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FAQs & Discover more

Book a meeting with our academic team

If you would like to explore Applied Statistical Modelling & Health Informatics in more detail, you can book a meeting with our team. We'll be happy to talk through the course content, application process and answer any questions you may have about life at King's. 

Meet our subject experts

Professor Richard Dobson
Professor Richard Dobson

Professor Dobson is a leader in health informatics, bioinformatics and mobile health platforms.

Professor Daniel Stahl
Professor Daniel Stahl

Profess Stahl specialises in prediction modelling; the intersection between statistics, health informatics, and clinical research.

Professor Ben Carter
Professor Ben Carter

Professor Carter specialises in clinical trials and statistical methodology, advancing how studies are designed and analysed in psychiatry and neurology.

Dr Nicholas Cummins
Dr Nicholas Cummins

Dr Cummins applies AI, machine learning, and speech analysis to understand mental and physical health through voice and behaviour.

Professor Kimberley Goldsmith
Professor Kimberley Goldsmith

Professor Goldsmith specialises in the design and analysis of complex clinical trials in mental health and neuroscience.

Explore our world-leading impact

The Applied Statistical Modelling & Health Informatics programme equips students to generate real-world impact across research, industry, healthcare, and education. Below you will find some examples of our industry collaborations, exemplary projects and outcomes that demonstrate how our graduates and students can be part of making an impactful change. Learn more about our department's research impact on our faculty webpages.

Foresight Large Language Model

  • The world’s first national-scale foundation model of electronic health records, trained on de-identified NHS data from 57 million patients. Foresight predicts COVID-related health outcomes at population scale, supporting earlier intervention and improved patient care. Read more about the Foresight Large Language Model.

CogStack AI

  • An AI-powered information retrieval and NLP platform that unlocks unstructured data from electronic health records, supporting clinical decision-making, research, and safe, data-driven innovation in healthcare. Read more about CogStack AI. 

RADAR-Base and RADAR-CNS Programmes

  • Large-scale digital health platforms using smartphone and wearable data to monitor mental and physical health. Adopted globally across more than 50 studies and 150,000 participants, spanning conditions from depression and psychosis to epilepsy and heart disease. Read more about RADAR-CNS.

Mental Health & Neuroscience Clinical Trial Statistics Group

  • A specialist group designing and analysing psychiatric and neuroscience clinical trials, with a strong NIHR-funded portfolio. Research ranges from early-phase studies to large multi-site trials that directly inform clinical practice.

DRIVE-Health Doctoral Training Centre

  • An EPSRC-funded Centre for Doctoral Training in Data-Driven Health, delivering interdisciplinary PhD training in AI, machine learning, and health data science. Strong links provide clear pathways from MSc study into impactful doctoral research.

Air Pollution and Mental Health Research

  • Population-based research showing that even small increases in air pollution exposure are associated with a higher risk of requiring mental health treatment.

Digital Parenting Interventions During COVID-19

  • Research demonstrating that a smartphone parenting app reduced child emotional difficulties during the COVID-19 pandemic, highlighting the potential of digital tools to support family mental health.

Smartphone Use and Adolescent Anxiety

  • NIHR-funded research identifying links between problematic smartphone use and increased risk of anxiety, depression, and sleep problems among teenagers.

Misophonia Prevalence Research

  • Large-scale research revealing that approximately one in five people in the UK experience misophonia, a condition characterised by strong negative reactions to everyday sounds.

Data Mining of Electronic Health Records

  • Research using large-scale electronic health record data to investigate adverse effects of psychiatric medications, improving drug safety monitoring and clinical insight.

Massive-Scale AI on De-identified NHS Data

  • A population-level AI project training models on routinely collected NHS records to predict healthcare needs and identify opportunities for early intervention.

NIHR Maudsley BRC Prediction Modelling Group

  • A research group developing and evaluating risk and treatment-response models for psychiatric outcomes, advancing the real-world use of prediction models in mental health care.

Voice and Speech Processing Group

  • A responsible-AI research group developing digital biomarkers from speech and conversational data to study mood, cognition, and neurological conditions.

I am hoping to train in the future to be a clinical psychologist. Does King’s offer a Masters in Clinical Psychology?

At the IoPPN we offer a wide range of MSc programmes: while this means that there are diverse entry points, they are broadly similar in the outcomes they enable, and ALL of our programmes can provide you with the kind of experience you would need for future clinical psychology training.

Whether students study broader areas such as Mental Health Studies, Developmental Psychology and Psychopathology or Neuroscience, or more specific areas such as Affective Disorders or Early Interventions in Psychosis, these programmes are all designed to develop a strong grounding in psychological theory, research methods, and critical thinking.

Crucially, they offer opportunities to gain the kinds of experience that are highly valued for progression to doctoral training in clinical psychology: engagement with research (including through a research project), exposure to clinical or applied topics, and the development of transferable skills such as data analysis, academic writing, ethical reasoning, and working with complex human problems.

Many programmes also provide pathways to gain relevant experience alongside study, either through formal placements or volunteering opportunities within the rich clinical and research environment of King’s and its NHS partners. These can be invaluable in putting our graduates in a strong position to apply for roles in which they will gain the additional clinical experience so essential for a strong clinical psychology application in the future.

As a result, while the thematic focus of each MSc may differ, they are equally well placed to prepare graduates for competitive applications to clinical psychology training in the longer term, and in conjunction with clinical and other experience, by equipping them with comparable academic foundations, research experience, and insight into clinical contexts.

How should I select an IoPPN MSc programme if they all provide a foundation for future clinical psychology training? Are some more difficult to gain a place on than others?

We strongly recommend applying to the programme(s) most aligned with your interests. Each programme’s prospectus page contains detailed information on course content. Note that some programmes have specific entry requirements around professional experience and/or undergraduate degree specialisms. Offer rates by programme differ according to a number of different factors, including presence of programme-specific entry requirements, applicant demand and teaching capacity. For transparency, the application to offer rates for 2025/6 entry are provided below:

  • MSc Addictions: 81%
  • MSc Affective Disorders: 86%
  • MSc Applied Statistical Modelling & Health Informatics: 85%
  • MSc Child & Adolescent Mental Health: 32%
  • MSc Clinical Neurodevelopmental Sciences: 80%
  • MSc Clinical Neuropsychiatry: 67%
  • MSc Clinical Neuroscience: 56%
  • MSc Developmental Psychology & Psychopathology: 60%
  • MSc Early Intervention in Psychosis: 88%
  • MSc Family Therapy: 28%
  • MSc Forensic Mental Health: 43%
  • MSc Global Mental Health: 78%
  • MSc Health Psychology: 52%
  • MSc Mental Health Studies: 79%
  • MSc Clinical Psychotherapy: 22%
  • MSc Neuroscience: 93%
  • MSc Organisational Psychiatry & Psychology: 66%
  • MSc Psychiatric Research: 81%
  • MSc Psychology and Neuroscience of Mind-Body Interface: 57%
  • MSc War & Psychiatry: 73%

Detailed admissions statistics for all programmes for the five academic years prior to this are also available.

Can I apply for more than one IoPPN MSc programme?

Yes, but we strongly advise you submit a different personal statement tailored to each programme you apply for. Please note that each programme also requires a separate application fee.