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MS in Business Analytics

MS in Management

MS in QFRA

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The Financial Engineer Ranking

Master of Science in Quantitative Finance and Risk Analytics (QFRA)


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 M.S. focused on Quantitative Finance and Risk Analytics (QFRA) provides students with the knowledge and skills to respond to changes and challenges that characterize the fast-moving world of quantitative finance.

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.

For a list of the financial leaders on our M.S. QFRA Advisory Board, click here.
 

 

Typical Master’s Course Sequence

M.S. QFRA
M.S. in Quantitative Finance and Risk Analytics (QFRA)

Basic Foundation Courses

  • Financial Management I
    Or one of the following:
  • Introduction to Accounting and Financial Management
  • Financial Trading and Investing
  • Investments I
  • Financial Computation
    Or one of the following:
  • Numerical Computing
  • Introduction to Numerical Methods for Differential Equations
  • Financial Modeling
    Or the following:
  • Introduction to Financial Mathematics and Engineering

  • Options, Futures and Derivatives Markets


Concentration Courses: General Track

Any Six (6) Courses

  • Accounting for Reporting and Control
  • Advanced Corporate Finance
  • Advanced Econometrics
  • Applied Regression Analysis
  • Computational Finance
  • Data Analysis
  • Econometrics
  • Financial Econometrics Modeling or Data Analysis
  • Financial Management II
  • Financial Markets and Institutions
  • Financial Mathematics and Simulation
  • Financial Simulation
  • Financial Statement Analysis
  • Financial Trading and Investing
  • Forecasting and Simulation
  • Independent Study
  • International Finance
  • Introduction to Neural Networks
  • Introduction to Numerical Methods for Differential Equations
  • Investments I
  • Investments II
  • Linear Programming
  • Mathematical Statistics
  • Nonlinear Programming
  • Numerical Computing
  • Probability Theory and Applications
  • Risk Management
  • Stochastic Processes in Communication and Control
  • Time Series Analysis

 

Concentration Courses: Quantitative Finance Track

Any Six (6) Courses

  • Advanced Econometrics
  • Applied Regression Analysis
  • Asset Pricing
  • Computational Finance
  • Econometrics
  • Financial Econometrics Modeling
  • Financial Markets and Institutions
  • Financial Mathematics and Simulation
  • Financial Simulation
  • Financial Trading and Investing
  • Independent Study
  • Introduction to Financial Mathematics and Engineering
  • Introduction to Numerical Methods for Differential Equations
  • Investments I
  • Linear Programming
  • Mathematical Statistics
  • Nonlinear Programming
  • Numerical Computing
  • Probability Theory and Applications
  • Risk Management
  • Stochastic Processes in Communication and Control
  • Time Series Analysis


Concentration Courses: Financial Risk Analysis Track

Any Six (6) Courses

  • Accounting for Reporting and Control
  • Advanced Corporate Finance
  • Advanced Hedge Funds and Financial Markets
  • Financial Econometrics Modeling
  • Financial Management II
  • Financial Markets and Institutions
  • Financial Statement Analysis
  • Financial Trading and Investing
  • Hedge Funds and Financial Markets
  • Independent Study
  • International Finance
  • Investments I
  • Linear Programming
  • Risk Management


Course Catalog

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