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    School of Mathematics Logo
  • Study Type

    Full time available

  • Subject Areas

    Mathematics

  • Start Date

    September

  • Course Duration

    1 year

  • Course Type

    MSc

  • Last Updated

    26 July 2018

Course content

Overview

This course 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.

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 three compulsory modules, with some optional modules available to suit your individual needs to broaden your knowledge in statistics.

In the first semester you’ll be introduced to statistical computing with an emphasis on sampling-based methods including Markov Chain Monte Carlo. You’ll also explore financial investments such as stocks and shares and develop the necessary probabilistic tools to evaluate risks within the market.

In semester two you’ll 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. You’ll also learn about pricing financial assets and forecasting future values within a time series.

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.

Accreditation

Royal Statistical Society Accreditation

On graduation you will be eligible for the Graduate Statistician (GradStat) status and after five years’ experience this can then be converted into the professional status of Chartered Statistician (CStat).

Being a chartered statistician provides employers, contractors and collaborators of statisticians a level of assurance that you are at the forefront of your field and is a mark of accomplishment to society.


Visit the Statistics with Applications to Finance MSc page on the University of Leeds website for more details!

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