M.Sc. On Campus

Applied Statistical Modelling and Health Informatics

12 months
32940 GBP/year
14070 GBP/year
Tuition fee
Apply date
Start date


The Applied Statistical Modelling and Health Informatics course at King's College London has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences.


The Applied Statistical Modelling and Health Informatics course at King's College London will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts.

Key benefits

  • Specialist careers for those interested in applied statistical modelling and health informatics within a modern information and knowledge-based medical research setting.
  • Valuable insight from those working at the cutting edge of these fields.
  •  A unique flexibly structured programme ideal for researchers in industry and academia hoping to obtain methodological skills to boost their research excellence and employability.
  • Develop your skills in multimodal and big data analysis techniques.
  • Learn how omics, electronic health records, social media, wearables and smartphone data are used to benefit the patient.
  • Apply your skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
  • Access the IoPPN’s statistical and health informatics research groups and benefit from our links with industry and the NHS.
  • Benefit from outstanding career, networking and mentoring opportunities

Career prospects

There is an increasing demand for individuals who can understand and manage information and information systems as well as analyse and interpret complex data in industry, public health sector and academia.

Programme Structure

Courses included: 

  • Introduction to Statistical Modelling 
  • Introduction to Statistical Programming
  • ASMHI Research Project
  • Health Informatics
  • Multilevel and Longitudinal Modelling
  • Prediction Modelling
  • Causal Modelling and Evaluation

Key information


  • Full-time
    • 12 months

Start dates & application deadlines


180 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems.
  • Candidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement.
  • A personal statement is required. (maximum 4,000 characters)
  • A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained.
  • One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago.
  • You may wish to include a CV (Resume) or evidence of professional registration as part of your application.

Tuition Fee

To alway see correct tuition fees
  • International

    32940 GBP/year
    Tuition Fee
    Based on the tuition of 32940 GBP per year during 12 months.
  • National

    14070 GBP/year
    Tuition Fee
    Based on the tuition of 14070 GBP per year during 12 months.


  • National: £7,035 per year
  • International: £16,470 per year

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Applied Statistical Modelling and Health Informatics
King's College London


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