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Data Intelligence (Taught)

Course details
  • MSc
  • 1 Years
  • Full-Time
  • September 2027
  • Postgraduate
Course location
Main Site

Course summary

Develop the skills to turn data into meaningful insight with the MSc Data Intelligence at Canterbury Christ Church University.

This course is designed to teach you how to use data responsibly and effectively to make a real impact in business, the environment, and society. You'll learn how to gather, analyse, and present complex data sets and how to apply your findings to real-world challenges.

What you’ll learn

  • Collect and process large and complex datasets to support effective decision-making.

  • Apply machine learning and AI techniques to analyse data and reveal patterns.

  • Design ethical data solutions that address bias and promote inclusivity.

  • Explore the legal, ethical, and social issues of Big Data.

  • Develop the confidence and leadership skills to manage data projects in professional settings.

Through hands-on learning, you’ll explore key areas such as artificial intelligence, machine learning, data visualisation, and statistical modelling, whilst also examining the legal, ethical, and social responsibilities that come with working in data science. This course will help you understand how to identify and reduce bias in data, ensuring that the insights you produce are inclusive, transparent, and trustworthy.

Guided by experienced lecturers and supported by a collaborative learning environment, you’ll develop the technical knowledge and critical thinking needed to succeed in this fast-growing field.

Whether you’re aiming for a career in business analytics, AI development, or data-driven policy, this course will prepare you for a range of professional roles that demand both technical skill and ethical awareness.

Specialist facilities
You'll study in our multimillion-pound STEM building, Verena Holmes, with direct access to four extensive computing labs equipped with up-to-date technology, virtual reality facilities, and a makerspace where you can collaborate on projects with other students.

Modules

Assessment method

You will be assessed by both coursework and computer based assessments. Essentially the programme is 100% coursework assessment. The coursework assessments will enable you to demonstrate the development of your key scientific and transferable skills.

Open days

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.

English language requirements

For more information on the IELTS (International English language Testing System) requirements for this course, please view our dedicated IELTS web page.https://www.canterbury.ac.uk/study-here/international/english-language-requirements

Fees and funding

Tuition fees

Per year tuition fees

LocationFeeYear
England, Scotland, Wales & Northern Ireland£9790

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

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