The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.
You will be able to shape your programme to match your interests and career ambitions, choosing modules from a range of areas, including the development of human– computer communications (dialogue systems), ubiquitous computing, applying interactive digital multimedia techniques, security and surveillance, and building decision-support tools for uncertain problems in various contexts (eg legal, medical, safety). This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.
This programme will:
- Allow you to personalise your programme through a wide range of employment-relevant module choices.
- Build your links with industry and potential employers, we have excellent links with industry, working together on commercial and research projects.
Why study your MSc in Computer Science at Queen Mary?
Our research-led approach
Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.
Our strong links with industry
- We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
- Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
- Industrial projects scheme - To support industrial experience development, you can carry out your final project in collaboration with an industrial partner
Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
MSc Computer Science is currently available for one year full-time study, two years part-time study.
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. Please contact the course convenor for precise information on the number of contact hours per week for this programme.
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.
- Functional Programming
- Semi-Structured Data and Advanced Data Modelling
Select at least 2 from:
- Machine Learning
- Design for Human Interaction
- Natural Language Processing
- Introduction to Object-Oriented Programming
- Security and Authentication
- Bayesian Decision and Risk Analysis
Select at least 2 from:
- Mobile Services
- Business Technology Strategy
- Interactive Systems Design
- The Semantic Web
- Information Retrieval
- Advanced Object Oriented Programming
- Data Analytics
- Distributed Systems
Please note that elective modules are subject to availability, timetabling constraints and may be subject to change.
An upper second class degree is normally required, usually in electronic engineering, computer science, maths or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.
For international students we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).
Students from outside of the UK help form a global community here at Queen Mary. For detailed country specific entry requirements please visit the International section of our website. If your first language is not English, you must provide evidence of your English language proficiency. Find out more about our English language entry requirements.
If you do not meet language or scholarly requirements it might be possible for you to undertake foundation or pre-sessional programmes that will prepare you for the masters programme. For more information, please contact the Admissions Office.
If you are unable to find the information you require, please contact the Admissions Office for assistance.
Learning and teaching
Learning and teaching
As a student at Queen Mary, you will play an active part in your acquisition of skills and knowledge. Teaching is by a mixture of formal lectures and small group seminars. The seminars are designed to generate informed discussion around set topics, and may involve student presentations, group exercise and role-play as well as open discussion. We take pride in the close and friendly working relationship we have with our students. You are assigned an Academic Adviser who will guide you in both academic and pastoral matters throughout your time at Queen Mary.
Teaching for all modules includes a combination of lectures, seminars and a virtual learning environment. Each module provides 36 hours of contact time, supported by lab work and directed further study.
For every hour spent in classes you will be expected to complete further hours of independent study. Your individual study time could be spent preparing for, or following up on formal study sessions; reading; producing written work; completing projects; and revising for examinations.
The direction of your individual study will be guided by the formal study sessions you attend, along with your reading lists and assignments. However, we expect you to demonstrate an active role in your own learning by reading widely and expanding your own knowledge, understanding and critical ability.
Independent study will foster in you the ability to identify your own learning needs and determine which areas you need to focus on to become proficient in your subject area. This is an important transferable skill and will help to prepare you for the transition to working life.
The Research Methods modules are assessed through coursework alone. All other modules are examined through a combination of coursework and written examinations taken in May/June. To obtain an MSc, students must gain passes in six of the eight modules taken with an overall average of 50 per cent.
In addition to the above, the MSc requires that a satisfactory individual project be completed. MSc students who do not pass the written examinations are only allowed to attempt the project after passing resit examinations the following May.
You will also be assessed on a supervised 10,000-15,000-word dissertation.
Our outstanding resources
- We offer our students use of their own high- specification computing and research labs, hostings over 350 state-of-the-art computers for exclusive use by our students.
- Our spectrum of research areas is supported by a range of specialist research labs offering cutting edge tools and technology including our augmented human interaction (AHI) laboratory combining pioneering technologies of full-body and multi-person motion capture, virtual and augmented reality systems and advanced aural and visual display technologies. We also have specialist laboratories in multimedia; telecommunication networks; and antenna measurement.
Have a look around by visiting our facilities pages for further information.
Tuition fees for Home and EU students
2019/20 Academic Year
Full time £9,900
Part time £5,175
Tuition fees for International students
2019/20 Academic Year
Full time £21,250
Part time £10,625
There are a number of sources of funding available for Masters students.
These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.
Queen Mary bursaries and scholarships
We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.
Find out more about QMUL bursaries and scholarships.
Alternative sources of funding
Home/EU students can apply for a range of other funding, such as Professional and Career Development Loans, and Employer Sponsorship, depending on their circumstances and the specific programme of study.
Overseas students may be eligible to apply for a range of external scholarships and we also provide information about relevant funding providers in your home country on our country web pages.
Download our Postgraduate Funding Guide for detailed information about postgraduate funding options for Home/EU students.
Tel: +44 (0)20 7882 5079
Other financial help on offer at Queen Mary
We offer one to one specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.
Our Advice and Counselling Service also has lots of Student Advice Guides on all aspects of finance including:
Tel: +44 (0)20 7882 8717
- £37,166 – is average salary of our postgraduates on completing their course
- 400+ employees and training organisations visited the campus last year
- 325+ students placed into 45 local charities under our award-winning QProjects scheme (Guardian employability initiative of the year 2014)
Queen Mary's Computer Science postgraduates go on to work in a wide variety of careers, mostly within IT and information services. The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into careers such as:
- Technical Analyst, Credit Suisse
- Interactive Systems Developer, Sky
- Software Developer, Accenture
- Analyst Technical Associate, Bank of America Merrill Lynch
- IT Contractor, FDM
- Computer Analyst, ITRS Group
- IT Developer, Qube Global Software
- Team Manager, Bromley-by-Bow Centre
- Computer Programmer, Rightmove
- Computer Consultant, Mac Experts Ltd
- Graduate Engineer, Ministry of Defence
Throughout the course, postgraduates have access to a careers programme to prepare them for applying for work after graduation. This programme includes workshops on job hunting and job applications as well as employer events to facilitate networks and help students to explore their options.
Recent careers events open to Computer Science postgraduates include the IT and Technology Fair, featuring Accenture, Babcock, BskyB, FactSet, Framestore, IBM, one-to-one sessions with Morgan Stanley, IBM and Accenture, IT company presentations, and Start Up Stand Up for those interested in working with technology start ups and SMEs.
Read more about our careers programmes and range of work experience opportunities on the Queen Mary Careers pages.