Actuarial Management with Data Science

Course description

Data Science (machine learning) uses computer algorithms to build models of the future. Our MSc in Actuarial Management with Data Science will enable you to develop the skills to build and apply such models in an actuarial context.

In addition, the degree is fully accredited with the Institute and Faculty of Actuaries in the UK for actuarial subjects: CP1, CP2, CP3, SP2, SP4, SP5, SP6 and SP9. Studying subject SP9 leads to the internationally recognised Certified Enterprise Risk Actuary (CERA) qualification.

These subjects cover a variety of areas including life insurance, risk management, investment, derivatives, pensions, communication and modelling. Combining your choice of these with your development in machine learning skills will prepare you well for the modern world. You choose the combination that works for you.

Completing this degree gets you close to qualification as an actuary, with only one or two exams left to complete after leaving university. It typically speeds up your qualification by one or two years.

**Our Expertise** Your learning will be informed by the expertise of our research-active academics whose work covers four the following key areas:

• Leveraging machine learning algorithms for enhanced risk modelling and uncertainty quantification
• Asset-liability management and investment strategies
• Leveraging advanced data science techniques to extract insights and predict outcomes for actuarial applications
• Enterprise risk management frameworks and applications
• Pension fund design, financing, and risk management
• Data analytics for insurance and financial risk assessment

**Your learning environment** In the MSc Actuarial Management with Data Science programme, you will receive instruction from academic experts and qualified actuaries, instructing through a variety of methods, including lectures, tutorials, practical sessions, and self-directed study. This approach fosters strong connections with our teaching staff and fellow students. A key component of the programme is the integration of data science techniques, allowing you to gain proficiency in advanced analytics and machine learning methods applicable in actuarial work. Your assessments will include coursework, exams, and project work, with continuous feedback to aid in your development. Throughout your studies, you will have access to outstanding facilities, including:

• Specialized software such as advanced Excel, R and Python to enhance your technical skills in modelling, data analysis, and simulation.
• The Maths Gym: a physical space at our Edinburgh and Dubai campuses where students can book one-to-one support appointments or attend drop-in sessions and workshops.
• Dedicated study spaces and PC labs for both independent and group work.
• The Grid: A ground-breaking facility designed to create cohesion between leading academic research, business and entrepreneurship.

Subjects