MSc Financial Mathematics with Data Science

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.

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.

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.

Year 1

Semester 1

Compulsory units

• Financial models in discrete and continuous time
• Foundations and applications of machine learning
• Programming for data science
• Risk, randomness and optimisation
• Statistics for data science

Semester 2

Compulsory units

• Advanced techniques for finance
• Bayesian data analysis
• Financial models in discrete and continuous time
• Foundations and applications of machine learning
• Research project preparation

Summer

• Compulsory units
• Dissertation