Emerging Digital Technologies MSc

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.

By taking this programme, you will be armed with a comprehensive knowledge of a wide range of emerging technologies and how to apply them. You will gain an understanding of their limitations and current boundaries as well as their opportunities and risks. This is supplemented with business strategies and management knowledge on how you can effectively deploy these technologies to innovate within the business environments.

As you progress through this programme, you will be able to hone your skills in areas such as machine learning, computer security, fintech and areas including entrepreneurship and digital policy. These skills are highly relevant for working in technology management or development for technology companies or within technology departments at a forward-thinking organisation (agnostic of the sector). In particular, the strong industry partnerships that the Computer Science department and the UCL Centre for Blockchain Technologies have will be leveraged to help with your career development. If you wish to become more specialised, you could do so by pursuing a PhD with the department.

By taking this programme, you will gain demonstratable skills in forecasting current and future trends in technologies, business strategy and management of emerging technologies, data science and machine learning, and blockchain technologies. Depending on the optional modules chosen, you may also gain skills in digital innovation and policy, fintech, cybersecurity and network analysis.

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.