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Data Science and Business Analytics (MSc)

Course Description

The growing availability of huge amounts of data in business and industry is generating a high demand for graduates able to handle and exploit big data. Using sophisticated analytics techniques, including social network visualization and sentiment analysis, and professional software packages, including R dplyr and ggplot2, you will gain the skills and knowledge to transform data into commercial value and boost your employability.

Key features

Equipping applicants from almost all undergraduate degrees with broad professional competence in one of the world economy’s most sought-after postgraduate subject areas.

Offering an equal number of taught credits in the three areas of data modelling, computing and business, with a wide choice of available business modules.

Providing a flexible individual project in one or more of the three taught areas supervised by world-leading subject experts.
Establishing high proficiency in the use and application of state-of-the-art programming languages including R.

Developing modern analytics expertise for obtaining business, scientific and social insights from Big Data sources and social networks such as Facebook and Twitter.

Making available the possibility of completing the programme over twenty-four months with an integral work placement year.
Consult eBooks to support your learning and receive a free Apple iPad mini to stay-up-to date, wherever you are.

Enjoy teaching from leading academics: for example, in the UK 2014 Research Excellence Framework 68 per cent of our mathematics and statistics research papers were classified as World Leading or Internationally Excellent.

Course details

Throughout the programme you will learn how to master sophisticated analytics techniques and professional software, including R, to handle and exploit big data, and to work as part of a project team. You will also develop practical and professional competence in data science and business analytics, and will be able to make strategic decisions in a broad range of business related practical situations.

In semester two you will select optional modules to suit your interests and career aspirations and have the opportunity to boost your employability with an optional industrial placement.


The University aims to make the application procedure as simple and efficient as possible. Our Postgraduate Admissions and Enquiries team are on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail. If you have a disability and would like further information about the support provided by Plymouth University, please visit our Disability Assist Services website. Support is also available to overseas students applying to the University from our International Office via our how to apply webpage or email .

Visit the Data Science and Business Analytics (MSc) page on the Plymouth University website for more details!

Entry Requirements

A good honours degree, first or second class, or equivalent, in any discipline. If English is not your mother tongue 6.5 IELTS with a minimum of 5.5 in any element in a secure English language test. Plymouth University offers pre-sessional English language courses if you do not have this. Prior knowledge of data analysis or statistics and/or work experience are not necessary.

Course Fees

UK/EU: £5,660, International: £13,250, Islands: £13,250

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