If you have a love of mathematics and business but want to work with them in a more applied field, Actuarial Science is a great choice. As well as becoming a professional Actuary, it opens up doors to broader fields including data science and risk management.
Adding a fourth year to your programme will broaden your skillset and expose you to the world of data science which is an exciting growth area for the actuarial profession.
Our strong links with industry mean you’ll have unique opportunities to see theory put into practice, and our syllabus includes guest lectures from working professionals, such as experts from Aviva. What’s more, you’ll have the opportunity to gain exemptions from the professional examinations set by the Institute and Faculty of Actuaries, so you could graduate one step ahead of your competition.
Study the art of risk: measuring it, assessing it, managing it, mitigating it – and sometimes profiting from it.
Crossing the road, making a cup of tea, flying on holiday, starting a new business: nearly everything in life encompasses an element of risk. And to an Actuary, risk is everything. If you’re strong on mathematics and have an interest in business and economics, are fascinated by world events and not afraid to take an educated gamble, a career in this small but growing (and pretty lucrative) profession could be ideal.
Our integrated Master’s in Actuarial and Data Science will teach you how to look to the future from a business perspective, assess any likely impact, then put a price on mitigating any risk. And, due to our strong links with industry, you’ll have opportunities to put the theory into practice. The fourth year of the programme will allow you to expand your skills beyond that of a standard graduate. You will have the opportunity to increase your computing, communication and business awareness skills to provide the potential for you to be an asset to any potential employer.
Actuarial Science is exciting, challenging and stimulating – and its skillsets are in increasingly high demand.