Applied Statistical Modelling & Health Informatics

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King's College London, University of London
UK
Provided by: King’s College London

Progression Summary

scholarships available, see fees & funding section for more information. the applied statistical modelling and health informatics course 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. you will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading institute of psychiatry, psychology & neuroscience. the course 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. this course is also suitable if you are a graduate in/work in the fields of psychology, medical/health sciences, bioinformatics, data science, statistics, maths, physics, engineering and natural science, the course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health.

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Start Date

2026-09
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Tuition fees

197,800 .SAR

7.0 overall with a minimum of 6.5 in each skill

a minimum 2:1 undergraduate bachelor’s (honours) degree if you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a masters or pgdip). a bachelor’s degree with 2:1 honours in computer science, mathematics, statistics, physics, natural sciences, electronic engineering, psychology or geographic information systems. in order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree, if you are still studying you should be achieving an average of at least 60% or above in the uk marking scheme. other degrees or professional qualifications may be acceptable, such as the graduate diploma of the royal statistical society.

Full Time