Explore the Interconnection of Investing and Quantitative Analysis
Next start date
September 2017
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.
Discover how to apply cutting-edge tools and techniques to extract meaning from data sets ranging in size from gigabytes to petabytes.
Increase your knowledge in applied mathematics and complement your area of expertise, whether your career is in engineering, manufacturing, education or research.
Learn how to enhance investment returns by studying portfolio construction as well as asset and financial risk management methods.
Explore the key mathematical, statistical and econometric foundations of modern computational finance. Study the major concepts and theories of portfolio optimization and risk management.
Study the fundamentals of R programming. Learn the structure and organization of the R environment and practice accessing and running R packages.