A minimum of an upper second-class UK Bachelor's degree in computer science, computing, computer engineering or software engineering, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account.
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good.
Further information can be found on our English language requirements page.
Months of entry
Our Software Systems Engineering (SSE) MSc provides an ideal foundation for PhD study. The programme is underpinned by a Software Engineering Research group that is regularly ranked among the top ten of its kind in the world (CSRankings.org); its work is used by leading global companies including Google, Facebook and Amazon. You will be taught by those who are setting the international agenda, and our research has been repeatedly rated as world-class.
UCL Computer Science is recognised as a world-leader in teaching and research.
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries from entertainment to finance.
We take an experimental approach to our subject and place a high value on our extensive range of industrial collaborations. In the recent past, students have worked on projects and coursework in collaboration with Microsoft, IBM, JP Morgan, Citigroup and BNP Paribas.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
The programme is delivered through a combination of lectures, written and laboratory exercises, and group project supervision. Student performance is assessed through written exercises with modelling notations, laboratory exercises with tools and environments, unseen examination papers, and a significant, comprehensive group project.
Course contact details
- +44 (0)20 3108 6568