Computer Science

Entry requirements

First or second class honours degree in a relevant subject.

Months of entry

February, October

Course content

This programme offers the opportunity to work alongside academic staff whose research has been internationally recognised. Researchers in the School include Distinguished Professor of Image Engineering, Professor Nigel Allinson MBE, and Professor of Intelligent Robotics and Interactive Systems, Professor Marc Hanheide. Academics staff at all levels of seniority and research students can benefit from a supportive community and environment in which to share ideas and experiences with the aim of advancing knowledge.

Research undertaken in the School includes advancements in imaging technology for the detection and treatment of diseases such as cancer, the design of mobile and social computing platforms for health and wellbeing and enhancing our understanding of how long-term relationships can be developed between humans and robots, and, also in relation to the Lincoln Institute of Agri-food Technology, many aspects of technology focused on agriculture and food production.

Students can benefit from a comprehensive programme of training designed to develop key research skills and methodologies. Access is provided to industry-standard equipment and software to aid students' investigations, including VR-capable computers with headsets (e.g. HTC Vive and Oculus Rift), specialist development environments, and engineering design and simulation platforms. A supervisory team of experienced academics is available to provide guidance on students' studies and careers, and also for publishing work in journals and presenting at conferences.

Department specialisms

Recent students have tackled business process reengineering, hybrid information systems management, computer games engines, and using bio-inspired neural networks to prevent collisions with pedestrians. Current students are looking at topics including automated analysis of the game play in video games, development of a low-cost machine vision system for automatic identification of potato blemishes, electronic portfolio support in higher education, and text mining in health-related applications. Example Research Areas: Robotics and Autonomous Systems Device and System Design Computer Vision and Image/Video Analysis Medical Image Analysis Data Analytics Social Computing Games and Serious Games Applications

Fees and funding

For eligible students, there are more ways than ever before to fund your postgraduate study, whether you want to do a taught or research course. For those wishing to undertake a Master's course, you can apply for a loan as a contribution towards the course and living costs. Loans are also available to those who wish to undertake doctoral study. The University offers a number of scholarships and funded studentships for those interested in postgraduate study. Learn how Master's and PhD loans, scholarships, and studentships can help you fund your studies on our Postgraduate Fees and Funding pages.