Financial Mathematics with Data Science

To apply for this course, your undergraduate degree should be in a programme that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Computer programming experience would also be advantageous. We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

Before you apply, please check the University of Bath website for the most recently published entry requirements.

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.

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.