Overview
The Artificial Intelligence and Digital Health course from University of Westminster provides you with the necessary tools, methods, and experiences in using AI to analyse complex datasets. These datasets will be drawn from various aspects of healthcare, including diagnosis, disease prevention and wellness promotion. While you complete your bespoke data-intensive dissertation project in health, you’ll have the opportunity to use advanced computational tools and machine learning algorithms to identify novel personalised healthcare interventions.
Benefitting from the UK’s influential role in healthcare data, and our location in London, a hub of global AI development, you’ll learn about datasets, integrating genomic and clinical data from initiatives such as the UK Biobank, Genomics England and Pharm GKB, exploring patterns and hidden associations to inform diagnosis and treatment decisions. With leading companies like Google Deep Mind and the Alan Turing Institute based in London, you’ll be immersed in innovation. The University of Westminster and its courses are located in London.
Job roles
This course will prepare you for a number of roles, including:
- AI researcher
- Data scientist
- Healthcare IT specialist
- Precision medicine consultant
- Researcher/PhD student
- Digital Health Strategist
- Clinical Informatics Specialist
- Bioinformatics Analyst
- AI Policy Analyst
- Genomic Data Scientist
- Digital Health Project Manager
- User Experience (UX) Designer for Digital Health
- Health Data Analyst
- Machine Learning Engineer in Healthcare
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Health Inequalities and Health Promotion
- Policy and Practice of Social Prescribing and Wellbeing
- Professional Development for Leadership
- Wellbeing and Resilience in the Workplace
- Global Approaches to Health and Wellbeing
- Postgraduate Research Methods for Health Sciences
- Research Methods and Research Project for Health Sciences
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Health Sciences Artificial Intelligence View 931 other Masters in Health Sciences in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A minimum of a lower second class honours degree (2:2) in a relevant discipline including health or allied health related subject, or in social care related subjects.
- If your first language is not English, you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.
- Applicants are required to submit one academic reference.
- Biomedical Sciences, Applied Biotechnology, Computer Science or a closely related discipline.
- Professional qualification of equivalent status and associated work experience or an equivalent qualification deemed suitable by the course team.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents17500 GBP / year≈ 17500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10700 GBP / year≈ 10700 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
Check for any work restrictions
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence and Digital Health.
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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