PhD in Computer Science

For PhD in Computer Science, tuition costs 33,500 GBP per year.

Our Computer Science Integrated PhD combines taught Master's computer science modules with research. This Integrated PhD in Computer Science provides an opportunity to make a unique contribution to computer science research. You'll work within a research group, guided by experts and supported by a team of advisers. Our Computer Science Integrated PhD (IPhD) allows you to match your studies with your interests. You can choose from a wide range of modules and select your own focus for your final project. ### Research excellence We are leading on several initiatives of national and international significance: - EPSRC Northern Health Futures (NortHFutures) Hub (since 2023) - EPSRC National Edge AI Hub (since 2024) We are also collaborating with our regional partners on major consortium projects such as the EPSRC £2.5m investment in the North East Space Communications Accelerator (NESCA). This is a collaboration between: - Northumbria University - Durham University - Newcastle University - the North East Combined Authority - Space North East England - North East Space Leadership Group - and fourteen industry partners It is one of seven Place Based Impact Acceleration Account (PBIAA) scheme projects aimed at strengthening emerging and existing research to kickstart economic growth and address regional needs. ### Digital innovation We are a hub of digital innovation. You'll benefit from our: - leadership of the National Edge AI Hub, next-generation innovations via edge computing - recognition as an Academic Centre of Excellence in Cyber Security, supported by the National Cyber Security Centre and the EPSRC - direct link with the UK's National Innovation Centre for Data - partnership with The Alan Turing Institute, the UK’s national institute for data science and AI ### Our computer science research Based in the School of Computing, our research reflects our strengths, capabilities and critical mass. Research supervision is available under our nine research areas. Advanced Model-Based Engineering and Reasoning (AMBER) The AMBER group aims to equip systems and software engineering practitioners with effective methods and tools for developing the most demanding computer systems. We do this by means of models with well-founded semantics. Artificial intelligence The AI group pioneers the development of theories, algorithms, and foundational and domain-specific models that help machines perceive and sense the world, communicate naturally, reason about dynamic environments, make informed decisions, and improve productivity. Computational Medicine The Computational Medicine group develops and applies computational, AI, and data science methods to complex biomedical data, working closely with clinicians and healthcare partners to translate findings into real-world impact. Educational Practice in Computing The Educational Practice in Computing group focuses on pedagogic research and practice in Computer Science Education. You'll apply your research to the design and development of innovative teaching practices, tools, curricula and policies for Computer Science Education at primary, secondary and tertiary education levels, and in the area of community education. - Examples of our current PhD research projects include: - Exploring techniques, tools and curriculum design for teaching Computer Science in the era of Generative AI - particularly Programming/Software Engineering. - Opportunities, Challenges and Educational Impacts of Adopting Large Language Models as Educational Tools in Computer Science - Generative AI in STEM: Effects on Learning Behavior, Academic Performance, and Decision-Making - Gaining Informed Consent Online: A Data Supported Framework Intelligent Systems Intelligent Systems research group (ISRG) bridges the gap between theoretical AI foundations and real-time deployment in safety-critical systems. The group works at the intersection of core machine learning, distributed systems, security, and game