Statistics

Entry requirements

A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component. You’ll have a foundation in statistics including strong grades in statistical modules (no key marks below 2:2). We may ask for further detailed module information if these are not clear on your transcript.

We do not normally accept degrees in Accountancy or Finance.

Months of entry

September

Course content

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 MSc is a flexible Masters degree enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics.

The course combines in-depth training in mainstream advanced statistical modelling with a broad range of specialisations, including financial mathematics, clinical trials and risk management. You’ll also develop your understanding of research methods in statistics from writing styles to programming skills, preparing you for a wide range of careers in different sectors. You’ll apply these skills in an independent research project.

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 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 and statistical computing.
• Tailor the degree to suit your specific interests with a large selection of optional modules to choose from, with everything from risk management to mathematical biology, medical statistics to stochastic calculus – 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.