新加坡国立大学的金融工程硕士有哪些可以申请

Risk Management Institute风险管理学院

Master of Science (Financial Engineering)金融工程

专业介绍：

金融工程理学硕士（MFE）是一个多学科计划，将金融，数学和计算与实际方向相结合，以解决金融问题。MFE由新加坡国立大学金融工程中心于1999年推出，该中心是RMI的前身。它旨在为金融和银行业专业人士以及应届毕业生提供金融创新和技术方面的现有知识和技能。领域知识包括金融产品开发，价格建模，对冲，投资技术，风险分析和计算方法。

有MFE课程可供选择，而RMI MFE通过努力塑造学生成为“实干家” - 具有解决复杂财务问题所必需的理论背景和解决这些问题的实用技术诀窍的人而脱颖而出。

RMI是推动风险管理挑战创新解决方案的全球领导者。我们提供的环境可以创造新的创意，并将创新的解决方案付诸实践。我们于2009年7月推出的旗舰非营利性信用研究计划将信用评级视为“公共产品”，并以维基百科的精神接近评级方法开发。今天，RMI为全球100多个经济体中超过35,000家上市公司提供每日更新的默认预测。作为RMI的MFE学生，您将有一个独特的机会来磨练研究技能，并为建立世界金融基础设施的关键部分做出贡献。

MFE学位由新加坡国立大学颁发，由RMI管理。其教学人员包括新加坡国立大学各部门的学术人员，如金融系，数学系，统计学和应用概率系，以及金融业从业人员。这是一个多学科的计划，它吸取了新国大学各个院系的既定优势。一些模块由相关领域的资深银行家和工业家共同教授。还有一个选修模块，将在一周内以密集的速度进行，将在海外进行。以前的海外模块由牛津大学，普林斯顿大学和滑铁卢大学主办。

开学时间：

新加坡国立大学MFE计划每年有一次入学，每年八月入学。该计划作为全日制课程，兼职课程以及远程学习课程提供。

申请要求：

Goo 4-year unergrauate egree or an honours egree.

Goo TOEFL* or IELTS* score if English was not the meium of instruction in unergrauate stuies.

GMAT* or GRE* score (optional).

良好的4年制本科学位或荣誉学位。

如果英语不是本科学习的教学媒介，那么优秀的托福或雅思成绩。

GMAT *或GRE *分数（可选）

申请费：50新币

学费：48000新币

申请成功的学生平均成绩：

Acaemic Qualification

Average GMAT Total: 706 Average GRE:

· Quantitative 168

· Verbal 156

· Analytical Writing 3.6

Average TOEFL: 104

Average IELTS Overall Ban Score: 7

Highest Level of Degrees Earne

· Bachelor's: 97%

· Master's an PhD: 3%

Locations of Unergrauate Institutions: 9

课程介绍：

要从该计划毕业，每位候选人需要完成40个模块学分。在课程中，五个是核心（必修）模块和一个核心金融工程项目。至少有四个选修模块可以从十四个中选出，尽管有些选修课可能不会每年提供。除非另有说明，否则所有模块均为4个模块化积分（MC）。

候选人必须在第一年至少完成三个模块。所有考生只有在完成五个必修单元或完成同一学期或学期的剩余必修单元后才能参加金融工程项目单元。

毕业时需要最低累积平均点（CAP）3.00。

单击下面的每个模块以获取更多信息。

必修课程

FE5101 Derivatives an Fixe Income 衍生工具和固定收益

Basic theories of futures, options, an swaps pricing. Funamental concepts of no arbitrage equilibrium an also risk premia. Heging techniques an the Greeks. Fixe Income securities analytics. Yiel curve analyses. Extensions to asset-backe securities an asset securitization issues. Structure notes an embee options. Corporate ebts an convertibles.

