Course Outline

Module 1: Introduction to Actuarial Science and the Role of Actuaries

• Overview of actuarial science
• Key areas of practice: insurance, pensions, investments, and risk management
• The role and responsibilities of an actuary
• Case Study: Assessing the financial health of a pension plan

Module 2: Probability Theory and Statistics for Actuarial Science

• Basic concepts of probability and statistical distributions
• Probability models for actuarial analysis
• Descriptive statistics and inferential statistics in actuarial work
• Case Study: Applying probability models to insurance claim data

Module 3: Life Contingencies and Survival Models

• Introduction to life tables and survival analysis
• Life contingencies and their applications in life insurance and pensions
• Estimating life expectancy and mortality rates
• Project: Calculating premiums for a life insurance product using survival models

Module 4: Financial Mathematics for Actuaries

• Time value of money, annuities, and perpetuities
• Interest rate models and discounting techniques
• Valuation of insurance products and pension liabilities
• Case Study: Evaluating the present value of a pension fund's future obligations

Module 5: Risk Theory and Risk Models

• Introduction to risk theory and risk assessment
• Measuring risk: VaR, expected shortfall, and other risk metrics
• Loss distributions and aggregate risk models
• Project: Conducting a risk analysis for an insurance company’s portfolio

Module 6: Actuarial Models in Insurance

• Modeling claims frequency and severity
• Premium calculation and loss reserves
• Application of generalized linear models (GLMs) in insurance pricing
• Case Study: Developing an actuarial pricing model for a non-life insurance product

Module 7: Pension Plan Valuation and Assessment

• Types of pension plans: defined benefit vs. defined contribution
• Actuarial valuation of pension liabilities
• Funding ratios and solvency assessments
• Project: Conducting an actuarial valuation for a defined benefit pension plan

Module 8: Health Insurance and Morbidity Models

• Basics of health insurance and medical expense modeling
• Morbidity models and their applications in health insurance
• Pricing health insurance products and managing healthcare costs
• Case Study: Designing a health insurance product using actuarial techniques

Module 9: Actuarial Regulation and Professional Standards

• Regulatory frameworks for actuaries (Solvency II, IFRS 17, etc.)
• Ethical considerations and professional standards in actuarial practice
• The role of actuaries in regulatory compliance and financial reporting
• Project: Preparing an actuarial report in compliance with regulatory standards

Module 10: Advanced Actuarial Techniques and Emerging Trends

• Emerging trends in actuarial science: data analytics, machine learning, and climate risk
• Application of big data and technology in actuarial work
• Future challenges for the actuarial profession
• Final Project: Comprehensive actuarial assessment of an insurance or pension fund, incorporating all the techniques learned throughout the course