The volume of health data is increasing exponentially in the digital age, providing more data for health management and research. In this subject you will gain an understanding of what 'big data# is, why it is important to the health and healthcare sectors, and how it can be used in real-world applications. You will explore the requirements for research infrastructure, review the current big data landscape(including assets, facilities and services) and investigate the requirements around information security in relation to big data in digital health. Data linkage techniques and various strategies to tackle problems relating to data linkage quality will be explored and you will investigate how the Internet of Medical Things (IoMT) can benefit health research using compatible devices, apps and research platforms. You will develop a working knowledge of the analytical techniques used to mine big data including machine learning, predictive analytics, forecasting, visualisation, simulation and complex event processing for use in healthcare and in public health.

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Graduate Capabilities

Intended Learning Outcomes