Health data science is transforming healthcare, driven by advances in AI, electronic health records, and wearable technology. The MSc in Applied Statistical Modelling and Health Informatics provides rigorous training in statistics, data science and health informatics - equipping you for a career at the forefront of this rapidly evolving field.
Learn form experts in topics like computational analysis, statistical modelling, machine learning and artificial intelligence at the world-leading Department of Biostatistics and Health Informatics. You'll gain hands-on experience working with real-world health data, including clinical trials, longitudinal studies, omics data and large-scale healthcare datasets.
Our students are graduates and professionals from diverse fields ranging from psychology to computer science. This course prepares you for further research, PhD study, and a variety of roles such as medical statistician, healthcare analyst, clinical AI specialist, or entrepreneurial roles in health-tech, start-ups and spinouts.
We designed this course to meet the demand for professionals who can analyse increasingly complex, large-scale health data. Even if you have no previous programming or statistical experience, you'll develop strong skills in statistical foundations, health informatics, machine learning, and AI - alongside modern computational approaches and applied research. This prepares you to work confidently across academic, healthcare, and industry settings.
Course content
We cover key topics like big data acquisition, information retrieval, predictive modelling, casual inference, and ethical data governance. Your training begins with foundational skills and progresses to optimal modules that allow you to specialise and tailor your learning to your interests.
Your new knowledge and skills come together in your independent research project. Here, you can tackle a real-world health data challenge, working closely with your academic supervisor and active research groups within the Department.
Throughout your time at King's, you'll be part of a multidisciplinary cohort within the renowned Department of Biostatistics and Health Informatics. Our strong industry links and collaborative environment feed into your experience, creating a rich setting for building your professional network whilst exploring emerging health technologies, data governance and ethics.
Denmark Hill, in Southwark, London, is a vibrant area known for its historical landmarks and green spaces. Home to King's College and the Maudsley Hospitals, it also features Ruskin Park, named after John Ruskin, and the Camberwell College of Arts.