Entry requirements

A minimum of an upper second-class UK Bachelor’s degree in a relevant discipline, or an overseas qualification of an equivalent standard. Work experience may also be taken into account.

Months of entry

September

Course content

We are building a community of researchers working on current and future challenges within financial computing and analytics. With three collaborating universities, our PhD programme is rich in opportunities for engineers and scientists to gain confident skills and knowledge within their chosen field of research. Our students work on an applied research project with one of our industry partners.

Challenging and original research projects are undertaken on the PhD programme, with support from the highest standard of academic advisors. Students follow specialist lines of research at a doctorate level and apply their work with innovative technologies.

Financial Computing and Analytics encompasses a wide range of research areas including mathematical modelling in finance, computational finance, financial IT, quantitative risk management and financial engineering. PhD research areas include stochastic processes, quantitative risk models, financial ecometrics, software engineering for financial applications, computational statistics and machine learning, network, high performance computing and statistical signal processing.