12 monthsProgramme duration
39,800 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Artificial Intelligence for Biomedicine and Healthcare teaches the foundations of AI and how this technology can transform biomedical research, delivery of clinical pathways and improve healthcare.
As a student on the MSc Artificial Intelligence for Biomedicine and Healthcare, you will be introduced to the foundations, use and development of AI approaches within the biomedical, clinical-sciences and healthcare application domains.
From diagnosis, prognosis, treatment selection to drug discovery and resource allocation, Machine Learning and AI are revolutionising the way we approach healthcare. Through its ability to analyse large quantities of complex heterogenous information, AI presents opportunities to improve care and productivity in health and care settings.
Along with foundational and applied training of the next generation of leaders, researchers and engineers in building future AI-based healthcare technologies, this program aims to raise awareness on the risks associated with a society progressively more dependent on AI and provide a learning environment to debate and brainstorm on these timely and pressing concepts. More specifically the programme will encourage students to discuss the ethical benefits that arise as a side effect of the technical capabilities of AI but also ethical issues of AI such as cost to innovation, harm to physical integrity, disappearance of jobs, lack of privacy, transparency, or informed consent.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Artificial Intelligence for Biomedicine and Healthcare teaches the foundations of AI and how this technology can transform biomedical research, delivery of clinical pathways and improve healthcare.
As a student on the MSc Artificial Intelligence for Biomedicine and Healthcare, you will be introduced to the foundations, use and development of AI approaches within the biomedical, clinical-sciences and healthcare application domains.
From diagnosis, prognosis, treatment selection to drug discovery and resource allocation, Machine Learning and AI are revolutionising the way we approach healthcare. Through its ability to analyse large quantities of complex heterogenous information, AI presents opportunities to improve care and productivity in health and care settings.
Along with foundational and applied training of the next generation of leaders, researchers and engineers in building future AI-based healthcare technologies, this program aims to raise awareness on the risks associated with a society progressively more dependent on AI and provide a learning environment to debate and brainstorm on these timely and pressing concepts. More specifically the programme will encourage students to discuss the ethical benefits that arise as a side effect of the technical capabilities of AI but also ethical issues of AI such as cost to innovation, harm to physical integrity, disappearance of jobs, lack of privacy, transparency, or informed consent.
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
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