Develop a strong foundation of quantitative, mathematical and computational skills relevant to a career in the financial sector.
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. Skills in data science are increasingly sought after by industry.
This course will reinforce your mathematical skills across a wide range of topics and equip you with quantitative skills desired by employers in the financial industry. You'll gain a broad education in mathematical 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 to successfully implement them.
Who is this course for?
This course is designed for graduates in highly numerate disciplines who are interested in a career in the financial industry and would like to develop their knowledge in this area. The course provides training in programming, machine learning, data science and financial mathematics.
- Benefit from input by leading industry experts and ensure you’re up to date with the latest advances in modern finance.
- Stand out when applying for jobs by gaining a strong foundation in both financial mathematics and data science, opening up a wide range of careers within the financial industry.
- Undertake an intensive research project in collaboration with academics, tackling a problem of importance to the financial industry.
During the course, you will undertake an in-depth investigation into a topic relevant to the application of mathematics or data science to a problem of importance in the financial industry. Your project will be based on reading and preliminary work conducted during your second semester.
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.
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