期货、期权和掉期定价的基本理论。无套利均衡和风险溢价的基本概念。对冲技术和希腊人。固定收益证券分析。收益率曲线分析。资产支持证券和资产证券化问题的扩展。结构化注释和嵌入选项。公司债务和可转换债券。

FE5107 Risk Analyses an Management 风险分析和管理

Market risk. Value-at-Risk measures an problems. Parametric historical, an simulations VAR. Alternative securities risk an erivatives risk measurements. Delta-normal VARs an applications to ifferent proucts. Creit risks an measurements. Liquiity, operational risk, legal risk, settlement risk, moel risk, tax risk an others, Stress testing, Accounting an legal compliance. Some existing moels an Risk Management best practices.

市场风险。风险价值措施和问题。参数历史和模拟变量替代证券风险和衍生产品风险度量。三角法变容器及其在不同产品上的应用。信用风险和度量。流动性、操作风险、法律风险、结算风险、模型风险、税务风险和其他风险、压力测试、会计和法律合规性。一些现有的模型和风险管理最佳实践。

FE5110 Financial Engineering Project 金融工程项目

Stuents are encourage to work on a project relate to an actual problem at work involving financial engineering solutions. Otherwise stuents coul work on a new prouct or process iea, or a etaile case stuy. The report about 60x ouble-space A4 pages incluing appenixes shoul be carefully written an submitte.

鼓励学生从事与实际工作问题有关的项目，包括金融工程解决方案。否则，学生可以研究一个新的产品或过程想法，或者一个详细的案例研究。应仔细编写并提交包括附录在内的60x双行距A4页面的报告。

FE5112 Stochastic Calculus an Quantitative Methos 随机微积分和定量方法

This moule will cover the funamental concepts of stochastic calculus as well as quantitative methos that are relevant to financial engineering. The topics inclue Wiener processes, stochastic integrals, stochastic ifferential equations, Ito’s lemma, the martingale principle an risk neutral pricing. It will also cover important topics in linear algebra an optimization.

本单元将介绍随机微积分的基本概念以及与金融工程相关的定量方法。主题包括维纳过程，随机积分，随机微分方程，伊藤引理，鞅原理和风险中性定价。它还将涵盖线性代数和优化中的重要主题。

FE5116 Programming an Avance Numerical Methos 编程和高级数值方法

This moule will cover both computer programming an numerical methos. On the programming sie, this moule will cover Octave language. The emphasis will be given to programming to solve financial engineering problems. On the numerical methos sie, this moule will cover finite ifference, iscretization an Monte Carlo simulation methos.

该模块将涵盖计算机编程和数值方法。在编程方面，该模块将涵盖Octave语言。 将重点放在编程以解决金融工程问题。 在数值方法方面，该模块将涵盖有限差分，离散化和蒙特卡罗模拟方法。

FE5209 Financial Econometrics 金融计量经济学

The statistical moelling an forecasting of financial time series, with application to share prices, exchange rates an interest rates. Market microstructure. Specification, estimation an testing of asset pricing moels incluing the capital asset pricing moel an extensions; Moelling of volatility. Practical application of volatility forecasting. Estimating continuous time moels.

金融时间序列的统计建模和预测，适用于股价，汇率和利率。市场微观结构。资产定价模型的规范，估算和测试，包括资本资产定价模型和扩展; 波动率模型。 波动率预测的实际应用。 估计连续时间模型。

选修课程

FE5103 Equity Proucts an Exotics 股权产品和异国情调

Covere warrants, equity warrants an options, subscription rights, stock inex futures an options, an other equity erivatives. Issues of pricing an heging. Institutional constraints. Portfolio management an other investment strategies. Path-epenent options such as Asian options, barrier options, lookback options, an forwar-start options. Sprea options, rainbow options, quantos, exchange options, basket options, as-you-like options, power options, igital options, an others. Pricing techniques an risk management purposes.

