C e r t i f i c a t e i n A c t u a r i a l S c i e n c e
Department of Applied Mathematics, University of Washington
Learn the advanced statistical, econometric and mathematical fundamentals needed for success as an actuary, rated 1st according to CareerCast.com.
In the Actuarial Science Certificate with the top-rated Department of Applied Mathematics, you will gain the necessary quantitative modeling and analysis knowledge needed to accelerate your preparation for the actuarial certification exam series, and enter or advance in the actuarial profession.
Who Should Apply
• People with strong undergraduate records in mathematics, statistics, computer science, finance, physical sciences, engineering or economics
• Entry-level actuaries who wish to prepare for certification exams
• Professionals with strong academic and quantitative backgrounds and an interest in actuarial science
An Actuarial Science Certificate will be awarded to individuals who successfully complete the following five courses over five quarters from the MS-Computational Finance and Risk Management curriculum for a total of either 19 or 21 credits:
• AMATH 461: Probability and Statistics for Computational Finance, Kjell Konis, UW Applied Math, 3 credits, Summer 2013
• AMATH 462*: Introduction to Computational Finance and Financial Econometrics, Eric Zivot, UW Economics, 5 credits, Summer 2013
• AMATH 541: Investment Science, Eric Zivot, UW Economics, 4 credits,
• AMATH 544: Options and Derivatives, Steve Golbeck, UW Applied Math,
4 credits, Winter 2014
• AMATH 500: Actuarial Models and Estimation, Kjell Konis, 4 credits,
• AMATH 500: Models for Life Contingencies, Libby MacKinnon, UW Applied Math and an Actuarial Analyst at Milliman Inc., 4 credits, Summer 2014
*The standard course is AMATH 461, but students who already have a solid educational background in probability and statistics will find greater benefit in taking AMATH 462 instead.
Summer Quarter begins Monday, June 24, 2013.
For more information about the Actuarial Science Certificate, please contact:
For information on applying Certificate credits to the Master of Science in Computational Finance and Risk Management or about individual courses:
Laurie Feldman, Graduate Program Advisor