Research course

Computer Vision Laboratory (CVL)

University of Nottingham · School of Computer Science

Entry requirements

2:1 (or international equivalent) in computer science or other relevant area.

Months of entry

January, December, November, October, September, August, July, June, May, April, March, February

Course content

Postgraduate study for the degree of PhD is offered in the Computer Vision Laboratory (CVL) in computer science. The degree of MPhil (by thesis) is also available. Postgraduates without sufficient training in computer science at first-degree level may be required to attend appropriate taught modules.

CVL performs basic and applied research in image manipulation, analysis and computer vision. PhD students in the Laboratory develop the new computer vision methods needed to extract quantitative data from images in a wide range of real-world scenarios and applications. Examples include techniques to track moving objects through image sequences, analyse facial expressions to recognize human emotions, and recover geometric descriptions of complex objects from a variety of image types.

A key feature of the Computer Vision Laboratory is its high level of engagement with other disciplines. We, and our research students, have strong links with colleagues in the life and medical sciences, and work closely with the HCI community. Our students work on methods intended for use in systems biology, medical diagnosis and treatment, entertainment and games.

While the Computer Vision Laboratory’s primary aim is to conduct leading edge academic research, CVL also produces high quality and downloadable software tools that have been widely adopted, particularly within life sciences. Evaluation of these methods and tools often requires construction of new data sets. CVL routinely makes these available to the wider community, maximising the impact of our and our students’ work.

Information for international students

English language requirements: IELTS 6.5 (no less than 6.0 in any element).

Qualification and course duration


part time
36 months
full time
72 months


part time
48 months
full time
24 months

Course contact details

Postgraduate Enquiries
+44 (0)115 951 5559