For the safety of our community, UWPCE programs will be taught remotely for the 2020-21 academic year.
Explore the Interconnection of Investing and Quantitative Analysis
Next start date:
September 2021
Computational finance brings together the power of computing and statistical analysis with the principles of finance and investment management. This four-course certificate program examines the mathematical, statistical and econometric principles that underlie the quantitative management of financial investments. You’ll study the mechanisms of investment science, investigate portfolio optimization and asset management, and build models of risk and return. You’ll also receive an in-depth introduction to using the R statistical programming language for financial modeling and analysis.
Experienced professionals looking to advance their career in computational finance, those who have completed the Quantitative Fundamentals of Computational Finance certificate program, or those with a degree in a related field preparing to pursue graduate study.
For more information, visit the Computational Finance Certificate website.
“The program was great because there were other people who were in career transition, like I was, and really pivoting into a brand new world. So it was a great way for me to network with other people.”
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Explore the key mathematical, statistical and econometric foundations of modern computational finance. Study the major concepts and theories of portfolio optimization and risk management.
Learn methods of applying mathematics to different fields in this top-ranked interdisciplinary program. Gain skills that complement your area of expertise.
Gain valuable knowledge and skills relating to portfolio optimization, financial data science, quantitative risk management, simulation, machine learning and R programming.
Learn how to analyze financial data using statistical techniques; leverage the powerful financial data modeling and analysis capabilities of popular programming languages.
Learn how to apply cutting-edge tools and techniques to extract meaning and value from complex data. .
Learn how to combine economics and data science to solve economic problems and improve business decisions.
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