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Actuarial Mathematics Course
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Actuarial Mathematics Course

5

Master the mathematical foundations of actuarial science, from probability theory and life contingencies to loss models and policy reserves. This course equips you with the rigorous analytical tools required for actuarial credentialing and professional practice. Whether you are preparing for qualifying exams or advancing your career in insurance or pensions, this is the comprehensive program you need.

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What you will learn:

You will develop a thorough command of life table theory, life insurance and annuity valuation, premium calculation principles, and policy reserve methods. The course covers individual and aggregate loss models, classical ruin theory, credibility theory, and advanced topics including multi-state Markov models and stochastic interest rates. You will also study financial mathematics, statistical methods, reinsurance structures, and actuarial technology tools. Supplementary material addresses professional ethics, actuarial standards of practice, and effective communication of actuarial findings. Every topic is grounded in the notation, methods, and frameworks used in real actuarial work.

How you study in practice Actuarial Mathematics Course

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Actuarial Mathematics

  • Lesson 1 • Multivariate Probability Concepts

    Examines joint, marginal, and conditional distributions for multiple random variables. Supports later modeling of correlated risks and aggregate losses.

  • Lesson 2 • Probability Theory Essentials

    Covers sample spaces, events, conditional probability, and independence. Establishes the probabilistic language used throughout all actuarial models.

  • Lesson 3 • Time Value of Money

    Develops interest accumulation, present value, and discount factors. Forms the financial backbone for pricing and reserving calculations.

  • Lesson 4 • Random Variables and Distributions

    Introduces discrete and continuous random variables and their key distributions. Provides the distributional toolkit underlying loss and survival models.

  • Lesson 5 • Actuarial Notation and Conventions

    Standardizes the symbolic language used in actuarial science. Ensures students can read and write actuarial formulas accurately from this point forward.

Chapter 2See details

Life Table Theory and Mortality Models

  • Lesson 1 • Fractional Age Assumptions

    Covers uniform distribution of deaths, constant force, and Balducci assumptions. Enables interpolation of mortality between integer ages.

  • Lesson 2 • Life Table Construction

    Explains the columns of a standard life table and how each is derived. Students learn to build tables from mortality rates and interpret each quantity.

  • Lesson 3 • Analytical Mortality Laws

    Presents parametric mortality models including Gompertz, Makeham, and Weibull laws. Provides closed-form alternatives to tabular mortality data.

  • Lesson 4 • Select and Ultimate Mortality Tables

    Distinguishes select mortality (recently underwritten) from ultimate mortality. Prepares students to use select-and-ultimate tables in insurance pricing.

  • Lesson 5 • Survival and Hazard Functions

    Defines the survival function, hazard rate, and their mathematical relationships. These functions are the core building blocks of all life contingency models.

Chapter 3See details

Life Insurance Valuation

  • Lesson 1 • Variable and Increasing Benefits

    Values insurance contracts with benefits that change over time. Introduces (IA)x and (DA)x notation for increasing and decreasing benefit structures.

  • Lesson 2 • Whole Life Insurance Models

    Derives the expected present value (APV) of whole life insurance benefits. Connects survival functions and interest theory to produce pricing formulas.

  • Lesson 3 • Multiple Life Insurance Models

    Extends single-life models to joint-life and last-survivor statuses. Enables valuation of products covering two or more lives simultaneously.

  • Lesson 4 • Multiple Decrement Models

    Models competing risks such as death, disability, and withdrawal. Students derive decrements and associated insurance values in a multi-state framework.

  • Lesson 5 • Term and Endowment Insurance

    Extends valuation to n-year term and pure endowment contracts. Students apply these building blocks to construct more complex insurance products.

Chapter 4See details

Life Annuity Valuation

  • Lesson 1 • Whole Life and Temporary Annuities

    Derives APVs for whole life and n-year temporary annuities in discrete and continuous forms. Establishes the annuity-insurance relationship central to premium calculation.

  • Lesson 2 • Annuity Approximations and Woolhouse Formula

    Introduces the Woolhouse formula and UDD-based approximations for mthly annuities. Bridges tabular annual data to practical monthly payment calculations.

  • Lesson 3 • Annuities with Varying Payments

    Values annuities with arithmetically or geometrically changing payment amounts. Extends standard annuity models to inflation-adjusted retirement products.

  • Lesson 4 • Deferred and Certain-and-Life Annuities

    Covers annuities with deferred start dates and guaranteed minimum payment periods. Prepares students to price retirement income products with complex structures.

