MSc in Computer Science by Research MSc in Computer Science by Research Queen Mary, University of London ../webroot/files/Institutions/cover_photo/1563862679Queen-Mary1.jpg
Queen Mary, University of London
Course Description
Our MSc in Computer Science by Research involves an extended (one-year) individual research project carried out as part of one of our established research groups, combined with selected taught modules.
This programme is suitable for outstanding students who have an interest in advanced research-based study in one of our research specialisms: Computer Vision; Cognitive Science; Risk and Information Management (RIM); Computer Science Theory; Game AI; and Computational Creativitiy. The expectation is that every graduate from the degree will publish at least one conference paper as part of their research. It will give you solid theoretical and practical research competence in your chosen field of study and will enhance your employability. Successful completion of the programme may also provide a route to further study at doctoral level or for a research position in industry.
This programme will:
- Give you a basis for further study.
- Allow you to specialise in an area of your choosing.
- Give you a free choice from all the modules available, which are suitable to your project.
Course Content
You will join one of our research groups, taking four selected taught modules and completing an extended research project. You will have the opportunity to develop further research and technical skills and to be able to demonstrate a level of independence that is greater than developed on a purely taught programme.
Full-time
Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly.
Part-time
Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.
Important note regarding Part Time Study
We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week and we do not currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the Postgraduate Course Administrator.
Course Intakes
| Location | Start Date | Fees | Duration | ||
|---|---|---|---|---|---|
|
Classroom Mile End Road Queen Mary University of London, Mile End Road, London E1 4NS, UK |
September, 2025
|
UK/EU: |
1 year, Full Time |
Send Enquiry |
Entry Requirements
This programme requires ATAS clearance. Students who are not EEA or Swiss nationals may require ATAS clearance to undertake this course. The CAH3 code for this course is CAH11-01-01. Further information on ATAS can be found on our Advice and Counselling webpages.
You should possess a good honours degree (minimum upper second class) in a relevant subject. In your application you should identify the relevant research group. Offers are subject to the agreement of a suitable research proposal.
For international students we require English language qualifications IELTS 6.5, TOEFL score of 92 (internet based).
Assessment Methods
Modules are assessed through a combination of coursework and written examinations. You will also be assessed through an individual project.
Additional Information
MSc Computer Science by Research is currently available for one year full-time study, or two years part-time.
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MSc in Computer Science by Research
Queen Mary, University of London
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MSc in Computer Science by Research
Queen Mary, University of London