Description

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.

Study Details:

MSc: 12 months full-time

Module Details:

Compulsory modules
Discrete Time Finance 15 credits
Continuous Time Finance 15 credits
Risk Management 15 credits
Time Series and Spectral Analysis 15 credits
Dissertation in Statistics 60 credits

Optional modules (selection of typical options shown below)
Mixed Models 10 credits
Bayesian Statistics 10 credits
Generalised Linear Models 10 credits
Mixed Models with Medical Applications 15 credits
Introduction to Programming 5 credits
Models in Actuarial Science 15 credits
Computations in Finance 15 credits
Linear Regression, Robustness and Smoothing 20 credits
Multivariate and Cluster Analysis 15 credits
Bayesian Statistics and Causality 15 credits
Generalised Linear and Additive Models 15 credits
Independent Learning and Skills Project 15 credits
Statistical Computing 15 credits

Programme Funding

Please see our website for funding opportunities.

Student Destinations

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.

Fees

Fees are listed on our website

Entry Requirements

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 (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.

Please see our website for how to apply

Visit Website Request Information Add to Compare List

Key Information

Please see our website for how to apply


Visit Website
Request Information
Add to Compare List

University Hub

University of Leeds

More Information
.