Financial Mathematics with Data Science (Taught)

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.

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.

Course highlights

• Benefit from a course developed with input from 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

• Undertake an intensive research project in collaboration with academics, tackling a problem of importance to the financial industry.

• Be part of our supportive postgraduate community.

• Live and study in a beautiful world heritage city.