Computer Science

Entry requirements

First or second class honours degree in a relevant STEM subject.

Months of entry

Anytime

Course content

This programme offers the opportunity to work alongside academic staff whose research has been internationally recognised. Researchers 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 computational neuroscience, biosignal analysis, machine learning, data analytics, robotics, medical imaging, AI in healthcare, games computing, VR/AR environments, human-computer interaction, 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 to support publishing work in journals and presenting at conferences.

Information for international students

If you are an overseas student, you may require an ATAS (Academic Technology Approval Scheme) certificate in order to enrol on this course.

https://www.gov.uk/guidance/academic-technology-approval-scheme

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. Loans are 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.