Quantitative Methods in Finance Graduate Certificate

Stanford School of Engineering

  • Graduate Certificate
  • Fee:
    Fee may apply



As of March 1st, 2019 this certificate is no longer available, but is still recognized by Stanford University. Students who earned this certificate completed five courses from the four listed to the right.

If you participated in the program and would like to access your records of completion, please contact Student & Client Services at scpd-information@stanford.edu.

Statistical methods and models for forecasting future market movements and default probabilities of loans and forward contracts, together with economic theories and quantitative methods for investments, have empowered investors and other professionals to cope with complex investment decisions and to manage market, credit and operational risks.

This certificate program introduces mathematical and statistical models and methods in financial markets and shows how these methods can be combined with domain knowledge in finance for financial analysis and decision making.

You Will Learn

  • Apply regression analysis to the Capital Asset Pricing Model and multifactor pricing models
  • Use analytic tools, such as time series modeling and forecasting, to tackle rapidly changing financial markets
  • Develop financial strategies based on algorithmic trading and statistical arbitrage

Who Should Apply

  • Financial officers
  • Venture funding professionals
  • Entrepreneurs and start-up founders
  • Engineers with financial responsibilities

Earning the Certificate

  • Begin your certificate any academic quarter that an applicable course is offered, subject to prerequisites
  • Take three courses for graduate credit and a grade
  • Maintain a B average (GPA of 3.0) or better

Compared to the "Financial Risk Analysis and Management" Certificate, the "Quantitative Methods in Finance" focus is tailored more broadly toward Financial Portfolio Managers and Analysts focused on a comprehensive introduction to statistical financial modeling, time series forecasting, and quantitative trading strategies.


  • A background in probability, regression modeling, matrix algebra, real data analysis and investment science.
  • Basic courses at the level of STATS 116 and STATS 200, and basic programming skills at the level of CS106.
  • A conferred Bachelor’s degree with an undergraduate GPA of 3.5 or better.


To pursue a graduate certificate you need to apply.


$11,340 (9 units)
to complete the certificate


For course tuition and fees, please click
Tuition & Fees

Time to Complete Certificate

1-2 years average
3 years maximum to complete


Student Spotlights


Stanford University Statistics Department


Submit an inquiry to receive more information.