涵盖认股权证，权益认股权证及期权，认购权，股指期货及期权及其他股本衍生工具。定价和对冲问题。制度约束。投资组合管理和其他投资策略。路径相关选项，例如亚洲选项，障碍选项，回顾选项和前向启动选项。点差选项，彩虹选项，量子，交换选项，购物篮选项，如您喜欢的选项，电源选项，数字选项等。定价技术和风险管理目的。

FE5105 Corporate Financing an Risk 企业融资和风险

Financial Markets an Instruments. Management of foreign exchange, money market, an erivatives esks. Asset-Liability management. Regulatory issues. Corporate Valuation, restructuring, leverage buyouts, mergers an acquisitions. Issues of eal structures an management of cashflows.

金融市场和工具。管理外汇、货币市场和衍生品交易台。资产负债管理。监管问题。公司估值、重组、杠杆收购、兼并和收购。交易结构和现金流管理问题。

FE5108 Portfolio Theory an Investments 投资组合理论与投资

Portfolio Optimisation Theory. Capital Asset Pricing Moels. Arbitrage Pricing Theories. Factor Moels. Market Neutral Strategies. Abnormalities an Market Mispricing. Asset Allocation an Dynamic Portfolio Optimization. Portfolio Insurance Problems, an Global Funs Management.

投资组合优化理论资本资产定价模型。套利定价理论。因子模型。市场中性策略。异常与市场错误定价。资产配置和动态投资组合优化。投资组合保险问题和全球基金管理。

FE5208 Term Structure an Interest Rate Derivatives 期限结构和利率衍生品

This moule will cover both term structure moels as well as the valuations of interest rate erivatives. The topics covere inclue Vasicek , Ho-Lee, Cox-Ingersoll-Ross (CIR), Heath-Jarrow-Morton (HJM) an LIBOR market moels. On the numerical sie it will cover Black-Derman-Toy (BDT) an Hull-White moels as well as some simulation methos.

本单元将涵盖期限结构模型以及利率衍生工具的估值。涵盖的主题包括Vasicek，Ho-Lee，Cox-Ingersoll-Ross（CIR），Heath-Jarrow-Morton（HJM）和LIBOR市场模型。 在数值方面，它将涵盖Black-Derman-Toy（BDT）和Hull-White模型以及一些模拟方法。

FE5210 Research Methos in Finance 财务研究方法

This moule aims to facilitate stuents in eveloping the basic skills for inepenent research, an to promote their motivations an interests in fining an solving problems. During the stuy of a research question, stuents are to emonstrate their progress in acquiring techniques, an to evelop presentation skills incluing effective oral communication an scientific research report writing. Offerings of this moule in ifferent years may have ifferent areas of focus.

本单元旨在帮助学生培养独立研究的基本技能，并促进他们寻找和解决问题的动机和兴趣。在研究问题的过程中，学生将展示他们在获取技术方面的进展，并发展演讲技巧，包括有效的口头交流和科学研究报告撰写。这个模块在不同年份的产品可能有不同的重点领域。

FE5211 Seminar in Financial Engineering 金融工程研讨会

Topics relating to financial engineering.

与金融工程有关的主题。

FE5215 Seminar in Financial Prouct Innovations 金融产品创新研讨会

New topics an areas in financial proucts evelopment an market applications.

金融产品开发和市场应用的新主题和领域。

FE5216 Financial Technology Innovations Seminar 金融技术创新研讨会

New topic an areas in financial technologies incluing information technology applications, electronic commerce, an other electronic applications to finance problems.

金融技术的新主题和领域，包括信息技术应用，电子商务和其他电子应用，以解决问题。

FE5217 Seminar in Risk Management an Alternative Investment 风险管理和另类投资研讨会

Topics woul cover various alternative investments an risk management.

