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Data Science and Business Analytics (Taught)

1 Study option · PostgraduateMain Site

Course summary

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. 1 year full-time (+ optional placement).

  • 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.

  • 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.

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