Foundation Requirements
Mathematics: Students must have completed three semesters of advanced calculus. Students who enter the program without sufficient background in probability and/or financial mathematics should take AS 8140 and/or AS 8230 among their actuarial electives.
Statistics: Students have completed two semesters of undergraduate mathematical statistics.
AS 8140 – Probability
This course covers univariate probability distributions, including the binomial, negative binomial, geometric, hypergeometric, Poisson, uniform, exponential, gamma, and normal; multivariate joint distributions; conditional and marginal distributions; moments and generating functions; transformations of random variables; order statistics; and the central limit theorem.
AS 8230 – Financial Mathematics
This course covers topics including measure of interest, accumulation and discount, force of interest, equations of value, annuities, perpetuities, loan amortization, yield rate, bonds and securities, duration and convexity, immunizations, determinants of interest rates, the term structure, and interest rate swaps.
Elective Courses
Choose two from the following:
ECON 8740 – Applied Statistics and Econometrics
This course develops basic knowledge of applied statistics and applied econometrics with particular emphasis on the relationship between economic variables. The first part of the course reviews statistical measures, random variables, and probability distributions. It will examine the role of a random sample and estimation and testing of parameters. The second part will introduce estimation approaches such as simple ordinary least squares and then multiple regression. These techniques will be applied to real data for the purpose of policy analysis in areas as diverse as health, labor markets, finance, development, and taxation.
MSA 8010 – Data Programming for Analytics
This course builds upon the student’s foundation of programming principles through the introduction of application programming for data analysis. Major areas covered include inheritance and polymorphism, common programming data structures, and file and database access. Students will implement data analysis applications, which will be evaluated according to advanced programming principles. The programming language will be noted in the course listing for each semester.
RMI 8400 – InsurTech: New Technologies in Insurance Markets
This course will explore how technology is changing the pricing, processes, and products in insurance markets. Participants will use lectures, case discussions, guest speakers, and student presentations to learn about areas in which technology is transforming insurance markets.
AS 8510 – Mathematical Finance for Actuaries
This course covers the mathematical finance portion of the Society of Actuaries’ curriculum that corresponds to SOA Exam IFM. Topics include risk-weighted returns, the Capital Asset Pricing Model and factor models, discrete and continuous-time pricing of financial derivatives including the binomial model and the Black-Scholes formula, and delta-gamma hedging. The course focuses on actuarial and insurance applications and on computational questions similar to those in Exam IFM.