主题将涵盖各种替代投资和风险管理。

FE5218 Creit Risk 信用风险

The course consists of two parts - (i) statistical creit rating moels an (ii) creit erivatives. The first part woul cover various statistical creit rating moels incluing Altman’s Z-score, logistic regression, artificial neural network an intensity moels. The secon part will cover various moels use to price creit erivative as well as tools use to manage creit risk. The topics covere woul inclue real an risk neutral probabilities of efault, RiskMetricsTM, CreitRisk+, efault correlation, Copula, Basket efault swap, CDOs etc.

该课程由两部分组成 - （i）统计信用评级模型和（ii）信用衍生工具。第一部分将涵盖各种统计信用评级模型，包括Altman的Z评分，逻辑回归，人工神经网络和强度模型。第二部分将介绍用于定价信用衍生品的各种模型以及用于管理信用风险的工具。涵盖的主题包括违约的实际和风险中性概率，RiskMetricsTM，CreitRisk +，默认关联，Copula，篮子默认交换，CDO等。

FE5219 Creit Analytics Practicum 信用分析实习

This moule will provie stuents with the opportunity to work on real-worl problems in quantitative creit analysis. The moule will be project base within either a research or inustry environment. Stuents will gain a etaile knowlege of the project subject matter, along with an overall unerstaning of quantitative creit analysis.

The projects will be group-base with up to three stuents in a group. Most of the groups will be base in RMI’s Creit Research Initiative, an stuents can also source for an external company to host their projects. This is a 6 Moular Creits (MCs) moule.

该模块将为学生提供在量化信用分析中解决实际问题的机会。该模块将基于研究或行业环境中的项目。学生将获得项目主题的详细知识，以及对量化信用分析的全面理解。

这些项目将以小组为基础，一组中最多有三名学生。大多数小组将以RMI的信用研究计划为基础，学生也可以寻找外部公司来主持他们的项目。这是一个6 Moular Creits（MCs）模块。

FE5221 Traing Principles & Funamentals 交易原则和基本原则

This moule aims to familiarize the stuents with the reality of traing within the financial markets environment. Beyon the pure traing principles, it covers the many aspects of traing ecisions, in terms of risk control an limits, market an economic ata an information, overall portfolio management, practical market stanars an conventions, specificities of erivatives traing, traing styles an techniques to manage specific market situations. This is a 2 MCs moule.

This moule shoul prepare stuents to better grasp traing an financial markets an allow them to become effective in a work environment in a recor short time.

本单元旨在让学生熟悉金融市场环境中的交易现实。除了纯粹的交易原则，它涵盖了交易决策的方面，包括风险控制和限制，市场和经济数据和信息，整体投资组合管理，实际市场标准和惯例，衍生品交易的特殊性，交易风格和技术。管理特定的市场情况。这是一个2 MCs模块。

该模块应该帮助学生更好地掌握交易和金融市场，使他们能够在短时间内在工作环境中发挥作用。

FE5222 Avance Derivatives Pricing 高级衍生产品定价

This moule will cover the avance topics relate to erivative pricing, incluing stochastic ifferential equations, martingale representation theorem an risk-neutral pricing, the change of numeraire argument an pricing of pathepenent options (e.g. barrier, lookback, an Asian options), optimal stopping an American options, jump iffusion processes an stochastic volatility for option pricing.

本单元将涵盖与衍生品定价相关的高级主题，包括随机微分方程，鞅表示定理和风险中性定价，计价参数的变化和路径依赖选项的定价（例如障碍，回顾和亚洲期权），最优停止和期权定价的美式期权，跳跃扩散过程和随机波动率。

FE5223 Introuction to Electronic Financial Market 电子金融市场简介

The funamentals of financial market technologies an functionality in the Front-, Mile- an Back-offices, the interepenencies of their systems, typical user interfaces, through to typical system architecture will be taught. Principals of algorithmic traing will also be covere, an stuents will be challenge to esign solutions for real-market traing strategies. This is a 2 MCs moule.

