Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 2 Years Full Time with professional placement
Standout to employers in the financial sector with a strong foundation in quantitative, mathematical and computational skills relevant to that industry.
Finance is a dynamic industry, with innovation in quantitative methods driving fast-growing areas such as FinTech. Advances in machine learning and increased availability of data are allowing organisations to make better decisions and improve their products and services.
Implementing these advances requires a new generation of graduates with a range of skills in quantitative, mathematical and data science fields.
This course will reinforce your mathematical skills across a wide range of topics and equip you with quantitative skills sought after by employers in the financial industry. You'll gain a broad education in classical and contemporary mathematical finance and data science methods relevant to modern financial institutions. You’ll develop a practical and theoretical understanding of machine learning and other data science tools, and the software skills needed to successfully implement them.
Going on placement gives you the opportunity to apply your skills and knowledge working in industry. You’ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills.
We have links with companies of all sizes, from household names to start-ups. Recent placements include positions at EDF Energy, Intel, AtomX Digital and Infomentum.
Placement opportunities can't be guaranteed, but you will receive tailored support from our specialist team to help you secure a placement.
You should have a first or strong second-class undergraduate degree or international equivalent.
To apply for this course, your undergraduate degree should be in a subject that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Computer programming experience would also be advantageous.
For fees and funding options, please visit website to find out more
On graduation, you'll have a broad range of skills and knowledge relevant to a career in traditional and modern financial sectors. From banking, insurance, investment and risk management, to leading areas of the modern financial industry such as FinTech, employers are seeking specialists with financial mathematics and data science skills. Our dedicated careers team offers individual guidance and can help you decide between employment and further study.
Recent graduates from the department are in positions in a wide range of financial sectors including: foreign exchange trading, credit risk, fund management, insurance and actuarial consulting in companies ranging from start-up FinTech companies to multi-national, big-name banks and insurers.
Semester 1 Compulsory units
Semester 1 Compulsory units
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Thu 16 Apr 2026