Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc: 12 months full-time
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 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.
Fees are listed on our website
Please see our website for funding 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:
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.
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
Research that matters Challenge yourself and become an expert in your field as part of a thriving research community of over 4,000 postgraduate...
