Emerging Digital Technologies MSc

London, Bloomsbury

Blockchain technology and disruptive applications are at the cutting edge of innovation in the modern age, and this degree can help you launch your career in this field. The Emerging Digital Technologies MSc brings together computing, new applications and business strategy, enabling you to apply your knowledge and disrupt the status quo in your future career. Taught at UCL and designed by the UCL Centre for Blockchain Technologies, this is an exceptional place to become a practitioner in emerging digital technologies.

UK students International students
Study mode
Full-time
UK tuition fees (2024/25)
£34,400
Overseas tuition fees (2024/25)
£34,400
Duration
1 calendar year
Programme starts
September 2024
Applications accepted
Applicants who require a visa: 16 Oct 2023 – 05 Apr 2024
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 16 Oct 2023 – 30 Aug 2024
Applications close at 5pm UK time

Applications open

Entry requirements

A minimum of an upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering, or a similarly quantitative subject.

The English language level for this programme is: Level 3

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.

Further information can be found on our English language requirements page.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

Blending technology, innovation, finance and business, the Emerging Digital Technologies MSc is creating the next generation of experts in a growing field. Incorporating topics such as blockchain, cloud computing, artificial intelligence (AI) and machine learning – along with business strategy and entrepreneurialism – if you want a technology-centric role in complex business environments, this is the programme for you.

This programme was designed by the UCL Centre for Blockchain Technologies, the largest centre of its kind in Europe, which has extensive connections with some of the world’s leading technology companies.

You will learn core knowledge in data science, blockchain technologies, and how digital technologies combine with business strategy, plus choose from optional modules, which range from entrepreneurship to applied deep learning. You will also undertake a substantial project, either working with a company on a real-world problem or an academic project if you have a specific area of interest. 

This MSc brings together key knowledge in some of the most exciting areas of technology and finance today, enabling you to apply key skills in evolving financial applications and technological innovations. 

Who this course is for

The Emerging Digital Technologies MSc is for you if you have a computational background, a background in finance and economics, or both. You will have a keen interest in blockchain and other growing technologies, along with a drive to apply it to business settings, either for a company or as a start-up entrepreneur.

What this course will give you

UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world’s best universities.    

UCL Computer Science is recognised as a world leader in teaching and research. The department was ranked 1st in England and 2nd in the UK for research power in Computer Science and Informatics in the UK’s most recent Research Excellence Framework (REF2021). You will learn from leading experts at the forefront of computer science innovation.

UCL is also ranked 1st in the UK and 7th in the world for Blockchain education and research in the latest CoinDesk University Rankings.

This programme was created by the UCL Centre for Blockchain Technologies (CBT), a multidisciplinary research centre which focuses on how blockchain and other emerging technologies are impacting the world’s socio-economic systems.

The UCL CBT 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.

You will have opportunities to work on real-world projects with leading companies through the Department’s Industry Exchange Network (IXN).

London is a global financial centre and technology hub. You will benefit from proximity to top technology companies, entrepreneurial projects and practitioners in central London.

The foundation of your career

Graduates of this programme will develop skills in great demand in the financial industry, particularly in data analytics, computer security, fintech, and digital policy, or to pursue further study or a career in academia. They will also be well-equipped to apply their skills to the start-up world.

Recent alumni are now working as data scientists, bankers, technology consultants, and developers, as well as a range of other roles.

Employability

The programme is designed to equip you with 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.

Networking

UCL is proud to support innovation and link our students and research directly to real-world business applications.

From internships to solving complex problems with commercial partners, UCL Engineering has a collaborative, innovative spirit at its core. As a student and later as a graduate, you will have access to a UCL Engineering careers events programme, connecting you with employers and alumni. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.

Entrepreneurial minds thrive at UCL. For example, UCL’s IDEALondon was the first innovation centre led by a university in London, and incubates companies post-seed to reach technical and business milestones. Our academic and industrial networks provide a safe and supportive environment to grow a company.

