The normal entry requirement for the MSc in Mathematical Finance is the equivalent of a British first or good second class honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, engineering, economics, or computer science. We will assess your suitability for the programme individually. Please be aware that the Admissions Tutor may require further information from you regarding your mathematical background. Students from outside of the UK help form a global community here at Queen Mary.
For detailed country specific entry requirements please visit the International section of the QMUL website. If your first language is not English, you must provide evidence of your English language proficiency. Non-native English speakers are required to have minimum of IELTS 6.5 or equivalent.
Months of entry
The MSc in Mathematical Finance is a specialist master’s degree designed to equip talented individuals with the skills necessary for a successful career in banking and the financial markets.
Specifically, the programme provides in-depth training for professional roles such as quantitative analysis, trading, financial engineering and structuring, risk management, and software development. Business sectors include investment and commercial banking, fund management, the insurance business, and hedge funds.
The programme is taught jointly by the School of Mathematical Sciences and the School of Economics and Finance, leveraging on the expertise of both departments. It features a wide range of compulsory and elective modules, as well as the opportunity to undertake a significant project in an area of interest.
The programme is offered full-time over one year or part-time over two years, and is assessed by a combination of coursework, examinations and a project dissertation.
Information for international students
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Fees and funding
For up to date information regarding tuition fees see the College's website on tuition fees.
Qualification and course duration
Course contact details
- School of Mathematical Sciences