Computer Science (MSc) (2022 Entry)
This course is designed for technically-minded graduates with a background in computer science, mathematics or the physical sciences.
It provides a comprehensive preparation for the use of cutting-edge techniques in industry, though its research focus also makes it an excellent starting point for research career, through PhD study or in a commercial setting.
First Class Honours degree or a high 2:i undergraduate degree. The degree must be in Computer Science, Mathematics, Statistics, Physics, or another relevant quantitatively-focused degree.
English Language requirements header
- Band A
- IELTS overall score of 6.5, minimum component scores not below 6.0.
International requirements header
Additional requirements header
There are no additional entry requirements for this course.
Dissertation Project
The dissertation is intended to give you the opportunity to consolidate the knowledge that you have acquired during the first half of the MSc, and to undertake a research led project. You will be expected to carry out a significant development exercise, either in the form of a research project or a knowledge transfer project that is applying recent research and the advanced topics taught in the first half of the course.
Research Methods
The module aims to facilitate the acquisition of a range of research methods, ensure that you are aware of the legal framework within which research is conducted, and that you are sensitive to the social and ethical issues which affect Computer Science research.
Foundations of Computing
The aim of the module is to equip you with a grounding in foundations of computing and to enable you to confidently undertake a taught masters programme in advanced computing topics.
Optional module header
- High Performance Computing
- Algorithmic Game Theory
- Formal Systems Development
- Image and Video Analysis
- Agent Based Systems
- Quantum Computing
- Computational Biology
- Data Mining
- Foundations of Data Analytics
- Sensor Networks and Mobile Data Communications
- Advanced Computer Security
- Social Informatics
- Natural Language Processing
The course has two components - a taught component and a dissertation. The taught component will allow you to acquire expertise and industrially relevant technical skills in cutting edge areas of computer science, including agent based systems, high performance systems, game theory and bioinformatics, as well as experience of project management, academic writing and scientific method.
The taught component is complemented by a dissertation project, undertaken primarily in the second half of your course, which offers the opportunity to specialise and explore areas of interest in greater depth. Your dissertation may be entirely research focussed or directed towards the application of advanced topics.
Assessment header
You will be assessed through a variety of methods; exams, coursework, presentations and a dissertation. Exams take place in the summer term; usually in May and/or June with dissertations expected to be completed in September.
Reading lists
Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.
Your timetable
Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.