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Full time
1 year
SEP-25
MSc - Master of Science
Database Software (Use) Informatics Modelling / Simulation Systems Network / Systems Management Software
Research
The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, algorithms, theories and tools that probe the possibilities of computation and communication.
Our students benefit from being part of one of the largest and strongest groups of theoretical computer scientists in the world.
Our research is aimed at establishing deep understanding of computation in its many forms. Using advanced mathematical principles, we create theories and software tools allowing fundamental capabilities of computation to be explored, as well as designing languages that can be used to construct safe and effective programs.
Areas of interest within LFCS include: algorithms and complexity, cryptography, databases, logic, programming languages and semantics, performance modeling, quantum computing, security and privacy, software modeling and testing, and verification.
Career opportunities
Our graduates are in high demand for postdoctoral academic roles. In addition, the skills you will graduate with can be applied to roles in industry, particularly finance, software development and consultancy.
Training and support
As a research student at LFCS, you will have access to our highly respected academic staff community, which includes Fellows of the Royal Society and a winner of a Blaise Pascal medal. Our students regularly receive ‘best paper’ awards at conferences.
You will carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.
For this course (per year)
£10,400
For this course (per year)
£35,300
A UK 2:1 honours degree, or its international equivalent, with a strong background in mathematics.