Course summary
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.
Modules
Core modules: mathematical finance - 20 credits; advanced mathematical finance - 20 credits; numerical methods and numerical linear algebra - 20 credits. Select one of the following: financial engineering project - 60 credits; knowledge exchange pathway - 60 credits. Examples of optional modules: 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
Assessment method
Research project.
How to apply
International applicants
English language requirements may apply for international students
Entry requirements
A 2:1 Honours degree in Mathematics or a programme with advanced Mathematical components.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For more detailed information on available funding and fees for postgraduate courses please visit:
https://www.birmingham.ac.uk/study/postgraduate/taught/fees-funding
Provider information
University of Birmingham
Edgbaston
Birmingham
B15 2TT