This course is primarily based on lectures and group discussions. Students participating in this senior capstone course are exposed to case studies in Actuarial Science and Financial Mathematics. Students will work in groups to complete various projects such as mortality and lapse studies in insurance and use public data in the Society of Actuaries, Casualty Actuarial Society, and other resources to model and price financial derivatives. Students will apply techniques from previous courses to real-world data using data analytic methods and tools to complete research. The prerequisites of this course are two core actuarial science courses (Math 331 Theory of Compound Interest or Math 336/Econ 390 Introduction to Financial Engineering, and Math 441 Probability) plus one upper-level statistics course offered in the Math Department (Math 341 Statistics Model Analysis, Math 348 Introduction to Statistical Computing) or Econ department (Econ 385 Regression and Simulation for Economics and Management, Econ 450 Econometrics).
| Distribution Area | Prerequisites | Credits |
|---|---|---|
| MATH 331 or MATH 336/ECON 390 and MATH 441 plus MATH 341, MATH 348, ECON 385 or ECON 450 | 1 course |