What you'll study
This isn’t your traditional masters degree in Actuarial Science. We have developed a course that not only helps you qualify as an Associate Actuary, but also teaches you the in-demand data analysis skills that employers look for.
Our students come from a variety of different backgrounds, so we allow you to tailor the programme to your needs. Depending on your educational and professional background, what you choose to study might look a bit different. We’ve included a few of our typical pathways below:
I have prior training in Actuarial Science
If you’ve already completed all or most of the IFoA Core Principles, you can jump straight into studying for the Core Practices CP1, CP2 and CP3. This is what’s at the heart of this programme.
With the Actuarial Risk Management I and II modules, you will cover the same content as Actuarial Practice (CP1). After that, your final dissertation project will meet the requirements of Modelling Practice (CP2) and Communication Practice (CP3) from the IFoA syllabus.
I have no prior training in Actuarial Science
If you’re new to the subject, it is also possible to work towards selected exemptions from the IFoA Core Principles. Successful completion of our Actuarial Mathematics and Actuarial Statistics modules will provide you with exemptions to the IFoA’s CM2 and CS2 examinations respectively.
I am interested in developing data analysis skills
This is one of the standout features of our MSc. In addition to Actuarial Mathematics, we will also train you as a data analyst. Depending on your interests and background, you’ll choose from modules in financial engineering, asset and liability modelling, advanced machine learning, financial data analytics, neural networks and deep learning and computational statistics with R.
By developing essential skills in both actuarial science and data analytics, you’ll be ready to work in a wide variety of well-paid roles.
