Actuarial science teaches you the art of turning risks into opportunities. Actuaries provide assessments of financial security systems, with a focus on their complexity, their mathematics, and their mechanisms. You benefit from an excellent starting salary, with graduates earning upwards of £30,000 on average. Our BSc Actuarial Science course encourages you to delve into your passions for mathematics and practical problem-solving. Our attractive blend of solid mathematics, an understanding of real-world financial issues, and computing skills provide you with the core skills essential for entering the actuarial profession. You learn the theory and methods used by professional actuaries; on how to apply mathematical and statistical skills to minimise financial risk when the stakes are high, in areas such as commerce, government, insurance and finance. Study topics including: - Mathematical finance - Financial reporting - Contingencies, risk management and survival analysis - Mathematical, statistical and probabilistic techniques - Programming and computation in languages such as Matlab and R You can spend your third year on a placement year with an external organisation, where you learn about a particular sector, company or job role, apply your academic knowledge in a practical working environment, and receive inspiration for future career pathways. You will be responsible for finding your placement, but with support and guidance provided by both your department and the placements team. If you complete a placement year you'll only pay 20% of your usual tuition fee to Essex for that year. Professional actuaries in the insurance industry, including influential businesses AXA and Buck Consultants, contribute to our employability module and also host students at their offices to show them typical challenges that actuaries face. As part of our Department of Mathematical Sciences, you’re a member of an inclusive and approachable research community which allows you to explore topics in pure, high-level mathematics and applied mathematics.