Taught course

Financial Engineering

Institution
University of Birmingham · School of Mathematics
Qualifications
MScMasters

Entry requirements

2:1 Honours degree in Mathematics or a programme with advanced mathematical components.

Months of entry

September

Course content

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.

Why study Financial Engineering Masters at Birmingham?

  • Acquire the ability to integrate the knowledge of mathematics, statistics and computer science in order to address, critically analyse and provide a rational appraisal of a problem
  • Learn to use software packages to perform statistical analysis and empirical studies
  • Focus on finding optimal solutions to financial problems in broader and challenging environments
  • Train specifically in independent study and research, which is an essential skill for quantitative analyst
  • Study at the School of Mathematics which is internationally recognised for the quality of research in various fields

Information for international students

Standard English language requirements apply (IELTS 6.0 with no less than 5.5 in any band).

Fees and funding

Funding opportunities are available.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
  • Masters
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions Team
Email
eps-apply@contacts.bham.ac.uk