Statistics with Applications to Finance - MSc

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Organisation
University of Leeds
Start - End
1 Sep
Study Options
Full Time
Fee
GBP 11750 - 11750
Fee International
GBP 25000 - 25000

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.

Course highlights

Accreditation

This programme is accredited by the Royal Statistical Society.

Course content

The first two semesters of your course will consist of taught modules and in the third semester you will devote your time to a major dissertation. Within each semester you will take compulsory modules, with some optional modules available to suit your individual needs to broaden your knowledge in statistics.

In the first two semesters you’ll be introduced to forecasting future values within a time series and explore financial investments such as stocks and shares and develop the necessary probabilistic tools to evaluate risks within the market.

You’ll also look at risk assessment in detail, gaining comprehensive knowledge of mathematical and practical approaches to financial risk management. Avoiding the disastrous consequences of badly managed financial risk requires detailed mathematical knowledge of how to quantify that risk. The course also covers the pricing of financial assets.

Your third semester will be taken up by a dissertation in statistics. This will consist of a three-month research project undertaken in the summer on a topic chosen in conjunction with project supervisors, culminating in a dissertation on that project.

Want to find out more about your modules?

Take a look at the Statistics with Applications to Finance module descriptions for more detail on what you will study.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

For more information and a full list of typical modules available on this course, please read Statistics with Applications to Finance MSc in the course catalogue

See website for module information.

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.

Our Virtual Learning Environment will help to support your studies: it’s a central place where you can find all the information and resources for the School, your programme and modules.

You can also benefit from support to develop your academic skills, within the curriculum and through online resources, workshops, one-to-one appointments and drop-in sessions.

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

A degree from Leeds and the experience you'll gain here will give you the edge to find the career you want. Your course will give you the experience and knowledge that employers are looking for to help you secure a job.

The University of Leeds is in the top five most targeted universities in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2021 report.

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

The course is designed specifically to meet this demand.

Many statistical careers require people educated to Masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.


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