A 2:2 honours degree, or equivalent, in any relevant discipline. Prior knowledge of data analysis or statistics and/or work experience is not necessary.
Months of entry
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.
Making available the possibility of completing the programme over twenty-four months with an integral work placement year.
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.
Information for international students
An IELTS score of 6.5 (with a minimum of 5.5 in any element).
Qualification and course duration
Course contact details
- Admission enquiries