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Financial Mathematics Masters/MSc

Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Mathematics For Specific Applications Financial Modelling

Course type


Course Summary

This programme, offered by the School of Mathematics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

This programme aims to provide students who possess a strong existing undergraduate background in mathematics with a specialisation in financial mathematics. Students pursuing it as a terminal MSc degree will gain the technical skills to work in quantitative financial analysis. Those intending to pursue further research in financial mathematics will gain the technical and research skills to do so.

Financial mathematics is a highly specialised and rapidly growing area requiring a strong mathematical background alongside appropriate training in finance and computer programming. This MSc degree in Financial Mathematics is both technical and practical. Students will acquire in-depth mathematical knowledge and skills applied to the area of finance, advanced skills and knowledge in computational and programming techniques as well as experience of extended project work, and opportunities to develop wider skills which help them advance quickly in their future careers.

Why study Mathematical Finance MSc in Dubai?

  • Develop your ability to apply mathematical and scientific knowledge to financial analysis, identifying, critically analysing and evaluating scenarios within the sector
  • Learn to use software packages to analyse financial data and to implement numerical models
  • Train specifically in independent study and research, which is an essential skill for a quantitative analyst


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.

Graduates from MSc Mathematical Finance are well prepared to compete for quantitatively demanding positions in financial institutions, 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.


Machine Learning and Intelligent Data Analysis (Extended) (20 Credits) - Core
Financial Mathematics Dissertation (60 Credits) - Core
Advanced Mathematical Finance (20 Credits) - Core
Stochastic Processes (20 Credits) - Core
Risk Analysis and Management (20 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

Students need to have a 2:1 Honours degree in Mathematics or a programme with advanced mathematical components.