Computer Science

The Computer Science PhD programme offered at the University of Surrey at the offers advanced training and research opportunities in various areas of computer science.

The PhD research programme at the  University of Surrey University of Surrey provides you with the opportunity to study a wide range of computer science topics. These include technologies and systems for securing online businesses and our lives, technologies inspired by nature for solving complicated real-world problems in areas such as transport and health, and real-world applications of advanced technologies in cyber security and machine learning.

Career opportunities

This PhD in Computer Science Computer Science will give you the knowledge, skills and abilities needed for a career in academia, research and development work in industry, and a wide variety of professional opportunities elsewhere. It normally takes around three to four years to complete a full-time PhD. You’ll be assigned at least two supervisors, a principal and a secondary, who’ll guide you through your studies. You’ll learn how to conduct literature reviews, how to develop your research ideas and verify them with experiments, and how to collaborate and perform interdisciplinary research. Exactly what your studies will look like will depend on your choice of topic: most of our PhD students conduct their research on computers in the School of Computer Science and Electronic Engineering, but some need access to special hardware in a lab setting. We’ll make sure you’ve got everything you need to conduct your research. We offer a diverse programme of academic and social activities, including monthly tea parties between PhD students and staff, and bespoke workshops and social events. Your final assessment will be based on the presentation of your research in a written thesis, which will be discussed in a viva examination with at least two examiners. You have the option of preparing your thesis as a monograph (one large volume in chapter form) or in publication format (including chapters written for publication), subject to the approval of your supervisors.

Research themes

• Complex network analysis, including controllability and criticality

• Concurrency control

• Development of control policies

• Distributed coordination

• Distributed trust

• Edge networks and cloud computing

• Fault-tolerance

• Formal verification

• Information processing in networks

• Resource management

• Social computing and computational social science

• Web tracking and privacy

• Social networks and online harm