Welcome to the MSc in Applied Statistical Modelling and Health Informatics

Congratulations on receiving an offer to join our world-leading MSc in Applied Statistical Modelling and Health Informatics (ASMHI) at King’s College London!

This programme equips you with the skills, expertise, and connections to thrive in the fast-evolving world of health data science. Whether you aim to work in healthcare, research, or industry, this MSc offers an unparalleled combination of statistical modelling, informatics, and real-world application.

This is where you can access the information and insight you need, whenever you need it. From your course overview to taster lectures to videos from current students - it's all here!

Don’t forget you can contact current students on Unibuddy at any time with questions you might have, and join our Unibuddy Community (coming soon) to chat with fellow offer holders.

Professor Juliet Foster, Dean of Education, shares a warm welcome to the 2025 offer holders of the Institute of Psychiatry, Psychology & Neuroscience.

• Explore our content below to find out more about our Applied Statistical Modelling & Health Informatics course.
• Chat 1-2-1 with one of our current students on Unibuddy.
• Find out more about our available scholarships of £5000
• Take an online tour of our Denmark Hill Campus - home of the Department of Biostatistics & Health Informatics.
• Join our postgraduate Unibuddy Community (coming soon) to chat with other offer holders for your course.
• Confirm your place and take the next step towards an exciting future in health informatics and statistical modelling!

The Department of Biostatistics and Health Informatics is offering scholarships of £5000 for Applied Statistical Modelling & Health Informatics MSc, for the 2025/26 academic year. 

Find out more and apply

Join our WeChat group for postgraduate offer holders of courses at the Institute of Psychiatry, Psychology & Neuroscience. Here you can out more about events and information for offer holders from China, and ask your questions to current postgraduate students.

Join the group or scan the QR above. 

Ruby is a Student Ambassador for the MSc Applied Statistical Modelling and Health Informatics at KCL, currently in her second year of the part-time Masters degree. She is particularly interested in biostatistics and informatics in mental health research, and likes to knit and read in her spare time. 

Start a chat.

The Department of Biostatistics and Health Informatics at King’s College London is a global leader in advancing data-driven healthcare solutions. Our work is regularly featured in the media, showcasing cutting-edge research on topics like AI in healthcare, predictive analytics, and mental health informatics. With collaborations spanning the NHS, industry giants, and leading academic institutions worldwide, we bridge the gap between research and real-world impact, shaping the future of health and medicine.

The department is structured into two primary research themes:

1. Biostatistics

This theme focuses on developing and applying statistical methodologies in mental health research. Key areas include:

• Prediction Modelling and Personalised Medicine: Creating models to predict health outcomes and tailor treatments to individual patients.
• Causal Evaluation and Analysis of Therapeutic Mechanisms: Investigating the underlying causes of diseases and the mechanisms through which treatments exert their effects.
• Psychometrics & Measurement Lab: Developing and refining tools to measure psychological variables accurately.
• Life Course Research: Studying how factors throughout a person's life influence health outcomes.
• Mental Health Clinical Trial Statistics and Methodology: Designing and analysing clinical trials to improve mental health interventions.

1. Health Informatics

This theme is dedicated to translational bioinformatics and its application to complex diseases. The team comprises data and computer scientists, research software engineers, and clinical and bio-informaticians. Their work includes:

• Utilising 'Omics Data: Integrating genomic and other biological data to understand disease mechanisms.
• Electronic Health Records (EHR) Analysis: Leveraging EHRs for research and improving patient care.
• Exposome Studies: Examining how environmental exposures affect health.
• Smartphone and Wearable Technology: Using mobile devices to monitor health in real-time and provide tailored care.

1. World-Class Faculty Expertise
   Learn from experienced academics and industry leaders specialising in statistical modelling, health informatics, and real-world healthcare applications.
   2. Industry-Relevant Curriculum
   Our programme integrates cutting-edge statistical techniques and health informatics tools to address modern healthcare challenges.
   3. State-of-the-Art Resources
   Access advanced software, tools, and datasets that mirror professional environments, ensuring you’re ready for the workplace.
   4. Tailored Career, Academic and Personal Development
   Benefit from bespoke development support, including CV workshops, interviewing skills, academic skills, research skills and more.
   5. Interdisciplinary Learning
   Collaborate with students from diverse fields such as computer science, engineering, and healthcare, broadening your perspective and skill set.
   6. Real-World Applications
   Engage with live projects and case studies that tackle current issues in healthcare, giving you hands-on experience to build your confidence.
   7. Exceptional Graduate Outcomes
   Join our alumni network thriving in top-tier organisations, from the NHS and biotech companies to global healthcare analytics firms.
   8. Location
   Study at the heart of Mental Health research,@ the Institute of Psychiatry, Psychology and Neuroscience, a hub for healthcare innovation, research collaborations, and networking opportunities.
   9. Dedicated Support for Your Success
   From academic mentoring to wellbeing services, we ensure you have the support you need to excel throughout your MSc journey.
   10. Strong Research and Industry Connections
   We collaborate with the NHS, industry leaders, and top academic institutions worldwide, giving you direct exposure to pioneering research and career opportunities.
   

International student, Fangjing Li, shares her experiences studying the Applied Statistical Modelling & Health Informatics Course at King's College London. 

Discover more about our Denmark Hill campus and what it's like to live in the area.

• Camberwell virtual treasure hunt
• Denmark Hill Campus Tour
• Life in Denmark Hill