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.
• 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.
• 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.
A good honours degree, first or second class, or equivalent, in any discipline.
According to the report (Big Data Analytics: An assessment of the demand for labour and skills, 2012-2017) written by e-Skills UK,
By 2017 the demand for graduates in data science and business analytics will increase by 92%, with at least 28,000 new jobs created every year.
As a graduate in Data Science and Business Analytics you will be in a prime position to pursue a wide variety of prestigious and extremely well-rewarded positions, which include, but are not restricted to: data analyst and data manager, research and business analyst, social media and business strategist, data scientist, and data engineer.