Research course

Computing Sciences

Institution
University of East Anglia · School of Computing Sciences
Qualifications
PhDMPhilMSc by research

Entry requirements

For entry on to the MSc by Research, MPhil and PhD programmes, we would normally expect an applicant to hold a 2:1 honours degree, or equivalent, in a relevant subject.

Months of entry

January, October, July, April

Course content

Our research is organised into three laboratories: The Graphics, Vision and Speech Laboratory addresses problems that range over analysis, recognition and generation of both images and speech. These technologies have common theoretical foundations, and are integrated in our research on lip-reading, audio-visual speech synthesis and avatars. Our laboratories are equipped with fast graphics computers, spectrometers, 3D displays, haptic devices, a soundproof recording booth and an eight camera video-based motion capture system. Recent notable successes include the development of the leading colour constancy and white balancing algorithms which have been implemented in a commercial camera and state-of-the-art lip-reading systems. The group has spun out companies in the areas of image processing for art, colour image processing and water leak detection. The Computational Biology Laboratory focuses on research spanning the biological hierarchy, from genome through to ecosystem. The laboratory provides an interdisciplinary environment for research and education, specialising in the computational and mathematical sciences. Areas of research include biological pattern recognition, protein structure, imaging, RNA bioinformatics, growth and development, phylogenetics, medical bioinformatics and systems biology. In addition to carrying out internationally-leading research with national and international partners, the laboratory has strong links with the School of Biological Sciences, the John Innes Centre, the Institute of Food Research, The Sainsbury Laboratory, The Genome Analysis Centre and the Norfolk and Norwich University Hospital. The Machine Learning and Statistics Laboratory combines researchers from machine learning, data mining, statistics and software engineering. Members are developing analysis approaches for “Big Data” processing, linkage, model selection and analysis, aimed at large and complex social and health databases and real-time data. They also analyse real time and historical data to support software development. The work is funded by ESRC as part of the Local Government and Business Big Data Research Centre. This partnership, led by the University of Essex with UEA and the University of Kent, will place the three universities at the forefront of the UK’s Big Data network. The group also has a long-standing collaboration with Aviva. The group is also funded by the EPSRC to conduct research into time series classification. Algorithms they have recently developed are currently the best known in the world at this particular task and are being applied in collaboration with the Institute of Food Research, Imperial College and the Vermont Energy Corporation to a range of real-world problems, with the potential for genuine societal and economic impact.

Information for international students

English entry requirements are: IELTS 6.5 (with 6.0 in all components) or equivalent qualification.

Qualification and course duration

PhD

part time
72 months
full time
36 months

MPhil

part time
48 months
full time
24 months

MSc by research

full time
12 months

Course contact details

Name
Postgraduate Research Service
Email
pgr.enquiries.admiss@uea.ac.uk
Phone
+44 (0) 1603 591 709