Available Courses

An introduction to fundamental probability concepts. Explore discrete and continuous distributions, both the univariate and multivariate variety. Solve problems that span a wide range of scenarios, including insurance.

An introduction to financial mathematics concepts and their application in calculating present and accumulated values across various cash flow scenarios and financial instruments. This foundational knowledge is essential for future tasks such as reserving, valuation, pricing, and more in subsequent exams.

Dig deeper into advanced FM concepts relevant to actuarial work. This exam serves as an introduction to actuarial mathematics in modeling both short-term and long-term coverages. Topics include ratemaking, reserving, contingent payment models, and financial risks.

Equip yourself with the statistical tool and techniques essential for risk modeling. Explore regression analysis, time series, and unsupervised learning. Understand what distinguishes one technique from another, including their strengths and weaknesses.

Apply predictive modeling techniques and data analytics tools to case studies. Learn how to make judgment calls that involve data preprocessing and model evaluation, among other considerations. Develop skillful communication on the subject matter.

Focus on advanced actuarial models for long-term insurance products, such as life insurance, annuities, and pensions. Explore modeling techniques for analyzing insurance liabilities, projecting future cash flows, and assessing the financial health of insurance companies.

Cover models and techniques specific to short-term insurance products, such as property and casualty insurance. Learn about risk assessment, ratemaking, and reserving across various insurance lines like auto and homeowners. Delve into model selection, advanced credibility procedures, and the application of severity and aggregate models.

Delve into the core of actuarial probability theories, covering both discrete and continuous probability distributions, multivariate models, and stochastic processes. Focus on practical applications in insurance, including risk modeling and decision-making under uncertainty. Enhance analytical skills essential in risk assessment and predictive modeling.

Build on your learning in MAS-I and dig deeper into advanced statistical techniques. Explore credibility theory, linear mixed models, advanced statistical learning, and time series modeling. Learn to apply these techniques to model dependence structures, estimate risk parameters, and perform predictive analytics in insurance and finance.

Understand ratemaking and reserving techniques essential for property and casualty insurance. Master methods for estimating claim liabilities and setting insurance rates based on data analysis and actuarial principles. Learn to handle real-world insurance scenarios effectively, emphasizing analytical and decision-making skills within the actuarial field.

We currently plan to release our Exam 6U course in 2025.

Validation by Educational Experience (VEE) is a three-part requirement to obtain your ASA designation from the SOA. VEE credit is obtained through SOA-approved college courses or by SOA-approved online VEE courses like Coaching Actuaries. Available credits are: Microeconomics, Macroeconomics, Accounting, Finance, and Mathematical Statistics.