Application deadline: as early as possible
Tuition fee:
  • £ 5,250 / Year (EEA)
  • £ 12,890 / Year (Non-EEA)
Start date: September  2015
Credits (ECTS): 90 ECTS
Credits: 180
Duration full-time: 12 months
Languages:
  • English
Location:
Delivery mode: On Campus
Educational variant: Full-time
More information: Go to university website

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Description

In 2011, we updated our MSc in Statistics and introduced a new MSc in Statistics with Finance. Research projects have a good blend of theory and applications. We encourage all postgraduate Statistics students to take part in statistics seminars and to help in tutorial classes
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.

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

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.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

  • MA835 - Portfolio Theory and Asset Pricing Models
  • MA837 - Mathematics of Financial Derivatives
  • MA889 - Analysis of Large Data Sets
  • MA890 - Practical Statistics and Computing
  • MA867 - Project
  • MA881 - Probability and Classical Inference
  • MA882 - Advanced Regression Modelling
  • MA883 - Bayesian Statistics
  • MA886 - Modelling of Time - Dependent Data and Financial
  • MA887 - Stochastic Processes and Insurance Risk

Assessment

Assessment is through coursework and formal examinations.

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: (read more)

Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IELTS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever.

193 (Grade B)

IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa.

The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.

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