  • Lesson 5 • Joint-Life and Last-Survivor Annuities

    Applies joint-life and last-survivor statuses to annuity valuation. Enables pricing of spousal and reversionary annuity products.

Chapter 5See details

Premium Calculation Principles

  • Lesson 1 • Gross Premium Calculation

    Incorporates expense loadings into premium calculations to produce gross premiums. Connects theoretical pricing to real-world product development.

  • Lesson 2 • Premium Variance and Loss Variables

    Analyzes the variance of the loss-at-issue variable for various contract types. Supports risk quantification and capital requirement estimation.

  • Lesson 3 • Special Premium Structures

    Examines limited-payment, return-of-premium, and modified premium designs. Prepares students to price non-standard products encountered in practice.

  • Lesson 4 • Percentile and Portfolio Percentile Premiums

    Introduces percentile-based premium principles as alternatives to the equivalence principle. Enables setting premiums that satisfy solvency probability targets.

  • Lesson 5 • Equivalence Principle and Net Premiums

    Defines the equivalence principle and derives net premiums for standard contracts. Establishes the foundational pricing rule used throughout actuarial practice.

Chapter 6See details

Policy Reserves and Liabilities

  • Lesson 1 • Retrospective Reserve Method

    Computes reserves as accumulated past premiums minus accumulated past benefits. Demonstrates equivalence with the prospective method under consistent assumptions.

  • Lesson 2 • Prospective Reserve Method

    Defines the prospective reserve as the APV of future benefits minus future premiums. Derives reserve formulas for whole life, term, and endowment contracts.

  • Lesson 3 • Modified Reserves

    Covers full preliminary term and Commissioner's method reserve modifications. Addresses the new-business strain problem in statutory reserving.

  • Lesson 4 • Reserves Under Multiple Decrements

    Extends reserve calculations to policies with multiple exit causes. Prepares students to value disability, pension, and lapse-sensitive products.

  • Lesson 5 • Reserve Recursion and Interpolation

    Develops year-by-year recursion formulas linking successive reserves. Enables efficient reserve computation and supports cash flow testing.

Chapter 7See details

Loss Models and Risk Theory

  • Lesson 1 • Credibility Theory

    Applies limited fluctuation and Buhlmann credibility to blend individual and group experience. Supports experience rating and premium adjustment in practice.

  • Lesson 2 • Risk Measures and Capital Requirements

    Defines Value-at-Risk, Tail Value-at-Risk, and related coherent risk measures. Connects loss distributions to regulatory capital and economic capital frameworks.

  • Lesson 3 • Aggregate Loss Models

    Combines frequency and severity models to produce aggregate loss distributions. Enables portfolio-level risk quantification for pricing and capital purposes.

  • Lesson 4 • Individual Loss Models

    Develops models for single-claim severity using parametric distributions. Provides the distributional foundation for pricing and reserving individual policies.

  • Lesson 5 • Classical Ruin Theory

    Analyzes the probability of insurer insolvency using the Cramer-Lundberg model. Provides theoretical insight into surplus dynamics and safety loading.

Chapter 8See details

Advanced Topics in Actuarial Mathematics

  • Lesson 1 • Multi-State Markov Models

    Generalizes life contingency models to multiple states using Markov chains. Enables valuation of disability, long-term care, and critical illness products.

  • Lesson 2 • Embedded Options in Insurance Products

    Values policyholder options such as guaranteed annuity rates and surrender benefits. Applies option pricing concepts to quantify the cost of contractual guarantees.

  • Lesson 3 • Stochastic Interest Rate Models

    Introduces random interest rate scenarios and their effect on present value distributions. Prepares students to quantify interest rate risk in insurance liabilities.

  • Lesson 4 • Pension Mathematics and Funding Methods

    Applies actuarial methods to defined benefit pension plan valuation and funding. Students compute normal costs and actuarial liabilities under standard funding methods.

  • Lesson 5 • Simulation Methods in Actuarial Science

    Uses Monte Carlo simulation to model complex actuarial quantities without closed-form solutions. Bridges analytical methods with computational approaches used in practice.

Certification

Your valid completion certificate

This course is for you:

  • Math or statistics undergraduate: building credentials toward an actuarial career path.

  • Career changer from finance: seeking structured entry into insurance risk roles.

  • Pension analyst without formal training: formalizing the theory behind daily work.

  • Graduate student in applied mathematics: adding actuarial depth to quantitative skills.

  • Insurance underwriter: wanting to understand the pricing models behind risk decisions.

  • Self-taught probability enthusiast: ready to apply mathematical skills to real-world insurance problems.

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