Master the art of financial modeling and analytics with a Financial Mathematics Modeling and Predictive Analytics certificate
These days, the financial industry runs on data. And employers need professionals who can harness the power of data to help them make smarter financial decisions. The Chang School’s Certificate in Financial Mathematics Modeling and Predictive Analytics gives you the exact tools you need to enter this fast-growing field – and succeed.
Our financial modeling courses teach you everything you need to know about stochastic modeling, a financial model that helps businesses and organizations make informed investment and trading decisions. You’ll master the skills needed to understand and implement powerful financial models, including financial mathematics, statistics, and advanced mathematical computation. You’ll learn all about the complex inner workings of the financial markets as well.
Predictive analytics courses are also included. This kind of advanced data analytics training will help you perform analyses for stock market trading and produce financial predictive economic forecasts. You’ll finish off your financial modeling certification with two capstone courses that allow you to develop your own individual projects based on your area of interest.
Once you know how to manage these advanced financial modeling tools, you can pursue all kinds of roles in the financial industry, from financial data analyst and risk manager to quantitative analyst and fund manager. Already working in economics, mathematics, science, engineering, or finance? Gaining expertise in financial mathematics modeling and predictive analytics can take your career to the next level.
We make getting there as stress-free as possible: you can finish all your financial modeling courses on your own schedule, plus you can do it in as little as three semesters.
So let’s learn how to develop those data models – and develop the financial career of your dreams, starting now.
Who should take this Financial Mathematics Modeling and Predictive Analytics certificate?
- You’re a technically trained professional with a background in mathematics, economics, science, engineering, or finance, who wants more career advancement
Note: Review of your curriculum vitae via email by the academic coordinator is required for entry into this program.
What will you learn while taking the Financial Mathematics Modeling and Predictive Analytics certificate?
You’ll learn how to:
- Perform modeling and computation for financial products, risk analysis, and portfolio optimization
- Apply advanced mathematical algorithms and 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 tools, including:
- stochastic processes and probability
- statistics
- computation, simulation, and implementation of models
Career Options
This certificate can prepare you for jobs like:
- Auditor
- Economist
- Financial data analyst
- Financial investment consultant
- Fund managers
- Model developer
- Quantitative analyst
- Risk assessment analyst
- Risk manager
Certificate Requirements
- 4 required courses
- Cumulative grade point average (GPA) of 1.67+
Admission Criteria
Recommended:
- Mature student status and evidence of university-level coursework in mathematics, economics, and/or finance, or equivalent as determined by the academic coordinator
OR
- Mature student status and other relevant qualifications or relevant industry experience as determined by the academic coordinator
Admission: review of your curriculum vitae via email by the academic coordinator is required for entry into this program
Send your curriculum vitae by email to:
- Academic Coordinator Sebastian Ferrando at ferrando@torontomu.ca
- Engineering, Architecture, and Science Program Director Anne-Marie Brinsmead at a2brinsm@torontomu.ca
If you’re an undergraduate student, you should be aware of possible certificate restrictions. For complete details, check Curriculum Advising.
Questions?
Contact Client Services ce@torontomu.ca
