Statistics and Computational Finance

Entry requirements

2:1 or equivalent in Mathematics or in a subject with a substantial mathematics component. We may accept a 2:2 undergraduate degree supported by relevant professional qualifications.

Months of entry

September

Course content

Train to work as a professional statistician and gain skills and experience working at the interface between statistics and finance.

Our course emphasises data analysis and will provide you with contemporary statistical ideas and methodologies that are attractive to prospective employers. The skills you gain are useful for a wide range of financial data analysis and in a range of other sectors where data analysis is required, for example sociology, health science, medical science or biology. This experience is also an ideal foundation for further academic study; many of our students choose to progress to PhD.

Our Statistics and Probability Group has a thriving research culture. Our group works with mainstream statistics to develop new methodology and apply it to real-world problems. The team produces world-class research, publishing in top journals. Our graduate students have full access to this expertise, as well as being exposed to forefront research carried out across the globe through our regular seminars and working groups.

Information for international students

If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

IELTS 6.0, minimum 5.5 in each component.

For more information see our postgraduate English language requirements.

Fees and funding