A minimum of an upper second-class UK Bachelor's degree in a subject other than computer science or information technology, or an overseas qualification of an equivalent standard is required. Evidence should be included within the application to demonstrate suitable mathematical skills (to at least Mathematics A level), and analytical skills.
Note: Although, the current programme is meant for all those who are new to Computer Science, the applicant must ensure they have good computational thinking skills as programming is a core part of the course.
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
The Computer Science MSc provides a balance between computer science theory and practical software engineering skills, including teamwork for industrial or research clients. Graduates complement their first degree subject with computer science knowledge, leading to interdisciplinary industrial positions and PhD research. Students are expected to complement their learning with extra research and personal work.
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, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification and course duration
The programme is delivered through a combination of traditional face-to-face lectures, flipped learning, blended learning, problem-based and student-led learning. Lectures are often supported by laboratory work with help from demonstrators.
Student performance is assessed by unseen written examinations, coursework and a substantial individual project.
Course contact details
- +44 (0)20 3370 1214