Applied Statistical Modelling and Health Informatics MSc
Lead the change in health data science
The postgraduate degree in Applied Statistical Modelling and Health Informatics (MSc/PGDip/PGCert) at King’s College London equips you to tackle pressing challenges in health and healthcare using modern statistical modelling, health data science, and artificial intelligence (AI).
Delivered by the Department of Biostatistics & Health Informatics within the Institute of Psychiatry, Psychology & Neuroscience — a world-leading centre for mental health and neuroscience research — the Master's programme gives you a rigorous foundation in applied statistics, health informatics, and machine learning. You’ll build transferable skills across health and biomedical domains, learning how to turn complex data into evidence that improves care, policy, and research.
The MSc programme welcomes graduates and professionals from a wide range of backgrounds including statistics, data science, health and medical sciences, psychology, and engineering. The MSc combines strong methodological training with hands-on experience of real-world health data — you’ll work with diverse datasets from electronic health records, clinical trials, longitudinal cohort studies, omics, speech and language, and wearable technologies.
You’ll also benefit from close links with the National Health Service (NHS), National Institute for Health and Care Research (NIHR), and connections across King’s research and innovation ecosystem including the London Institute for Healthcare Engineering, King's Health Partners Digital Health Hub, The King's Institute for Artificial Intelligence and The AI Centre for Value Based Healthcare. With access to applied research projects — and clear routes into further study — including our fully funded PhD programme (DRIVE-Health), you’ll graduate ready for roles in health data science, biostatistics, health informatics, digital health, and related areas.
Top 4 reasons to choose the ASMHI MSc
Shape the future of health
Join the Department of Biostatistics & Health Informatics, a global leader in health data science driving innovation in statistical modelling, AI and digital health. Research from the department has a real-world impact on patient care and public health.
Exceptional teaching
Learn from internationally recognised experts in biostatistics, machine learning and health informatics. You'll complete a bespoke research project embedded within an active research team, tackling real-world challenges in health and healthcare.
World-leading reputation
Study at King’s College London, ranked 5th in the UK and in the top 2% of Universities worldwide (QS). The IoPPN faculty is renowned for medical and mental health research, with 90% of research rated world-leading or internationally excellent.
Outstanding employability
Build the analytical, computational, and professional skills that employers highly value. Graduates of the MSc go on to realise their career aspirations, progressing into impactful leadership roles across academia, healthcare and industry.
96% of students reported overall satisfaction with the programme in the 2025 Postgraduate Taught Experience Survey (PTES)
%
Stand Out in a Changing Data Science Job Market
Generative AI is transforming data science, automating many coding and analytical tasks. Employers now seek professionals who combine statistical rigour, critical thinking and a real understanding of health data.
The MSc in Applied Statistical Modelling and Health Informatics helps you stand out. Bringing together advanced statistical modelling, applied machine learning and health informatics, it prepares you for roles where human expertise, not automation, drives real impact in healthcare and research.
NIHR Pre-Doctoral Fellowships
We support students interested in the National Institute for Health and Care Research (NIHR) Pre-Doctoral Fellowship scheme. This fellowship can cover a full two-year training programme - including MSc tuition fees, post-MSc training, and a stipend for two years.
If you're interested, please contact our MSc programme team early to discuss eligibility, research interests and supervisory options. Many recent Pre-Doctoral Fellows have launched their careers via BHI at IoPPN — giving you a real, proven path from ASMHI to funded research and doctoral-level training. See some recent NIHR Pre-Doctoral fellows here.
Hear from former ASMHI students
Every field I now enter, I feel much better equipped to understand, critique, and facilitate the methodological practices used. I can’t really think of anything else I’ve done that has such a high return on investment
Chris Albertyn
Health Data Scientist and Programme Manager in Psychedelic-Assisted Cancer Therapy.
The ASMHI programme gave me everything I needed to know to fully jump into this role with confidence — from developing strong coding skills, to learning the application of statistical modelling, to the understanding of clinical trials.
Louise Macgregor
Clinical Trials Statistician at King's Clinical Trials Unit's Mental Health Statistics Group
The professors were friendly and the department and institute care a lot about students wellbeing. I felt comfortable to explore data analysis in health informatics field and how to apply technical tools to real-world healthcare data.
Fangjing Li
ASMHI MSc Graduate
The MSc empowered me to bridge the gap between biology and statistics, equipping me with the applied skills and confidence to tackle complex health data and drive meaningful insights.
John Jammal
Research Assistant in Bioinformatics at King’s College London