Overview
The Artificial Intelligence Enabled Healthcare MRes offered by UCL is a one-year stand-alone course (with a two-year part-time option) that provides training and support in advanced research and practical skills for future researchers or healthcare professionals to fit in the modern clinical environment that requires AI and health data science skills.
The course covers the core competencies of artificial intelligence and has a central emphasis on how healthcare organisations work. Ethical training for medical artificial intelligence will be explicitly emphasised alongside a broader approach to responsible research and innovation.
During the course, you will learn the statistical underpinnings of machine learning theory, get a practical grounding in research software engineering and the principles of healthcare and medical research, develop relationships between academia and the NHS, as well as a thorough treatment of topics in machine learning, statistics and principles of data science.
Careers
The distinctive characteristics of the programme allow UCL to produce graduates who are prepared to:
- Engineer adaptive and responsive solutions that use AI to deal with complexity.
- Innovate across all levels of care, from community services to specialist hospitals.
- Be comfortable working with patients and professionals, and responding to their input.
- Appreciate the importance of addressing health needs rather than creating new demand.
Programme Structure
Courses Include:
- Healthcare Artificial Intelligence Journal Club
- Dissertation in Artificial Intelligence Enabled Healthcare
- Health Data Science
- Data Methods for Health Research
- Advanced Methods in Data Science and Statistics
- Artificial Intelligence in Healthcare (AIH)
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
- Applicants who require a visa: 26 Jun
- Applicants who do not require a visa: 28 Aug
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Public Health Health Sciences Artificial Intelligence View 379 other Masters in Artificial Intelligence in United KingdomWhat 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 an upper second class honours undergraduate degree, or a Master's degree in a relevant discipline (or equivalent international qualifications or experience). Our preferred subject areas are Physical Sciences (Computer Science, Engineering, Mathematics and Physics) or Clinical / Biomedical Science. Applicants with a clinical background or degree in Biomedical Science must be able to demonstrate strong computational skills. You must be able to demonstrate an interest in creating, developing or evaluating AI-enabled Healthcare systems.
Tuition Fees
-
International Applies to you
Applies to youNon-residents35400 GBP / year≈ 35400 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16800 GBP / year≈ 16800 GBP / year
Additional Details
Part-time:
- UK: £8,400 per year
- Overseas: £17,700 per 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 Artificial Intelligence Enabled Healthcare.
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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