将教授前台，中台和后台的金融市场技术和功能的基础知识，系统的相互依赖性，典型的用户界面，以及典型的系统架构。算法交易的负责人也将受到保护，学生将面临为实际市场交易策略设计解决方案的挑战。这是一个2 MCs模块。

FE5224 Current Topics in Applie Risk Management 应用风险管理的当前主题

The global financial crisis triggere a set of structural changes that continue to play out in market microstructure an market architecture. Practitioners, on both the buy-sie an sell-sie, are in the mist of responing to new regulations aroun bank capital, operational risk, supervision an other non-market factors. The backrop is complicate further by apparent isinflation, greater potential for event risk, macro-pruential interventions an in places, negative interest rates. The risk management context is also coloure by innovation in ‘fintech’ an cyber-risk. Each year, the course will focus on a subset of these topics base on what is most “current”. The objective is to give stuents the ability to take the epth of technical skills acquire in core moules an apply them to the immeiate context of potential employers. This is a 2 MCs moule.

全球金融危机引发了一系列结构性变化，这些变化继续在市场微观结构和市场架构中发挥作用。在买方和卖方方面，从业者正在响应有关银行资本，操作风险，监管和其他非市场因素的新规定。通过明显的通货紧缩，更大的事件风险可能性，宏观审慎干预以及负利率，背景更加复杂。风险管理背景也受到“金融科技”和网络风险创新的影响。每年，该课程将根据最“最新”的内容重点关注这些主题的一部分。目标是让学生能够掌握核心模块中获得的技术技能的深度，并将其应用于潜在雇主的直接背景。

FE5225 Machine Learning an FinTech 机器学习和FinTech

Targete at grauate stuents with a strong interest in financial engineering topics, the course introuces the state-of-the-art machine learning approaches, from DNN to topic moeling, an the key concepts in Fintech, from cryptocurrencies to sentiment analysis. Besies lectures, AI acaemic researchers an inustry professionals are invite to come to share their latest research, their unerstanings an outlooks of the main technologies behin machine learning an their applications in financial services.

该课程针对对金融工程专题有浓厚兴趣的研究生，介绍了最先进的机器学习方法，从DNN到主题建模，以及Fintech的关键概念，从加密货币到情感分析。除了讲座外，还邀请AI学术研究人员和行业专业人士前来分享他们的最新研究，他们对机器学习背后的主要技术及其在金融服务中的应用的理解和展望。

FE5226 C++ in Financial Engineering C ++金融工程

The course covers C++ basic constructs (loops, variables, operators, an functions), built-in libraries, ata structures, templates an object oriente programming techniques. It evelops logical thinking aime at esigning algorithms to solve specific problems. Concepts are illustrate by examples rawn from the financial engineering omain. The course will ultimately provie with an overview of the components of a moern risk management system.

本课程涵盖C ++基本构造（循环，变量，运算符和函数），内置库，数据结构，模板和面向对象的编程技术。它开发了逻辑思维，旨在设计解决特定问题的算法。通过金融工程领域的示例说明概念。该课程最终将概述现代风险管理系统的组成部分。

FE5227 Commoities: Funamentals an Moelling 商品：基础和建模

Targeting at grauate stuents with a strong interest in commoities topics, the course introuces the funamental principles of the energy (oil, coal an gas) an har (ferrous an base metals) commoity markets. Supply an eman ynamics for each market will be iscusse, as well as the pricing structure an mechanism for each market.

We will also iscuss typical financial ervitives (forwar, future, swap, options an more exotic proucts) use by commoity market players for traing an heging risks. Their features, applications an pricing methos will be iscusse in etails.

该课程针对对商品主题有浓厚兴趣的研究生，介绍了能源（石油，煤炭和天然气）和硬（黑色金属和贱金属）商品市场的基本原则。将讨论每个市场的供需动态，以及每个市场的定价结构和机制。

我们还将讨论商品市场参与者用于交易和对冲风险的典型金融衍生品（远期，期货，掉期，期权和更具异国情调的产品）。他们的功能，应用和定价方法将详细讨论。