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Our PhD programme offers the opportunity to study in a wide range of interdisciplinary and cutting-edge research areas of computer science, with good support from academics and peers within a University committed to the personal, professional and academic development of its students.
There are currently around 60 PhD students in the department. The PhD community is very active and well organised when it comes to arranging research and social activities for students. An annual PhD conference, which has been successfully run for over 10 years, is organised by the students to showcase their research work.
The Department of Computing strives to be world-leading or internationally excellent in all its research, with many members of staff being publicly recognised as experts in their respective fields. Employment levels for our Computing students are exceptionally high, and the Department performs well in student surveys.
Computing at Surrey has a booming postgraduate research programme of over 60 PhD students, with many industrial sponsorships. We have the best computing resources to support your research, including an Access Grid-equipped seminar room and a Grid infrastructure supporting leading-edge distributed technologies, as well as a number of high-performance servers.
* Full-time: 33-48 months
* Part-time: 45-96 months
Theories and techniques for high quality complex reactive systems and new generations of pervasive computer systems.
Formal Methods and Security
New technologies for security and safety-critical domains, ranging from trustworthy voting systems, to formal methods integration for software systems development, and formal models for UML.
Multimedia Security and Forensics
Interplay among three areas: multimedia computing, computer security and digital forensics, including digital watermarking and authentication, steganography and steganalysis, multimedia forensics, multimedia coding and visual quality assessment, usable security, biometrics, cyber security and digital forensics, digital media analysis.
Nature-inspired Computing and Engineering
Building up computational models for understanding biological and social intelligence and developing algorithms inspired by natural intelligence for solving complex real-world problems found in optimization, signal processing and pattern recognition, decision-making, and self-organization of collective system.
A first or upper second-class (2.1) degree in engineering or physical sciences, or equivalent overseas qualification, or a lower second (2.2) plus a good Masters degree (distinction normally required).
Students are initially registered for a PhD with probationary status and, subject to satisfactory progress, subsequently confirmed as having PhD status.
English language requirements
Non-native speakers of English will normally be required to have IELTS 6.5 or above (or equivalent)
We offer intensive English language pre-sessional courses, designed to take you to the level of English ability and skill required for your studies here.
English Language RequirementsIELTS band: 6.5
IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa.
The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.
There are a number of fully funded PhD studentships for suitably qualified UK and EU nationals who can demonstrate the appropriate residency requirements. Other funding opportunities are also available within different research centres.
We have received major awards for research from the following:
* IET and e-voting for digital watermarking
* Student awards from Detica, Fyvium, IBM, Microsoft, Renew, Honda, Thales Research & Technology and Thoughtified