Skip navigation
Data Intelligence at Canterbury Christ Church University - UCAS

Course options

2026 - 2027
Apply

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.

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.

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.

English language requirements

https://www.canterbury.ac.uk/study-here/international/english-language-requirements

Fees and funding

Tuition fees

No fee information has been provided for this course

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

Please see course webpage for up to date fee information.
Data Intelligence at Canterbury Christ Church University - UCAS