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.
Mathematical Finance is a multidisciplinary field that involves the application of economic theory, mathematics, statistics and computer programming skills, to analyse and manage financial opportunities. Our MSc in Mathematical Finance develops your understanding of contemporary mathematical models and their application in the financial sector, whilst providing the flexibility to tailor your degree with optional modules in areas that interest you.
You will take core modules in mathematical finance and stochastic processes, and then choose from topics offered by the School of Mathematics, the Department of Economics, and the School of Computer Science. This programme will support you to achieve the highest levels in mathematical finance, developing the most advanced computational and programming techniques. With the skills and knowledge developed on this course you will be well-placed to advance quickly in a field where there is a growing global shortage of highly qualified people.
Why study Mathematical Finance MSc at Birmingham?
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
Tailor your degree by choosing from optional modules in a range of areas
Train specifically in independent study and research, which is an essential skill for a quantitative analyst
Learn at an internationally-recognised university ranked in the top 100 in the 2021 QS World University Rankings
Benefit from our strong links with industry and Careers Network support, meaning that rigorous academic study is combined with a real practical focus, leading to excellent job opportunities
Join a university that is number 2 in the United Kingdom for being most frequently targeted by the country’s top employers (High Fliers Research 2020).
We live in a global world where random events can have a significant impact on the global economy. Our MSc in Mathematical Finance develops mathematical and computational skills so that our students are fully prepared to assess and reduce risks when exploring investment opportunities in the face of uncertainty.
Dr David Leppinen, Senior Lecturer in Mathematics
Advanced Mathematical Finance - 20 credits, Semester 2
LM Mathematical Finance Dissertation - 60 credits
LM Stochastic Processes - 20 credits, Semester 1
You are strongly advised to evenly split their module choices so that they take 60 taught credits during Semester 1 and 60 taught credits during Semester 2
Students must take on the following modules: (It is recommended that students take Mathematical Finance unless they have previously taken a previous undergraduate course in Mathematical Finance. If you have previously taken a variation of Mathematical Finance then you cannot take this module and Theory of Finance becomes compulsory.
Mathematical Finance - 20 credits, Semester 1
Theory of Finance - 20 credits, Semester 1
Students must choose 60 credits of options, example modules listed below:
Advanced Management Mathematics - 20 credits, Semester 2
LM Machine Learning and Intelligent Data Analysis - 20 credits, Semester 1
LM Methods in Partial Differential Equations - 20 credits, Semester 1
LM Nonlinear Programming I and Heuristic Optimisation - 20 credits, Semester 1
LM Numerical Methods and Numerical Linear Algebra - 20 credits, Semester 2
Statistical Methods in Finance and Economics - 20 credits, Semester 2
The following optional combination of modules must be taken as a 10+10=20 credit pair
Experimental and Behavioural Economics - 10 credits, Semester 2
Risk, Uncertainty and Information - 10 credits, Semester 2
Please note: The modules listed on the website for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods.
The annual tuition fee for 2021/22
£12,240 for UK students
£21,960 for International students
How To Apply
International applicants requiring visasApplications to this programme from students who are international for fees will close July 2021 (to be confirmed). We will close applications as soon as the programme is full, early applications are encouraged.
UK and non-Tier 4 applicantsApplications will close in mid-September 2021 (to be confirmed). We will close applications as soon as the programme is full, early applications are encouraged.