Theoretical Computer Science MSc
- Programme duration: Full-time: 12 months Part-time: 24 months
- Programme start: September 2023
- Entry requirements: You will need a 2:1 honours degree (or above) in a subject closely related to Computer Science, Mathematics, or the intersection of these two subjects.
This programme was previously named MSc in Advanced Computer Science with Internet Economics.
The MSc Theoretical Computer Science aims to provide you with an in depth understanding of the area of Theoretical Computer Science. A particular focus of the programme is on Computational Game Theory, an area of on the intersection of computer science and economics which has seen a recent rapid growth and in which there is expected to be a significant skills shortage.
The programme also provides a solid foundation for you if you are aiming at a research degree in Theoretical Computer Science. It will provide a strong background and exposition to research topics in the area.
This programme is also available as Theoretical Computer Science with a Year in Industry MSc.
The programme is organised as two taught semesters followed by an individual project undertaken over the summer. During each semester MSc students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a dissertation, also 60 credits, making an overall total of 180 credits.
Please note that this course is pending accreditation by BCS, The Chartered Institute for IT.
Why Computer Science?
We offer master's programmes for students with Computer Science and non Computer Science undergraduate degrees
Which degree is right for me?
I have a Computer Science related degree*. What programmes within Computer Science am I eligible to apply for?
MSc Advanced Computer Science
MSc Advanced Computer Science with a Year in Industry
MSc Big Data and High Performance Computing
MSc Big Data and High Performance Computing with a Year in Industry
MSc Theoretical Computer Science
MSc Theoretical Computer Science with a Year in Industry
*Computer Science Related Degrees may include degree titles such as:
Computer Applications and Engineering
Electrical Engineering and Computer Science
Please note this list is not exhaustive, and any Computer Science related degree should contain a significant amount of computer science related modules to be relevant (as assessed by Dept of Computer Science).
I do not have a Computer Science related degree and I'm interested in learning more about this field. What programmes within Computer Science am I eligible to apply for?
MSc Data Science with AI
MSc Data Science with AI with a Year in Industry
MSc Computer Science (Science or Engineering background in Mathematics or Physical Sciences required)
Learn from leading experts in a culture of research excellence
The Department is a Centre of Excellence with respect to teaching and research. The latest Research Excellence Framework rated 97% of our research outputs as being world-leading or internationally excellent, the highest proportion of any Computer Science department in the UK. With our close industry partners, and our Russell Group status, we enjoy strong funding from a mixture of European, national and industrial sponsors, providing a balanced portfolio of activity that feeds back into teaching.
Benefit from studying in a well-established department
Computer Science at the University of Liverpool has a history going back to the 1960s. As the subject grew in importance, the Department of Computer Science was established in 1983 to provide learning and research support in this new and exciting field that spans and interplays with more traditional subjects such as Mathematics, Physics, Life Sciences and Engineering. After five decades, the Department is still rapidly growing and evolving and remains at the forefront of Computer Science globally. The Department was one of the first in the University to be involved in the establishment of Xian Jiaotong Liverpool University, and has forged a strong international partnership for teaching and research between the two institutes.
Access state of the art facilities
The department is based on the main University of Liverpool campus, close to the city centre, in the grade II listed Ashton and Holt building (see Campus Map). It offers a comfortable working environment with excellent research, study and computing facilities. It is placed directly opposite the Harold Cohen Library with its vast collection of textbooks and research literature. The Library also provides plenty of additional study places. You’ll enjoy the full support of our friendly tutors and technical teams so that you can get the best from your time here.