Subjects overview
This program can be completed in 8 months (2 semesters)
This program can be completed in 8 months (2 semesters)
Students must complete the following seventy credit points (70CP) of subjects.
The aim of the Actuarial Control Cycle 1 and 2 is to provide students with an understanding of how the underlying actuarial principles can be applied to a range of real-world problems and issues in commercial and business environments. Applications will include various insurance practice areas and wider fields. Examples will be drawn from traditional and non-traditional areas to illustrate and establish the underlying actuarial principles in a problem-based learning approach, using case studies and business-based examples to cover contemporary issues. This subject, Actuarial Control Cycle 1, introduces the concept of the Actuarial Control Cycle and uses it as a framework to analyse the impact of issues such as legislative changes and technological changes on the firm.
Read moreThe aim of the Actuarial Control Cycle 1 and 2 is to provide students with an understanding of how the underlying actuarial principles can be applied to a range of real-world problems and issues in commercial and business environments. Applications will include various insurance practice areas and wider fields. Examples will be drawn from traditional and non-traditional areas to illustrate and establish the underlying actuarial principles in a problem-based learning approach, using case studies and business-based examples to cover contemporary issues. This subject, Actuarial Control Cycle 2, is the sequel to Actuarial Control Cycle 1. The focus is on advanced applications of the Actuarial Control Cycle framework to a broad array of business issues.
Read moreThis advanced subject provides an opportunity for students to work on an applied research project in actuarial science. Students will work on a topic motivated by recent developments and innovations in actuarial industries or more generally in the financial services markets.
Read moreThis advanced subject provides an opportunity for students to work on an applied research project in actuarial science. Students will work on a topic motivated by recent developments and innovations in actuarial industries or more generally in the financial services markets.
Read moreThis subject covers the theory and practice of modern statistical learning, regression and classification modelling. Techniques covered range from traditional model selection and generalised linear model structures to modern, computer-intensive methods including generalised additive models, splines and tree methods. Methods to handle continuous, ordinal and nominal response variables and assessment of fit via cross-validation and residual diagnostics are also considered. All techniques will be investigated via practical application on real data using the statistical software package R.
Read moreStudents must choose ten credit points (10CP) of undergraduate subjects from across the University.
Students may choose from all postgraduate subjects across the University that are available as general electives.
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Take the guess work out of planning your study schedule. Your program's study plan has been carefully curated to provide a clear guide on the sequential subjects to be studied in each semester of your program. Your study plan is designed around connected subject themes to equip you with the fundamental knowledge required as you progress through your course.