• This degree provides students with knowledge of advanced finance concepts, whilst developing quantitative, mathematical and research skills.
  • Taught by experienced academics based in both Leeds University Business School and the School of Mathematics, students will cover key topics including financial derivative pricing, discrete and continuous-time models, risk management and portfolio optimization, as well as statistical and machine learning methods for finance.
  • Students will be equipped with a rare combination of mathematical skills and the latest business finance knowledge, which is highly sought after in the financial sector by banks, and investment and consultancy companies. It’s also excellent preparation if they are interested in pursuing further academic research.
  • This course is ideal if they have previously studied finance, economics, mathematics, physics or computing, and are interested in applying their skills to financial markets.
  • The course will improve students' research skills and allow them to study different research methodologies, including those employed by their own leading academics. This will prepare students for their dissertation – an independent research project on a topic of their choice that they will submit by the end of the year.