12 monthsProgramme duration
40,800 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This MSc covers the core technology and applications of the latest medical imaging tools currently available in healthcare, as well as new developments and the valuable data and analysis that can be extracted from them.
You will explore core methods and techniques in both AI and medical imaging, and undertake your own piece of research to put your skills into practice working on clinically relevant problems. Explore topical challenges like medical image segmentation, quantifying pathological regions in medical images, improving imaging-based diagnosis and treatment response prediction, working alongside UCL’s researchers who are helping to shape and influence new developments in this exciting field.
There’s a lot of flexibility too, with the chance to add in optional modules. The course spans the departments of UCL Medical Physics and Biomedical Engineering and UCL Computer Science, so you can focus on computing, study AI and computational modelling in surgery, or learn more about med-tech entrepreneurship if you’re interested in exploring a start-up career path.
You will have regular opportunities to connect, collaborate and build professional contacts as part of your Master’s, as well as:
You will explore core methods and techniques in both AI and medical imaging, and undertake your own piece of research to put your skills into practice working on clinically relevant problems. Explore topical challenges like medical image segmentation, quantifying pathological regions in medical images, improving imaging-based diagnosis and treatment response prediction, working alongside UCL’s researchers who are helping to shape and influence new developments in this exciting field.
There’s a lot of flexibility too, with the chance to add in optional modules. The course spans the departments of UCL Medical Physics and Biomedical Engineering and UCL Computer Science, so you can focus on computing, study AI and computational modelling in surgery, or learn more about med-tech entrepreneurship if you’re interested in exploring a start-up career path.
You will have regular opportunities to connect, collaborate and build professional contacts as part of your Master’s, as well as:
- Benefit from our national and international collaborations across the clinical, industrial and academic sectors. We have close links with many London hospitals, and also work with organisations like the National Physical Laboratory, Institute of Nuclear Medicine, and Institute of Neurology. A wide range of MedTech companies have spun out of departmental research.
- Work within research groups, and across UCL departments.
- Network with external partners and showcase outputs to potential employers at private industry events and clinical centres.
- Tap into our partnerships with charities, research councils and international organisations.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This MSc covers the core technology and applications of the latest medical imaging tools currently available in healthcare, as well as new developments and the valuable data and analysis that can be extracted from them.
You will explore core methods and techniques in both AI and medical imaging, and undertake your own piece of research to put your skills into practice working on clinically relevant problems. Explore topical challenges like medical image segmentation, quantifying pathological regions in medical images, improving imaging-based diagnosis and treatment response prediction, working alongside UCL’s researchers who are helping to shape and influence new developments in this exciting field.
There’s a lot of flexibility too, with the chance to add in optional modules. The course spans the departments of UCL Medical Physics and Biomedical Engineering and UCL Computer Science, so you can focus on computing, study AI and computational modelling in surgery, or learn more about med-tech entrepreneurship if you’re interested in exploring a start-up career path.
You will have regular opportunities to connect, collaborate and build professional contacts as part of your Master’s, as well as:
You will explore core methods and techniques in both AI and medical imaging, and undertake your own piece of research to put your skills into practice working on clinically relevant problems. Explore topical challenges like medical image segmentation, quantifying pathological regions in medical images, improving imaging-based diagnosis and treatment response prediction, working alongside UCL’s researchers who are helping to shape and influence new developments in this exciting field.
There’s a lot of flexibility too, with the chance to add in optional modules. The course spans the departments of UCL Medical Physics and Biomedical Engineering and UCL Computer Science, so you can focus on computing, study AI and computational modelling in surgery, or learn more about med-tech entrepreneurship if you’re interested in exploring a start-up career path.
You will have regular opportunities to connect, collaborate and build professional contacts as part of your Master’s, as well as:
- Benefit from our national and international collaborations across the clinical, industrial and academic sectors. We have close links with many London hospitals, and also work with organisations like the National Physical Laboratory, Institute of Nuclear Medicine, and Institute of Neurology. A wide range of MedTech companies have spun out of departmental research.
- Work within research groups, and across UCL departments.
- Network with external partners and showcase outputs to potential employers at private industry events and clinical centres.
- Tap into our partnerships with charities, research councils and international organisations.
Admission Requirements
7+
180+
76+
4.5+
A minimum of an upper second-class Bachelor’s degree in Computer Science, Engineering, Physics or related fields from a UK university or an overseas qualification of an equivalent standard. Undergraduate level knowledge in programming languages (such as Python or C++) is essential, demonstrated, e.g., by relevant courses or by an individual project they worked on during their UG. Undergraduate level knowledge of mathematics is also required, in algebra, analysis and probability. Applicants must show an interest in developing thinking and problem-solving skills.
1 Year
Sep
Tuition fees
Domestic
19,300 GBP
International
40,800 GBP
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