Mathematics
Our MSc Financial Mathematics blends economic theory, mathematics and statistics with computer programming skills. Teaching you how to use mathematical models to analyse and manage opportunities in the financial sector, it will give you a range of skills highly valued by employers.
Why choose our programmes?
- Develop advanced knowledge in mathematical finance, including vital computational and programming techniques.
- Advance quickly in a field with a growing global shortage of highly qualified people.
- Learn how to apply mathematical and scientific knowledge to financial analysis, identifying, critically analysing and evaluating scenarios.
- Use software packages to analyse financial data and implement numerical models.
- Develop your skills in independent study, research, and knowledge application – all essential for roles as a financial or quantitative analyst.
Graduate career destinations have included:
Our Mathematics graduates have found careers in organisations such as:
- Metrocombank
- Ernst & Young
- BDO Limited
- University of Birmingham
How will you be taught?
You’ll study 60 taught credits of Masters-level courses in each of Semesters 1 and 2. Building your understanding of scientific programming, you’ll also develop skills in advanced mathematical modelling within finance.
As part of your studies, you’ll complete a 60-credit dissertation, where you’ll apply all your new skills by researching a programme topic of your choice.
Financial Mathematics MSc*
What will you study?
If you have a strong undergraduate mathematics background, this is your chance to specialise in financial mathematics. While studying just the MSc degree, you’ll develop the technical skills to work in quantitative financial analysis. If you’re looking to pursue further research in financial mathematics, you’ll gain the technical and research skills to do so.
Financial mathematics is a highly specialised and rapidly growing area that demands a strong mathematical background, plus further training in finance and computer programming. That’s why the programme is both technical and practical.
Our taught modules include: Stochastic Processes, Mathematical Finance, Machine Learning and Intelligent Data Analysis, Advanced Mathematical Finance, Numerical Methods and Numerical Linear Algebra, and Statistical Methods in Finance and Economics.
As part of the course, you’ll also complete a 60-credit MSc Dissertation. Here, you’ll carry out an in-depth research project on your chosen area of the programme.
Who should study this programme?
This programme is open to applicants with a strong background in mathematics. A bachelor’s degree in mathematics, applied mathematics, statistics, physics, engineering, economics, or a related field is typically required.
The MSc Financial Mathematics programme offers a unique opportunity to develop expertise at the intersection of finance and mathematics, preparing students for rewarding careers in the financial industry. With a rigorous curriculum, experienced faculty, and strong industry connections, we provide students with the knowledge, skills, and professional network needed to succeed in this dynamic and challenging field.
Why study this programme?
Interdisciplinary approach: The MSc Financial Mathematics programme integrates principles from mathematics, statistics, economics, and computer science to provide a holistic understanding of financial markets and products.
Career opportunities: Graduates of the program are well-equipped to pursue careers in a wide range of financial institutions, including investment banks, hedge funds, asset management firms, and insurance companies. They are sought after for roles such as quantitative analysts, risk managers, financial engineers, and algorithmic traders.
Faculty expertise: Our faculty members are leading experts in their fields, with extensive experience in academia. They are committed to providing students with a rigorous and engaging learning experience, combining theoretical rigor with practical insights.
Industry connections: We have strong connections with industry partners, including leading financial institutions and technology firms. These connections provide students with opportunities for internships, networking, and career placement assistance.
'I found that the teaching staff on this programme were all very dedicated and approachable. The course that left the deepest impression on me was Stochastic Processes. As this was my first class, and as an international student with no prior experience studying abroad, the conducive learning environment left a profound impression on me.'
Shuxiang Liu MSc Financial Mathematics