Quantitative Finance is the quantitative analysis of financial markets and decision-making using statistics and mathematical tools of physics, computer science, and engineering.

Risk Analytics is the application of computational technologies, statistics, and operations research to solve problems of risk assessment and management in finance and business. As global markets become more complex and interdependent, the importance of “quants,” or managers who know how to use quantitative models to understand markets, is growing.

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

Students will:

  • Master cutting-edge financial theory and advanced analytical techniques;
  • Study emerging concepts, practices, and techniques in the finance industry;
  • Conduct empirical research and modelling;
  • Utilize a variety of professional databases and computer software;
  • STEM Certified.

QFRA is an interdisciplinary program across several Rensselaer departments, including:

The Lally School of Management; Computer Science; Information Technology; Applied Mathematics; Industrial & Systems Engineering; and Economics.

The curriculum balances an overall understanding of finance with specialized interests in order to provide both breadth and depth.

Curriculum

M.S. QFRA students can pursue a concentration in the General, Quantitative Finance, or Financial Analysis Track. Thirty credit hours for students with finance or technical undergraduate background. Prerequisites: the Basic foundation of mathematics and statistics. An additional six credit hours of mathematics and statistics required for students with no finance or management background.

Sample M.S. Curriculum

Business Core Classes (Choose two)

  • Financial Markets and Institutions
  • Advanced Corporate Finance
  • Accounting for Reporting and Control
  • Financial Trading & Investing Investments
  • Financial Management II
  • International Finance
  • Financial Statement Analysis

Required QFRA Core:

  • Financial Management I
  • Financial Computation
  • Financial Simulation
  • Financial Modeling
  • Options Futures & Derivatives Markets

Select 2 Electives from Business Skills Area:

  • Financial Markets and Institutions
  • Advanced Corporate Finance
  • Accounting for Reporting and Control
  • Financial Trading & Investing
  • Investments
  • MGMT 6030 Financial
  • Management II
  • International Finance
  • Financial Statement Analysis

Select 1 Elective from Computational Skills Area:

  • Introduction to Econometrics
  • Numerical Computing
  • Introduction to Numerical Methods for Differential Equations
  • Financial Mathematics and Simulation
  • Mathematical Statistics
  • Computational Optimization

Select at least 2 Electives from Technical Skills Area:

  • Risk Management
  • Financial Econometrics
  • Modeling
  • Fixed Income Securities
  • Introduction to Financial Mathematics & Engineering
  • Stochastic Processes & Modeling
  • Probability Theory & Applications
  • Nonlinear Programming
  • Applied Regression Analysis
Program taught in:
English

See 3 more programmes offered by Rensselaer Polytechnic Institute, Lally School of Management »

This course is Campus based
Start Date
Aug. 2019
Duration
Full time
Price
51,000 USD
Estimated Tuition
Deadline
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Start Date
Aug. 2019
End Date
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Aug. 2019

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