MSc Financial Engineering

Our Financial Engineering Masters programme will support you to achieve the highest levels in mathematical finance, developing the most advanced computational and programming techniques. This will enable you to advance quickly in a field where there is a global demand of highly qualified people.

Financial engineering is a multi-disciplinary field that involves the application of computational engineering, software engineering and computer programming skills, along with underlying mathematical and statistical theories, to analyse and manage financial opportunities.

Financial engineering is a multi-disciplinary field that involves the application of computational engineering, software engineering, and computer programming skills, as well as the underlying mathematical and statistical theories to the analysis and management of financial opportunities.

The programme is for strong (1st, 2.1 or equivalent) graduates from programmes in mathematics, or programmes with advanced mathematical components, and who wish to pursue a career in quantitative analysis in economic or financial sectors with state-of-art mathematical methods, computational skills and programming expertise.

You will receive the most advanced computational and programming techniques which help you advance quickly in the field. Our graduates much in demand from sectors such as economics, finance, banking, actuarial science, insurance and industrial management.

Career opportunities

Postgraduate study at the University of Birmingham is a chance to learn from world leaders in their fields. This guarantees you a first-class learning experience, leading to a qualification that is respected the world over and making you an attractive prospect in a very competitive job market.

This programme gives an ideal preparation for a career in quantitative analysis in economic or financial sectors with state-of-art mathematical methods, computational skills and programming expertise. The School’s graduates work in a wide variety of fields in governmental and multi-national organisations.

The degree also provides an ideal basis for postgraduate research, either for purely academic ends or to further qualify graduates for work in financial institutions.

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Modules

  • Mathematical Finance - 20 credits
  • Advanced Mathematical Finance - 20 credits
  • Numerical Methods and Numerical Linear Algebra - 20 credits
  • Select on of the following:
  • Financial Engineering Project - 60 credits
  • Postgraduate Taught Knowledge Exchange Pathway - 60 credits
  • Applied Statistics - 20 credits
  • Game Theory and Multicriteria Decision Making - 20 credits
  • Integer Programming and Combinatorial Optimisation - 20 credits
  • Nonlinear Programming I and Heuristic Optimisation - 20 credits
  • Statistical Methods in Finance and Economics - 20 credits
  • £27,270 Per Year

    International student tuition fee

    1 Year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time