MS in Financial Engineering & Risk Analytics Program

MS in Financial Engineering & Risk Analytics

This unique, interdisciplinary program offers a balance between an overall understanding of finance and an opportunity to focus on specialized interests to provide both breadth and depth in the educational experience.

The MS focused on Financial Engineering & Risk Analytics (FERA) provides students with the knowledge and skills to respond to changes and challenges that characterize the fast-changing world of Financial Technology.

Learn cutting-edge financial theory as well as advanced analytical techniques that are key to success as a financial expert. Students will be exposed to emerging concepts, practices and techniques in the finance industry through rigorous training in empirical research and modeling, using a variety of professional databases and computer software applications.

The program is 1 year and 30 credits.

Basic Foundation Courses Three (3) Courses in the Field Accounting for Reporting and Control Economics and Institutions Financial Management I Mathematical and Statistical Foundations for Finance* *prerequisite for non-business and non-technology undergraduate degrees Advanced Corporate Finance Financial Management II Financial Trading and Investing International Finance Investments I Options, Futures and Derivatives Markets

General Track

Any Four (4) Courses Applied Regression Analysis Computational Finance Data Analysis Econometrics Advanced Econometrics Entrepreneurial Finance Financial Econometrics Modeling Financial Markets and Institutions Financial Mathematics and Simulation Financial Simulation Financial Statement Analysis Forcasting and Simulation Financial Econometrics Modeling or Data Analysis Introduction to Neural Networks Introduction to Numerical Methods for Differential Equations Investments II Mathematical Statistics Linear Programming Nonlinear Programming Numerical Computing Probability Theory and Applications Risk Management Statistical Analysis Time Series Analysis Topics in Applied Mathematics

Quantitative Analysis Track

Any Four (4) Courses Computational Finance Financial Econometrics Modeling Financial Markets and Institutions Financial Mathematics and Simulation Financial Simulation Introduction to Financial Mathematics and Engineering Introduction to Numerical Methods for Differential Equations Linear Programming Numerical Computing Risk Management Time Series Analysis Topics in Applied Mathematics

Financial Risk Analysis Track

Any Four (4) Courses Entrepreneurial Finance Financial Econometrics Modeling Financial Markets and Institutions Financial Statement Analysis Hedge Funds and Financial Markets Advanced Hedge Funds and Financial Markets Linear Programming Risk Management

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