Statistics with Applications to Finance MSc

Overview

This Masters degree combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics.

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.

As well as the statistics expertise within the School of Mathematics, the MSc also draws on experience in Financial Mathematics, a joint venture between the School of Mathematics and Leeds University Business School.

Accreditation

This programme is accredited by the Royal Statistical Society.

Learning and teaching

This programme is taught jointly between the School of Mathematics and the Leeds University Business School. You will study a mixture of modules taught by specialists in each school though a combination of lectures and small group workshops.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers. The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of sectors, including:

• Actuarial, betting and gaming industries
• Charitable organisations
• Commercial, environmental and financial organisations
• Forensic and police investigation
• Government departments
• Market research
• Medical and pharmaceutical organisations

A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component. Successful applicants will have a foundation in Statistics including strong grades in statistical modules. 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.