Course summary
This degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills. Taught by experienced academics based in both Leeds University Business School and the School of Mathematics, you’ll cover key topics including financial derivative pricing, discrete and continuous time models, risk management and portfolio optimisation. You’ll be equipped with a rare combination of mathematical and business finance knowledge, a skillset highly sought after in the financial sector by banks and investment companies. It’s also excellent preparation if you’re interested in pursuing further academic research. This course is ideal if you’ve previously studied mathematics or statistics, finance, economics, physics or computing, and are interested in applying your skills to financial markets.
Assessment method
Assessment methods emphasise not just knowledge, but essential skills development too. This may include formal exams, group projects, reports, computer simulation exercises, essays and written assignments, group and individual presentations and reflective logs. This diversity enables you to develop a broad range of skills as preparation for professional life.
Entry requirements
A bachelor degree with a 2:1 (hons) in a related subject such as finance, economics, mathematics, physics, computing or engineering. Visit our website for full entry requirements, including the alternative qualifications we accept.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Fees are listed on our website: http://www.leeds.ac.uk/mastersfees
Provider information
University of Leeds
Woodhouse Lane
Leeds
LS2 9JT