Course summary

Data is integral to our society and there’s an ongoing demand for numerate specialists in a broad range of industries. From finance to governmental departments, the emergency services to gaming – the career opportunities that’ll open up to you with a Statistics MSc could be far-reaching. Our Statistics with Applications to Finance MSc is a focused degree programme which enables you to broaden and deepen your understanding of statistics and financial applications. It combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics. As well as the statistics expertise from within the School of Mathematics, the MSc also draws on experience in financial mathematics from Leeds University Business School. Both the School of Mathematics and the Leeds University Business School are home to specialist facilities and passionate academics who are experts in their fields. These Schools are also responsible for delivering internationally excellent research and have strong links with industry and a whole range of research institutions. This means, once you’ve graduated, you’ll be fully equipped with the most up-to-date practices and techniques, alongside the technical skill set you’ll need to pursue an exciting career in a variety of job roles. Why study at Leeds:

• This Masters degree is accredited by the Royal Statistical Society.

• Our globally-renowned research conducted right here on campus in the School of Mathematics and Leeds University Business School feeds directly into the course, shaping your learning with the latest thinking in areas such as probability and financial mathematics, modern applied statistics and analysis.

• Benefit from our School’s close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.

• Advance your knowledge and skills in key areas of statistics, risk management and time finance.

• Tailor the degree to suit your specific interests with a large selection of optional modules to choose from, with everything from programming to statistical computing, mixed models to linear regression – plus many more.

• Put theory into practice by conducting a project which focuses on a topic that matches your interests, giving you the chance to apply the knowledge acquired throughout the course and demonstrate independent research skills necessary for a professional or academic career.

• Access excellent teaching facilities and computing equipment throughout the school, complemented by social areas and communal problem-solving spaces.

• Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of areas in mathematics and statistics.

• Be part of a diverse and supportive community of mathematicians from all over the world.