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Healthcare is being transformed by data science, artificial intelligence and digital technologies. From electronic health records and wearable devices to AI-driven diagnostics and public health surveillance, healthcare systems now generate vast amounts of data with enormous potential to improve patient care and health outcomes. The ability to analyse and interpret this data is becoming increasingly important across healthcare, industry and research. Predictive analytics can help identify at-risk populations, machine learning models can support earlier and more accurate diagnosis, and data-driven approaches are shaping everything from personalised treatment strategies to global public health interventions. This programme combines advanced statistical analysis, machine learning, artificial intelligence and computational methods to explore how health data science can drive meaningful healthcare innovation. Designed around flexibility and student choice, the programme allows you to tailor your studies around your own interests and career ambitions. Students can specialise in areas such as prediction modelling, artificial intelligence, machine learning, casual inference and healthcare evaluation while developing highly valued analytical, computational and professional skills. The programme also has strong links with the Civic Health Innovation Labs (CHIL), an internationally recognised multidisciplinary research centre based at the University of Liverpool. CHIL brings together experts from academia, the NHS, local government, charities and industry to develop responsible approaches to data use and AI for health and society. Students have opportunities to engage with dissertation projects linked to areas such as healthcare data analytics, digital health, public health informatics and community health innovation, contributing to cutting-edge research with real-world impact. Graduates from the programme are well placed for careers across healthcare, industry and academia. Demand for professionals with expertise in data science and AI continues to grow rapidly both within the UK and internationally, creating exciting opportunities across healthcare analytics, digital health, research and innovation. Why study this programme Tailor your learning to your ambitions One of the strengths of the programme is its flexibility. Optional module pathways allow you to shape your studies around your own interests, whether focused on applied statistics, prediction modelling, machine learning, artificial intelligence or causal inference. This flexibility helps students develop distinctive skill sets aligned with their future career or research goals. Grow personally and professionally Alongside advanced technical training, you will develop highly valued transferable skills in communication, consultancy, coding and critical thinking. The programme is designed not only to build analytical expertise, but also to prepare students to work confidently across interdisciplinary healthcare, research and industry environments. Learn from experts who care You will study within a welcoming and collaborative academic community supported by approachable staff with expertise across statistics, health data science, artificial intelligence and healthcare research. Teaching is enriched by guest lecturers and research collaborations connected to organisations including the NHS, industry and the Civic Health Innovation Labs (CHIL), helping connect your learning to current real-world challenges and innovation.
