About the Department of Computer Science and Technology
The Department of Computer Science and Technology (known as the Computer Laboratory) is an academic department within the University of Cambridge that encompasses Computer Science, along with many aspects of Technology, Engineering and Mathematics.
The Department undertakes research in a broad range of subjects. It has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Current research areas include bioinformatics, computer architecture, computer vision, distributed systems, graphics and human-computer interaction, logic and semantics, machine learning, natural language processing, networking and wireless communication, operating systems and virtualization, programming, security, and sustainable computing.
2 courses offered in the Department of Computer Science and Technology
Advanced Computer Science - MPhil - Closed
The aim of the course is to provide preparation appropriate for undertaking a PhD programme in computer science. Students take a mandatory course in research skills and select five taught modules from a wide range of advanced topics in computer science. Students also undertake a research project over two terms and submit a project report in early June. Research topic selection and planning occurs in the first term and the work is undertaken in subsequent terms. The taught modules are delivered in a range of styles. For example, there are traditional lecture courses, lecture courses with associated practical classes, reading clubs, and seminar-style modules.
Computer Science - PhD
The Department of Computer Science and Technology undertakes research in a broad range of subjects within the disciplines of computer science, engineering, technology, and mathematics. Current research themes include Algorithms and Complexity, Computer Architecture, Graphics, Vision and Imaging Science, Human-Centred Computing, Machine Learning and Artificial Intelligence, Mobile Systems, Robotics and Automation, Natural Language Processing, Programming Languages, Semantics and Verification, Security, and Systems and Networking.
1 course also advertised in the Department of Computer Science and Technology
Antarctic Studies - PhD
From the British Antarctic Survey
This PhD course takes place under the joint supervision of a research scientist at the British Antarctic Survey (BAS) and a University supervisor. Students may be based at BAS but will be registered for their degree with one of the partnering departments: Archaeology & Anthropology, Land Economy, Plant Sciences, Zoology, Earth Sciences, Geography and Scott Polar Research Institute, Applied Mathematics & Theoretical Physics, Chemistry, Engineering, Computer Science and Technology.