COURSE CURRICULUM

The core modules in this program provide a strong and practical foundation for working with data in real-world healthcare settings. Statistics for Data Science introduces essential statistical concepts and techniques used to interpret and analyse complex datasets. Fundamentals of Data Science builds core skills in data handling, visualisation and computational methods, ensuring students can work confidently with modern data tools. Health Data Research focuses on the specific nature of health-related data, exploring how it is collected, structured and used to support healthcare delivery and policy. Modelling Data develops the ability to create, evaluate and refine models that help explain patterns, predict outcomes and support decision-making in clinical and organisational contexts. Digital Health and Innovation examines how technology can be used to improve patient experiences, healthcare services and system efficiency, with an emphasis on ethical, user-centred design. Real-World Healthcare Data Analysis brings these elements together, giving students experience in analysing genuine healthcare datasets, solving practical problems and presenting insights in impactful ways. Collectively, these modules equip students with the technical, analytical and critical-thinking skills needed to contribute effectively to data-driven healthcare improvement.