12 monthsProgramme duration
36,800 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Master's
Study Mode
On Campus
The Artificial Intelligence Enabled Healthcare MRes 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.
As part of the MRes, alongside the core and elective modules, you will complete a substantial Master’s-level project of your choice, working with a supervisory team that consists of a group of clinicians and academics. As a cohort of the MRes course, students will also participate in a range of seminars, training programmes, placements and other activities at the UCL Institute of Health Informatics.
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.
As part of the MRes, alongside the core and elective modules, you will complete a substantial Master’s-level project of your choice, working with a supervisory team that consists of a group of clinicians and academics. As a cohort of the MRes course, students will also participate in a range of seminars, training programmes, placements and other activities at the UCL Institute of Health Informatics.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Master's
Study Mode
On Campus
The Artificial Intelligence Enabled Healthcare MRes 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.
As part of the MRes, alongside the core and elective modules, you will complete a substantial Master’s-level project of your choice, working with a supervisory team that consists of a group of clinicians and academics. As a cohort of the MRes course, students will also participate in a range of seminars, training programmes, placements and other activities at the UCL Institute of Health Informatics.
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.
As part of the MRes, alongside the core and elective modules, you will complete a substantial Master’s-level project of your choice, working with a supervisory team that consists of a group of clinicians and academics. As a cohort of the MRes course, students will also participate in a range of seminars, training programmes, placements and other activities at the UCL Institute of Health Informatics.
Admission Requirements
76+
4.5+
180+
7+
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.
1 Year
Sep
Tuition fees
Domestic
16,800 GBP
International
36,800 GBP
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