

　　University of Oxford

　　Diploma in Mathematical Finance

　　University of Pretoria

　　MS Mathematics of Finance

　　University of Reading

　　ISMA Centre, the Business School for Financial Markets

　　MS Financial Engineering and Quantitative Analysis

　　University of Rochester

　　Simon School of Business Administration

　　MS, Finance

　　University of Southern California

　　Professional MS in Mathematical Finance

　　University of St. Gallen

　　Master Quantitative Economics and Finance

　　University of Technology, Sydney

　　Master of Quantitative Finance

　　University of Torino, Italy

　　Masters in Quantitative Finance

　　University of Toronto

　　Master of Mathematical Finance

　　University of Tulsa

　　MS in Finance / Risk Management

　　University of Twente, the Netherlands

　　Masters in Financial Engineering

　　University Of Valencia, Spain

　　PhD, Quantitative Finance

　　University of Warwick

　　MS Financial Mathematics

　　University of Waterloo

　　Mathematical Finance

　　University of the Witwatersrand-Johannesburg

　　MCom Finance

　　Virginia Commonwealth University

　　Bachelor of Science in Financial Technology

　　Vrije Universteit Amsterdam, Universiteit Utrecht & Universiteit van Amsterdam

　　MSc in Stochastics and Financial Mathematics

　　York University

　　MS Financial Engineering

　　如何在学校之间做出选择

　　1,课程设置：

　　课程是否全面，是否涵盖了数学，计算机，金融，是否可以为你以后的就业，提供一个坚实的学术基础。如果你本身金融知识薄弱，可以重点看那些通过选课，增加金融理论和应用课程学习的学校。

　　可能会有的课很多很多，比如：

　　INTRODUCTION TO FINANCIAL ENGINEERING:

　　FINANCIAL ENGINEERING,

　　FINANCIAL ECONOMICS,

　　MANAGEMENT SCIENCE,

　　NONPROFIT AND GOVERNMENTAL ACCOUNTING,

　　CORPORATE AND MARKET SIMULATION,

　　COUNTRY RISK ANALYSIS,

　　PROJECT EVALUATION,

　　BUSINESS ANALYSIS AND VALUATION,

　　POPULATION DYNAMICS,

　　MICRO ECONOMY

　　QUANTATIVE ECONOMIC ANALYSIS

　　COMPLEXITY AND GAME THEORY,

　　EVALUATION AND ASSESSMENT OF EDUCATION,

　　MODERN MATHEMATICS,

　　MATHEMATICAL PHENOMENA,

　　NUMERICAL ANALYSIS,

　　MATHEMATICS FOR INFORMATICS

　　MATHEMATICAL MODELS

　　MULTI-VARIABLE STATISTICAL ANALYSIS,

　　INTRODUCTION TO TIME-SERIES ANALYSIS,

　　STATISTICAL ANALYSIS,

　　DATABASE ARCHITECTURE

　　1，课程设置是否符合专业需要和你的需要

　　2,理论和实践的时间安排

　　课程是否包括了理论和实践(真实案例)两部分，并有机结合在一起？

　　3，院系实力

　　排名如何?是否有很有实力的教授讲师。今年是否有高质量的论文/学术成果

　　4，资源和配套设施

　　网络资源，图书馆，软件，数据库等等

　　5，实习机会

　　学校是否提供实习计划，是否有知名公司来该校应聘

　　6，校友会

　　一个强有力的校友会，会拓展你的视野和思路，也给你很多信息和机会。

　　通过上面对美国金融数学/数学金融/金融工程信息的解读，相信对于很多计划申请美国金融数学/数学金融/金融工程的学生可以参考上面的信息来提前做好申请美国研究生的准备和规划。

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