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University of Glasgow: Cancer Pathology and Advanced Technologies
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Cancer Sciences |
| Web | glasgow.ac.uk |
| Study type | Taught |
MSc
Summary
Computational approaches to cancer research, including machine learning, digital pathology, spatial relationships and big data are changing the way we look at disease. This programme will introduce students to emerging digital technologies that are changing the future of cancer research and guide the next generation of researchers on how to interpret these data outputs.
Why this programme - Utilise cutting-edge facilities, research and teaching experience at the University of Glasgow and Queen Elizabeth University Hospital.
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Take part in seminars from world-class leaders in the field.
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Benefit from partnerships with the NHS and industrial collaborators, including Bioclavis, Canon, Hamamatsu, Oracle Bio and Visiopharm.
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Learn at the cutting edge of advances in pathology and medicine, experiencing the changing landscape of these areas as they progress with an in-depth seminar series from industry leaders, hands on digital pathology work using Qupath and introduction to Vis and AI and visit the Glasgow Tissue Research Facility and Wolfson Wohl Cancer Research Centre.
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NHS and industry roles are increasingly incorporating digital pathology and AI approaches, and our programme offers a uniquely comprehensive training in these areas which can be found in few institutes in the UK.
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This programme is lead by Professor Joanne Edwards, Dr Jen Hay, Professor Helen Wheadon, Dr Laura Richmond and Dr. Noha-Ehssan Mohamed.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | 2.1 Hons (or non-UK equivalent) in Biomedical Sciences, Biochemistry, Biotechnology, Genetics, Pharmacology, Molecular and Cellular Biology, Physiology, Anatomy or Pathology with at least 40% of credit bearing modules in Life Sciences at an average grade of pass. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
Summary
Computational approaches to cancer research, including machine learning, digital pathology, spatial relationships and big data are changing the way we look at disease. This programme will introduce students to emerging digital technologies that are changing the future of cancer research and guide the next generation of researchers on how to interpret these data outputs.
Why this programme - Utilise cutting-edge facilities, research and teaching experience at the University of Glasgow and Queen Elizabeth University Hospital.
-
Take part in seminars from world-class leaders in the field.
-
Benefit from partnerships with the NHS and industrial collaborators, including Bioclavis, Canon, Hamamatsu, Oracle Bio and Visiopharm.
-
Learn at the cutting edge of advances in pathology and medicine, experiencing the changing landscape of these areas as they progress with an in-depth seminar series from industry leaders, hands on digital pathology work using Qupath and introduction to Vis and AI and visit the Glasgow Tissue Research Facility and Wolfson Wohl Cancer Research Centre.
-
NHS and industry roles are increasingly incorporating digital pathology and AI approaches, and our programme offers a uniquely comprehensive training in these areas which can be found in few institutes in the UK.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | 2.1 Hons (or non-UK equivalent) in Biomedical Sciences, Biochemistry, Biotechnology, Genetics, Pharmacology, Molecular and Cellular Biology, Physiology, Anatomy or Pathology with at least 40% of credit bearing modules in Life Sciences at an average grade of pass. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
The University of Glasgow is one of the UK’s most prestigious seats of learning, and the fourth oldest university in the English speaking world. Established in 1451 and recognised for its world-changing research and teaching, our people have always been at the forefront of innovation, including eight Nobel Laureates, two UK Prime Ministers, three First Ministers of Scotland, 10 Fellows of the Royal Society and 11 Fellows of the British Academy. Our past achievements inspire our current world changers.
Rankings
The University:
- is ranked 79th in the world: QS World University Rankings 2025
- is …
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