MSc Data Intelligence at Canterbury Christ Church University

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.

Department: Engineering and Computing  |  Duration: 1 year (Full-time)  |  Study mode: full-time  |  Intake: September 2027  |  Location: Canterbury, England, United Kingdom

What you will study

Collect and process large and complex datasets to support effective decision-making. Apply machine learning and AI techniques to analyse data and reveal patterns. Core modules include Visual Analytics and Immersive Technologies, Big Data Database Development, AI for Data Intelligence, PG Computing Research Project, PG Challenge Module.

Career pathways

Career opportunities include: Charities are in need of data intelligent professionals to help empower social change campaigns to the identification of empathetic target audience for increase revenues streams., Commercial organisations value data intelligence to identify business opportunities, spot trends, evidence for decisions, and when to flip business and rapid transformation operations to ensure continuous sustainable economic growth. For example, identification of new business locations that have sustainable local demand, raw materials, logistics, and potential employees with the right skill sets., Government ministries like the Ministry for Health and Social Care are employing data scientists to identify improvements in healthcare and public health functions policy and practice to automate and increase efficiencies of medical diagnostic solutions., Environmental agencies employ data scientists to identify and predict environmental challenges and priority areas to be addressed., Government and businesses valued data scientists informing the science of spread, hotspots and behaviour of virus pandemic as data science helps to inform the science further, identify risks factors, solutions, policy, and practice., Data architecture for online retailers, designing automated data analysis data models to support business strategic data needs of understanding and optimising business retail revenue streams and improvements..

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