Course curriculum

  • 2

    1. Problem Specification

    • 1. Data Science & Actuaries: A Practical Overview Webinar (Ref 1.1)

    • 4. Insurtech and Actuarial & Finance Functions - what do we need to know? (Ref 1.4)

    • 6. Insurtech: application of image, video and audio technology innovations (Ref 1.6)

    • 7.1 Beyond Theoretical Data Science: A Benchmarking of Actuarial Departments White Paper (Ref 1.7.1)

    • 7.2 Beyond Theoretical Data Science: A Benchmarking of Actuarial Departments Presentation Slide Deck (Ref 1.7.2)

    • 9. Investigating Applications of Data Science in UK and non-UK Actuarial Teams Webinar (Ref 1.9)

    • 8. The Impact of the 4th Industrial Revolution on the Role of the Actuary - Webinar (Ref 1.8)

  • 3

    2. Data Collection/Management

    • 1. Machine Learning Application for Non Life Pricing and Profitability Analysis (Ref 2.1)

    • 2. Are we in the era of actuarial data science modelling? (Ref 2.2)

    • 3. Digitalising the actuarial operating model: the future of work is here: Webinar (Ref 2.3)

  • 4

    3. Model Building and Model Validation

    • 1. The Evolving Role of the Actuary (a South African Perspective) (Ref 3.1)

    • 2. The power of computational notebooks: introducing Jupyter Webinar (Ref 3.2)

    • 4. Machine Learning Application for Non Life Pricing and Profitability Analysis (Ref 3.4)

  • 5

    6. Reporting/Explainability

    • 1. Explainable Machine Learning Webinar (Ref 6.1)

    • 2. Interpretable Machine Learning Webinar (Ref 6.2)

  • 6

    11. Wider Themes