Teaching and learning

The programme’s core curriculum is typically delivered through a combination of lectures, tutorials, and lab classes, as well as directed and self-directed learning supported by teaching materials and resources, published through each module’s online virtual learning environment. Each module employs a teaching strategy that aligns with and supports its intended learning outcomes.

You will be assessed through a range of methods across the programme, which will vary depending on any optional or elective module choices. The programme’s core curriculum is typically assessed by methods including coursework, lab work, individual and group projects, class tests, written examinations, oral assessments, and, in all cases, culminating in a final research project/ dissertation.

Contact time takes a variety of forms, including lectures, seminars, tutorials, project supervisions, demonstrations, practical classes and workshops, visits, placements, office hours (where staff are available for consultation), email, videoconference, or other media, and situations where feedback on assessed work is given (one-to-one or in a group).

Each module has a credit value that indicates the total notional learning hours a learner will spend to achieve its learning outcomes. One credit is considered equal to 10 hours of notional learning, which includes all contact time, self-directed study, and assessment.

The contact time for each of your 15-credit taught modules will typically include 22-30 hours of teaching activity over the term of its delivery, with the balance then comprised of self-directed learning and working on your assessments. You will have ongoing contact with teaching staff via each module’s online discussion forum, which is typically used for discussing and clarifying concepts or assessment matters and will have the opportunity to access additional support via regular office hours with module leaders and programme directors.

Your research project/ dissertation module is 60 credits and will include regular contact with your project supervisor(s), who will guide and support you throughout your project. You will dedicate most of your time on this module to carrying out research in connection with your project and writing up your final report.

Modules

The Emerging Digital Technologies MSc is a one-year programme.

In term 1, you will study topics in digital technologies and business strategy, blockchain technologies, and the fundamentals of database systems. You will choose from specialist optional topics, including machine learning and computer security.

In term 2, you will study data science. You will choose further optional topics, which may include entrepreneurship, networks and systemic risk, further machine learning, people and computer security, digital finance, innovation and strategy, and matters relating to digital technology policy. You will also begin preparation for your final research project/dissertation.

In term 3, you will primarily focus on your final research project/dissertation and any examinations that take place in the main examination period.

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Emerging Digital Technologies.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support and Wellbeing team.

Online - Open day

Graduate Open Events: Department of Computer Science

Join us for a live online information session to hear from Computer Science staff. We will cover areas such as the general admission process, careers support, and industry links/placements. There will also be an opportunity for you to ask staff and current students any questions you may have. Two sessions will run for this event. These sessions are the same and are repeated to cater to people in different time zones.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2024/25) £34,400
Tuition fees (2024/25) £34,400

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.

Additional costs

All full time students are required to pay a fee deposit of £2,000 for this programme. All part-time students are required to pay a fee deposit of £1,000.

Students will require a modern computer (PC or Mac) with minimum specifications 8GB RAM and 500GB SSD storage. A computer with the stated specifications is estimated to cost £500 or greater.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.

Funding your studies

For more information about funding opportunities for UCL Computer Science taught postgraduate programmes, please see the department's scholarships webpage.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

UCL East London Scholarship

Deadline: 20 June 2024
Value: Tuition fees plus £15,700 stipend ()
Criteria Based on financial need
Eligibility: UK

UCL Friends & Alumni Association scholarship for Machine Learning

Deadline: 3 June 2024
Value: $20,000 (1 year)
Criteria Based on both academic merit and financial need
Eligibility: EU, Overseas

Next steps

There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at Application fees.

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver. Your application will be judged entirely on the evidence you provide.

When we assess your application, we wish to learn:

  • why you want to study Emerging Digital Technologies at postgraduate taught level
  • why you want to study Emerging Digital Technologies at UCL
  • what particularly attracts you to this programme
  • how your academic and professional background meets the demands of this challenging programme
  • what programming experience you have
  • here you would like to go professionally with your degree

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.

Due to competition for places on this programme, no late applications will be considered. Students with visa requirements or applying for scholarships are advised to apply early.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions? Get in touch

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