Health data in practice: human-centred science    

The availability, scale and depth of data collected about patients and its data-driven analysis is creating a paradigm shift in the delivery of healthcare. Machine learning and other automated methods of analysis will only provide useful insights for health and care if we understand how health data is generated, interpreted and used. Human-centred data science operates ‘at the intersection of human-computer interaction’ while preserving ‘the richness associated with traditional methods while using the power of large datasets.’ This concept informs this doctoral programme.

Our programme introduces the wider context, enabling students to draw on a range of concepts, disciplines and sciences underpinning algorithmic designs, human interactions, evaluation and decision-making, in real-world settings across diverse populations.

Our goal is to develop scientific leaders who can apply interdisciplinary perspectives to research and innovations in health data science for the benefit of patients, the public, healthcare systems and society.