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Course content

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.

Structure

MSc Computer Science is currently available for one year full-time study, two years part-time study.

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. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

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 .

Semester 1

  •  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

Semester 2

  •  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

Semester 3

  •  Project

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change.

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.

Assessment

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.

Dissertation

You will also be assessed on a supervised 10,000-15,000-word dissertation.

Fees

Tuition fees for Home and EU students

2019/20 Academic Year

Full time £10,350

Part time £5,175

Tuition fees for International students

2019/20 Academic Year

Full time £21,250

Part time £10,625

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.

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:


Visit the Msc Computer Science page on the Queen Mary University of London website for more details!

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