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|Application deadline:||as early as possible|
|Tuition fee:||Not specified|
|Start date:||September 2014|
|Credits:|| 90 ECTS |
180 Details ▼
* Total Kent credits: 180
|Duration full-time:||12 months|
|Delivery mode:||On Campus|
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 professional statisticians for posts in industry, government, research and teaching. It also provides a suitable preparation for careers in other fields requiring a strong statistical background. The Royal Statistical Society (RSS), which has accredited the programme, has extensive information about career opportunities in statistics.
The statistics group at SMSAS is highly qualified to lead your advanced study in statistics and research in the field is thriving here. In the last Research Assessment Exercise (RAE), in 2008, we were ranked 8th in the UK for Statistics. Our research work informs our MSc teaching, through lectures, practical work and projects.
Both the RSS and Statisticians in the Pharmaceutical Society (PSI) offer prizes for students who perform exceptionally well on the MSc in Statistics.
Programme structure This programme, which has recently been updated, trains professional statisticians for posts in industry, government, research and teaching. It provides a suitable preparation for careers in other fields requiring a strong statistical background. Core modules give a thorough grounding in modern statistical methods and there is the opportunity to choose additional topics to study.
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 statistics, 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
A minimum of 2.2, with a substantial amount of mathematics at university level.
|CAE score:||75 (Grade B)|
|TOEFL iBT® test:||90|
For funding, refer to our website for details.
You are normally required to take an English Proficiency Test.
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