纽约大学金融工程硕士课程设置

随着人们经济水平的提高，对于很多家庭来说，出国留学不再是一个可望而不可及的事情，许多人都想要出国，那其中纽约大学金融工程硕士课程设置？针对这个问题，下面中国教育在线小编就来和大家分享一下。

Introduction to Derivative Securities;

Quantitative Methods in Finance;

Valuation for Financial Engineering;

从以下课程中选择2门：

Financial Economics;

Financial Risk Management;

Machine Learning in Financial Engineering;

二、专业分支课程：4个专业分支，每个专业分支9门课(13.5学分)

(一)Corporate Finance and Financial Markets

1.从以下课程中选择9门课程

Money, Banking and Financial Markets;

Extreme Risk Analytics;

Financial Econometrics;

Investment Banking and Brokerage;

Financial Market Regulation;

Applied Derivative Contracts;

Econometrics and Time Series Analysis;

Corporate and Financial Strategy;

Contract Economics;

MergersAcquisitions;

Fixed Income Securities and Interest Rate Derivatives ;

Behavioral Finance;

Credit RiskFinancial Risk Management;

Asset-backed Securities and Securitization;

Global Finance;

Quantitative Portfolio Management;

Selected Topics in Financial Engineering ;

Algorithmic Portfolio Management;

Topics in Finance and Financial Markets I ;

Topics in Risk Finance I;

Topics in Financial and Risk Engineering I ;

Topics in Financial and Risk Engineering 2;

2.推荐实验室课程：Financial Econometric Laboratory;

(二)Computational Finance

1.从以下课程中选择9门

Extreme Risk Analytics ;

NumericalSimulation Techniques in Finance;

Dynamic Assets and Options Pricing;

Financial Risk Management and Optimization;

Econometrics and Time Series Analysis;

Credit RiskFinancial Risk Management;

Quantitative Portfolio Management;

Selected Topics in Financial Engineering ;

Special Topics in Financial Engineering;

Statistical Arbitrage;

Topics in Risk Finance I;

Topics in Financial and Risk Engineering I;

Topics in Financial and Risk Engineering 2;

2.推荐实验室课程：从以下课程中选择1门

Computational Finance Laboratory;

Financial Computing;

(三)Technology and Algorithmic Finance

1.从以下课程中选择9门课程

Extreme Risk Analytics;

Clearing and Settlement and Operational Risk;

NumericalSimulation Techniques in Finance ;

Behavioral Finance ;

Derivatives Algorithms ;

Financial Computing;

Statistical Arbitrage;

Forensic Financial Technology and Regulatory Systems;

Big Data in Finance ;

Algorithmic Portfolio Management ;

Algorithmic TradingHigh-frequency Finance ;

News AnalyticsStrategies ;

Topics in Finance and Financial Markets I;

Topics in Risk Finance I ;

Topics in Financial and Risk Engineering I;

Topics in Financial and Risk Engineering 2;

2.推荐实验室课程：从以下课程中选择1门

R in Finance;

Financial ComputingFRE-GY6883, 3 Credits

(四)Risk Finance：从以下课程中选择9门课程

1.专业分支课程

Extreme Risk Analytics ;

Insurance Finance and Actuarial Science;

Financial Econometrics ;

Clearing and Settlement and Operational Risk ;

Static and Dynamic Hedging ;

Financial Market Regulation;

Actuarial Models ;

Applied Derivative Contracts ;

Financial Risk Management and Optimization ;

Econometrics and Time Series Analysis ;

Fixed Income Securities and Interest Rate Derivatives;

Credit RiskFinancial Risk Management ;

Market Risk Management and Regulation;

Sp Tpc in Applied Credit DerivativesSecuritization;

Special Topics in Financial Engineering;

Topics in Risk Finance I;

2.多样的特殊主题课程：

Extreme RiskFractional Finance;

Financial Cyber Risks Management;

Topics in Real Time TradingRisk Management;

Topics in Financial Risk Management;

Topics in Advanced Credit Risk and Derivatives;

Topics in Actuarial and Insurance Finance;

Topics in Financial Analytics and Big Data;

Topics in Financial Regulation and Compliance;

Financial Risk Management and Incomplete Markets;

Financial Risk Measurement;

3.推荐实验室课程：从以下课程中选择1门

Financial Software Laboratory;

Financial Econometric Laboratory;

Computational Finance Laboratory;

Financial Software Engineering Laboratory;

R in Finance;

Financial Computing;

4.1门终极课程capstone experience

5.终极课程评估Capstone assessment

6.布隆伯格证书Bloomberg Certification

以上就是“纽约大学金融工程硕士课程设置”的全部内容了，希望小编整理的资料能帮助到考生。如果想要了解更多相关资讯，欢迎关注留学频道，为您提供更多精彩内容。

免费领全球留学白皮书，了解各大学报考条件、费用、开学时间、含金量

（一）由于考试政策等各方面情况的不断调整与变化，本网站所提供的考试信息仅供参考，请以权威部门公布的正式信息为准。

（二）本网站在文章内容来源出处标注为其他平台的稿件均为转载稿，免费转载出于非商业性学习目的，版权归原作者所有。如您对内容、版 权等问题存在异议请与本站联系，我们会及时进行处理解决。"