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This course covers the actuarial professional associateship syllabus for actuarial data science principles. It combines data analytics and modelling concepts with practical applications of modern analytical tools and techniques, focusing on their actuarial applications. This course covers the key iterative steps involved in building a model: business understanding, data understanding and preparation, modelling, evaluation, communication, and deployment. The course emphasises selecting appropriate predictive modelling techniques for specific situations and evaluating model suitability considering business context and objectives. Special focus is placed on effectively communicating modelling results to various business decision-making audiences.

Long-term contingent cashflow valuation is fundamental for actuarial work, especially for life-, disability- and health insurance, pensions and superannuation. They are also increasingly applied in broader areas in social protection and policy. This course introduces models and techniques from actuarial mathematics combining the present value principles with stochastic modelling, in order to derive the value of contingent cashflows for pricing, reserving, projections and profit testing purposes. The course also covers contemporary management issues in life, health and superannuation products such as longevity, and premium rating. Spreadsheets will be used to perform computations.

This course, along with ACTL4002, corresponds to the Actuarial Control Cycle in the Actuary Program of the Actuaries Institute. This course develops the theory and practice underlying the actuarial management of risk-based and other products offered by financial institutions. The course draws examples from actuarial practice and discusses implications for life insurance, general insurance, superannuation, asset-liability management and other areas where actuaries are involved in product design, pricing, reserving, investment and surplus management. The course emphasises recent developments in actuarial theory and practice.

The aim of this subject is to provide a grounding in the principles of modelling as applied to actuarial work – focusing particularly on stochastic asset liability models and the valuation of financial derivatives. These skills are also required to communicate with other financial professionals and to critically evaluate modern financial theories.

The course will explore traditional adaptations from novel to film, or Shakespeare to screen, alongside translations of texts across different media types, including television, comics, games, and poetry. Students will be encouraged to identify differences and similarities between a text and its adaptation(s), as well as looking beyond the concept of ‘fidelity’ to ask how else an adaptation might be working.

The techniques of data science used to produce predictive and adaptive decision support techniques with particular emphasis on prediction, optimisation and search methods.

Consider and evaluate the extent to which behaviours commonly described as ‘addictive’ – including not only dependence on drugs and alcohol, but also excessive engagement in behaviours such as gambling – are motivated by similar outcomes and reflect the involvement of similar processes. The module will outline individual differences in risk for addiction and consider how these differences interact with features of social environments to predict addiction development and relapse. Lastly, the efficacy of different treatment approaches will be considered.

This subject introduces you to additive manufacturing techniques. The subject introduces parametric software and tests its application through a design project exploring the protocol of additive fabrication. Workshop-based tutorials will develop practical skills with classroom-based instruction to develop the software skills required to design. You will examine the state of the art in the global application of robotics in architecture and critically reflect upon emerging technologies and their impact on design.