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Statistics with Applications to Finance MSc

Statistics with Applications to Finance MSc

Different course options

Study mode

Full time

Duration

12 months

Start date

30-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Statistics Finance / Accounting (General)

Course type

Taught

Course Summary

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 with Applications to Finance MSc is a focused degree programme which enables you to broaden and deepen your understanding of statistics and financial applications. It combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics.

As well as the statistics expertise from within the School of Mathematics, the MSc also draws on experience in financial mathematics from Leeds University Business School.

Both the School of Mathematics and the Leeds University Business School are home to specialist facilities and passionate academics who are experts in their fields. These Schools are also responsible for delivering internationally excellent research and have strong links with industry and a whole range of research institutions.

This means, 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.

Career opportunities

There is a shortage of well-qualified statisticians globally. 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.

Modules

This module develops a general methodology for the pricing of financial assets in risky financial markets based on discrete time models. On completion of this module, students will be able to: describe the main instruments available in financial markets; apply the concepts of no-arbitrage and mean-variance to calculate fair prices of assets in one-period models; value risky returns with the Capital Asset Pricing Model and apply the Arbitrage Pricing Theory; demonstrate an understanding of the no-arbitrage principle in multi-period models; describe the Cox-Ross-Rubinstein binominal model and its applications; understand simple interest rate models; explain the fundamental differences between finite and infinite investment horizons; demonstrate an understanding of log-optimum investment and the Kelly rule.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£13,750

International fees
Course fees for EU and international students

For this course (per year)

£29,750

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. 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.