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An upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering, or a similarly quantitative subject. Programming experience in a language such as Python, C++ or Matlab is an advantage but is not mandatory. Some programming experience means that you have experience of working on projects deploying code or have taken modules/assessments in your previous education with coding components. If you do not have this knowledge, there will be tutorials offered at the beginning of the programme, but you will be expected to get up to speed rapidly. A self-assessment test will be available to determine if you will need additional support for coding. A good knowledge of linear algebra, statistics and probability theory will be assumed. Relevant work experience will also be taken into account. Examples of relevant work experience include roles that require working with, applying and understanding digital technologies in roles such as product management, development, management and operations.
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.Pre-Master's and Pre-sessional English
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Months of entry
The MSc programme merges technology and the management of technology. If you wish to pursue emerging technology-centric careers in complex business environments, then this programme can help you achieve that goal. You will take part in a variety of core modules that develop your hands-on skills with technology in areas such as data science, blockchain technologies and information management systems.
The UCL Centre for Blockchain Technologies has created this programme. This multidisciplinary research centre focuses on how blockchain and other emerging technologies are impacting the world’s socio-economic systems.
The UCL Centre for Blockchain Technologies leverages numerous partnerships with some of the largest technology companies in the world. These relationships exist, for instance, with Fidelity, Ripple, State Street, Natwest, Santander, R3, UN, Oracle, DXC Technology and many other firms. It will also utilise its expertise in blockchain technology to create further blockchain modules in the future and make these available to the entire Computer Science department and others.
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).
Over the years, the three most relevant university rankings (QS, THE, ARWU) have consistently classified UCL among the top 5 universities in Europe and the top 20 universities in the world.
London is a global financial centre and technology hub. Students of the MSc Emerging Digital Technologie programme will benefit from proximity to top technology companies, entrepreneurial projects and practitioners in central London.
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, tutorials, seminars, presentations, written and programming exercises, and project work.
Course contact details
- +44 (0)20 3108 8418