Taught course

Applied Statistical Modelling and Health Informatics

Institution
King's College London · Division of Psychology and Systems Sciences
Qualifications
MSc

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Entry requirements

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 with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.

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.

Other degrees or professional qualifications may also be acceptable such as the Graduate diploma of the Royal Statistical Society.

Months of entry

September

Course content

This 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 statistical, 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.

This course is also suitable if you are a graduate in/work in the fields of computer science, maths, physics, engineering and natural science, including psychology and medicine.

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.

Qualification, course duration and attendance options

  • MSc
    part time
    12 months
    • Distance learningis available for this qualification
    full time
    12 months
    • Distance learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
admissions@kcl.ac.uk