MSc - Statistical Data Science with an Industrial Placement

Logo for University of Kent
Learn More

Before you apply - don't miss out!

Subscribe to our weekly update on new listings

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Organisation
University of Kent
Start - End
12 Sep
Study Options
Full Time
Fee
GBP 9300 - 9300
Fee International
GBP 17400 - 17400

The MSc in Statistical Data Science is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.

The 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.

About the School of Mathematics, Statistics and Actuarial Science (SMSAS)

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistical Data Science 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, where you can socialise and discuss issues with a community of other students.

Learn More

Featured Programs

Lancaster University

Lancaster University, Bailrigg, Lancaster, UK

October 01, 2022

King’s College London

King's College Hospital, Denmark Hill, London, UK

October 01, 2022

Imperial College London

London, UK

September 01, 2022

Our Partners

Logo for Nhs
Logo for Waikato
Logo for Quiagen
Logo for Roche
Logo for Ucla

Like what you see?

Advertise