Scholarships available, see Fees & Funding section for more information.
Our Applied Statistical Modelling and Health Informatics course equips you with cutting-edge knowledge and practical, industry-relevant skills in multimodal and big data analysis—areas of growing importance and recognised shortage across health data science and related fields.
You’ll receive world-class training in applied statistics, machine learning, and computational methods, with opportunities to apply your skills to real-world datasets at the Institute of Psychiatry, Psychology & Neuroscience—a global leader in mental health and neuroscience research, education and training.
The programme emphasises skills that are directly transferable to both industry and academic research, including data wrangling, reproducible analysis, statistical modelling, and communicating complex results to diverse audiences.
It is ideal for graduates aiming for careers in medical statistics, health informatics, data science or clinical research, across both academic and industry settings. It is open to those with a background in psychology, health sciences, bioinformatics, data science, statistics, mathematics, physics, engineering or the natural sciences, either through undergraduate study or relevant work experience.
The course prepares you to meet the growing demand for robust, data-driven approaches to information processing and knowledge generation across healthcare, academia, and the wider data science landscape.
Our course addresses the urgent demand for advanced methodological training to make the most of the expanding availability of complex, large-scale health data. With a focus on strong statistical foundations and practical, real-world applications, the programme prepares you to work confidently across both academic and industry settings.
Modern healthcare data is diverse and rapidly evolving—ranging from electronic health records and genetic profiles to imaging data, real-time physiological signals from wearables, social media activity, and environmental exposures. Analysing this data effectively requires new skills in data acquisition, processing, integration, and interpretation. Our programme gives you the tools to manage and analyse this data using state-of-the-art techniques in statistical modelling and health informatics.
You’ll develop core competencies in big data acquisition, information retrieval, predictive modelling, and causal inference. Training begins at an introductory level and progresses through a suite of optional modules that let you tailor your learning to your interests and career goals.
Throughout the programme, you’ll:
You’ll join a multidisciplinary cohort of students from diverse academic and professional backgrounds, providing a rich environment for exploring global challenges in data governance, ethics, and emerging technologies. The programme offers a unique opportunity to build a professional network and strengthen your career prospects.
Course type:
Master's
Delivery mode:
In person / Classroom & Online
Study mode:
Full time
Duration:
One Year
Credit value:
UK 180/ECTS 90, UK 120/ECTS 60, UK 60/ECTS 30
Application status:
Closed
Start date:
September 2026
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.