Canterbury Christ Church University · Full-time
Data Intelligence
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,…
MSc1 yearFull-time
Browse computer science courses in UK
School of Engineering, Technology and Design · Computing
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.
Getting in
As the university states it
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.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.