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Are you a professional with a technical background looking to gain expertise in stochastic modeling (financial model that is used to help make investment decisions)? This certificate will help you reach a level of mathematical and computational sophistication to understand and implement powerful financial models.

You will also attain financial mathematics proficiency in the areas of stochastic processes and probability, statistics, and computation as well as gain an understanding of the highly complex operations of financial markets. If you have a background in economics, mathematics, science, engineering, or finance, this program can help you advance or change your career.

Industry and Careers

This certificate can lead to career paths in roles such as:

  • Auditor
  • Economist
  • Financial data analyst
  • Financial investment consultant
  • Fund managers
  • Model developer
  • Quantitative analyst
  • Risk assessment analyst
  • Risk manager

Who Should Take This Certificate?

  • Technically trained professionals who have a background in mathematics, economics, science, engineering, or finance, and are seeking career advancement, portability, and longevity*

*Note: an interview/placement assessment with the academic coordinator is required for entry into this program.

What Will You Learn?

After completing this certificate, you will able to:

  • Perform modeling and computation for financial products, risk analysis, and portfolio optimization
  • Determine the value of financial derivatives and complex investments
  • Apply advanced mathematical techniques to analyze and model solutions to real-life financial and economic problems in professional industries such as the financial markets and the energy sector
  • Apply the following tools:
    • stochastic process and probability
    • Statistics
    • computation, simulation, and implementation of models
       

Certificate Requirements

  • 4 required courses
  • Cumulative grade point average (GPA) of 1.67+
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Admission Criteria

Recommended:

  • Mature student status and evidence of university-level coursework in mathematics, economics, and/or finance, or equivalent (to be determined by the academic coordinator)

OR

  • Mature student status and other relevant qualifications or relevant industry experience (to be determined by the academic coordinator) 

Admission Interview/Placement Assessment

An interview/placement assessment is required for this program. Please contact the Academic Coordinator, Sebastian Ferrando, at ferrando@torontomu.ca and Anne-Marie Brinsmead, Program Director, Engineering, Architecture, and Science, at a2brinsm@torontomu.ca.

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