Actuarial Mathematics at University of Leeds - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Actuaries are strategic thinkers who use their mathematical skills to analyse the financial consequences of risk. By applying mathematical, statistical, financial and economic theory to real business problems, they measure probability and calculate the financial impact of undesirable events. The next generation of actuaries are in demand across both the private and public sectors. In addition to the traditional insurance and pensions industry, actuarial roles are now found in other areas where uncertainty needs to be closely managed – such as banking, investment management, consultancy, manufacturing and transport. The career options available across these sectors are both varied and financially rewarding. Studying Actuarial Mathematics at Leeds will enable you to develop a range of core mathematical and actuarial science skills. You’ll enhance your analytical and problem-solving abilities and learn advanced skills in statistical analysis, numerical techniques and computer applications. These, along with your logical thinking and problem-solving capabilities, will mean you will not only be intellectually stimulated, you will also be desirable to potential employers and well-equipped to begin your career. Here at Leeds, we understand the importance mathematics has in everyday life, which is why we have one of the largest mathematics research departments in the UK and our courses are shaped by the latest thinking. This will equip you with the relevant knowledge, skills and experience you need to begin your career in this highly valued specialism. Why study at Leeds:

  • Graduate with a degree from a university ranked 7th in the UK for Accounting and Finance, Guardian University Guide 2022, and accredited by the Royal Statistical Society.
  • Our courses are shaped by our leading research in areas such as probability and financial mathematics, modern applied statistics, and analysis. The programme also covers much of the first level exams for the Institute and Faculty of Actuaries, enabling you to take steps towards qualifying as an actuary.
  • Learn from world-renowned experts at Leeds University Business School, ranked number 1 in the UK for Accounting and Finance (Guardian University Guide 2021).
  • Put theory into practice with access to modern facilities and computing equipment, complemented by social areas, communal problem-solving spaces and quiet study rooms.
  • Develop your experience and boost your career prospects with our paid industrial placement opportunities or study abroad programmes.
  • Benefit from our close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics.
  • Benefit from our partnership with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.


How to apply

This course has limited vacancies, and is no longer accepting applications from some students. See the list below for where you normally live, to check if you’re eligible to apply.

EU

Wales

England

International

Scotland

Northern Ireland

Republic of Ireland

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

GCSE: C/4 in English Language


English language requirements

IELTS: 6.0 overall with no less than 5.5 in any one component.


Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

For further information please see http://www.leeds.ac.uk/undergraduatefees
Actuarial Mathematics at University of Leeds - UCAS