Overview
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:
- Statistical Modelling
- Statistical Programming
- ASMHI Research Project
- Health Informatics
- Multilevel and Longitudinal Modelling
- Prediction Modelling
- Causal Modelling and Evaluation
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Applied Mathematics Statistics Health Informatics View 132 other Masters in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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 Fees
-
International Applies to you
Applies to youNon-residents40000 GBP / year≈ 40000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16950 GBP / year≈ 16950 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied Statistical Modelling and Health Informatics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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