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Entry requirements

You should be a digital and numerical literate graduate with a degree (2:2 or higher) in:

  • STEM degree subjects or near STEM subjects (examples of near STEM subjects include: Economics, Informatics, Accountancy)
  • Non-STEM degree subjects: if your degree is not related to STEM, you will also need an A level in maths.

For more information on the IELTS (International English language Testing System) requirements for this course, please click here to visit our dedicated web page.

More information about entry requirements.

Months of entry

September

Course content

Typically computing courses in the UK don’t address industries’ and public sectors’ need for data professionals to manage data for public good. There is an increase in demand for graduates with interdisciplinary skills and abilities; social science humanities, mathematical, information science, systems science, psychology and economics. 

This course will provide you with the opportunity to build upon your degree learning and further develop your interdisciplinary skills. You will learn how to lead on, manage, use and harness technology to extract, analyse, and visualise data. In particular, how to make good use of the large quantities of Data in Action to the benefit of commerce, environment and society. You will develop your learning, how to apply and analyse statistics and probability, artificial intelligence, machine learning, pattern recognition, uncertainty modelling, visual processing, meta cognitive and linguistic processing to support Data in Action.   

Blau, J. (2015). Big demand for big data scientists in Europe. Research Technology Management, 58(3), 3. 

Columbus, L. (2017). IBM predicts demand for data scientists will soar 28% by 2020. IBM White Paper

Information for international students

Canterbury Christ Church University welcomes applications from International Students. For more information please visit our website.

Fees and funding

For up to date fee and loan information please visit our website.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification

Course contact details

Name
Course Enquiry
Email
courses@canterbury.ac.uk