As an Actuarial Science Capstone Certificate Program student, you will learn from globally recognized faculty in the Risk and Insurance Department, as well as industry leaders in actuarial science, risk management, and insurance.
Our inspired learning experience will enable you to build your professional network and to get hired into your first job as an actuary. You also will gain valuable insights, knowledge and connections by participating in Actuarial Club and Risk Management and Insurance Society events.
While you are in the program, you also can get a head start on building your actuarial career by meeting with career advisors, attending the Risk and Insurance Career Fair, and participating in on-campus interviews.
The Capstone Certificate in Actuarial Science is an accelerated program. As a full-time student, you can expect to complete the program in two semesters.
After you complete 15 credits of the coursework listed below, you will receive a transcript indicating you have been awarded a Capstone Certificate in Actuarial Science.
You may also elect to take additional courses fulfilling the Validation by Educational Experience (VEE) requirements of the Casualty Actuarial Society (CAS) or Society of Actuaries (SOA). Visit beanactuary.org to learn more about VEE requirements.
Advanced problems in the mathematical theory of life contingencies; force of mortality, laws of mortality; premiums and reserves for insurance and annuities based on a single life.
Definition and selection of probability distributions appropriate for insurance data that are heavily tailed and skewed.
Application of calculus to compound interest; interest compounded discretely and continuously; force of interest functions; annuities payable discretely and continuously; bonds and yield rates.
*Students who have passed SOA/CAS exam FM/2 are not required to take Act Sci 303.
Choose at least one of the following:
Continuation of Act Sci 650. Joint life probabilities, annuities and insurances; multiple‐decrement theory; pension fund mathematics.
Continuation of Act Sci 652. Estimation of parameters of probability distributions appropriate for insurance data that are heavy tailed and skewed; assessment of credibility of data for rate making.
Linear regression and correlation; generalized linear regression models; introduction to time series; time series model building and forecasting with focus on data of interest to actuaries.
Introduction to the broad area of health, integrating how researchers from multiple perspectives have investigated various aspects of health, along with the hands‐on practice of learning and using statistical tools to analyze these topics.
You may take additional related courses with faculty consent.
Wisconsin School of Business
Risk and Insurance Department
5252A Grainger Hall
975 University Ave
Madison, WI 53706
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Warm regards,Admissions Team
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