Further Mathematics and Careers

The skills gained from studying a science, technology, engineering or mathematics (STEM) subject at A level or degree level are in demand by employers. Graduates with STEM degrees earn on average 5% to 10% higher salaries than the mean for all graduates.

A wide range of STEM and non-STEM subjects are underpinned by mathematics. Having a broad mathematical knowledge and secure technical ability will help the transition from sixth-form to higher education. Together with good mathematical skills, employers are looking for the ability to work in a team, communicate effectively and show initiative.

The universities section has further details of the mathematical requirements of many degree courses.

Other sources of information

  • Mathscareers
    Information about the many fascinating careers that studying mathematics can lead to.

  • Plus Magazine
    Interviews with people who took mathematics-related degrees, explaining their career pathway and what they now do.

  • Best Course 4 me
    An independent website which enables students to investigate the link between A level subjects, degrees, careers and earnings. This site is especially useful for students in Year 10 or 11 considering which subjects to chose at A level.

  • Futuremorph
    Explains what's in a maths degree and who employs mathematicians.

  • Prospects
    Details potential careers following a maths degree, and other careers that require A level Mathematics.

  • Royal Statistical Society
    Useful guides and articles for careers using statistics.

  • StatsLife
    Guidance on careers using statistics

  • Learn About OR gives an overview of the range of careers
    available in operational research.

  • UCAS website
    The UCAS website has a variety of tools for helping students choose the right course for higher education.

  • AMSP
    The AMSP website has useful 'What Next' pages for A/AS level Mathematics and Further Mathematics.

Several Higher and Degree apprenticeships offer routes into careers that are rich in maths, including accountancy, actuarial science, architecture, engineering and data science.