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Healthcare is increasingly shaped by data science, artificial intelligence and digital technologies. From electronic health records and wearable devices to AI-assisted diagnostics and public health monitoring, healthcare systems now generate vast amounts of data with enormous potential to improve patient care and health outcomes. As the use of healthcare data and AI continues to expand, there is growing demand for professionals who can analyse, interpret and communicate complex information responsibly and effectively. This programme is specifically designed for students who may not have previous quantitative training but are motivated to develop expertise in health data science and artificial intelligence. Through a supportive and carefully structured learning experience, students progressively build confidence in statistics, coding, computational methods and data analysis. The programme combines core foundations in statistics, programming and health data science with opportunities to explore specialist areas including machine learning, artificial intelligence, prediction modelling and healthcare evaluation. Designed around flexibility and student support, the programme allows students to tailor their studies around their own interests and future career ambitions 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. Graduates from the programme are well placed for careers across healthcare, digital health, public health, research and healthcare innovation, with opportunities continuing to grow rapidly both within the UK and internationally. Why study this programme Build confidence in a supportive learning environment This programme is designed specifically for students transitioning into health data science from a wide range of backgrounds. Teaching is carefully structured to help students progressively develop confidence in statistics, programming and analytical thinking. You will learn within a welcoming and collaborative academic environment where curiosity, professional development and student support are actively encouraged. Tailor your learning to your ambitions As your confidence and experience develop, optional modules allow you to explore areas aligned with your own interests and career ambitions, including applied statistics, machine learning, healthcare evaluation and artificial intelligence. This flexibility helps students develop distinctive profiles suited to careers across healthcare, industry and research. Learn from experts who care You will study alongside 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 students connect learning to real-world healthcare challenges and innovation.
