M.Sc. Statistics with Finance

University of Kent - Canterbury Campus

Application deadline: as early as possible
Tuition fee: Not specified
Start date: September  2014
Credits: 90 ECTS
180
Languages:
  • English
Location:
Delivery mode: On Campus
Educational variant: Full-time

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Description

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Statistics at Kent provides:

* a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers
* teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work
* advanced and accessible computing and other facilities
* a congenial work atmosphere with pleasant surroundings and location, where you can socialise and discuss issues with a community of other students

This 12 month postgraduate statistics course aims to train students for careers using Statistics in the financial services industry. Graduates will study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The Royal Statistical Society (RSS), which has accredited the programme, has extensive information about career opportunities in statistics.

Contents

Programme structure This newly introduced programme trains students for careers using statistics in the financial services industry. You study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The course includes modelling of financial time series, risk and multivariate techniques.

You gain experience of analysing real data problems through practical classes and exercises. The course includes training in the computer language R.

You undertake a substantial project in the area of finance or financial econometrics, supervised by an experienced researcher. Some projects are focused on the analysis of particular complex data sets while others are more concerned with generic methodology.

Requirements

A minimum of 2.2, with a substantial amount of mathematics at university level. Prior experience of finance is not required

English Language Requirements

IELTS band: 6.5
CAE score: 75 (Grade B)
TOEFL iBT® test: 90

Funding

For funding, refer to our website for details

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