3 Courses Required

As of March 1st, 2019 this certificate is no longer available, but is still recognized by Stanford University. Students who earned this certificate completed three 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.

Overview

This certificate program begins with an overview of the theory of investment portfolios and derivative securities, interest rate and credit markets, banking and bank regulations. A series of case studies illuminate systemic risk due to the evolution of modern financial engineering, and introduces a multidisciplinary approach to tackle relevant policy and strategy issues. Exploring cutting-edge financial models and statistical methods for active risk management, this certificate gives you the tools you need to prepare for and weather financial crisis and regulatory reforms.

Additional Details

You Will Learn

  • Assess and prepare for uncertainties in markets, commodities pricing, exchange rates, and contract fulfillment
  • Better invest cash reserves, and contract for loans and credit in ways that balance risk and expected returns
  • Understand and assess the levels of risk to better guide your investment decisions or required contract terms

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 courses for graduate credit and a grade
  • Maintain a B average (GPA of 3.0) or better

Compared to the "Quantitative Methods in Finance" Certificate, the "Financial Risk Analysis and Management" focus is tailored primarily for Financial Risk Managers with a multi-disciplinary interest in both quantitative risk measures and modern regulatory requirements.

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Prerequisites

  • 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.

 

Tuition

Tuition is based on the number of units you take. See our Tuition & Fees page for more information.

Time to Complete Certificate

1-2 years average
3 years maximum to complete

Courses