Financial Technology MSc
The MSc Financial Technology at UCL focuses on developing technology literate financial services professionals. The programme emphasises the systematic understanding of new digital business models in financial services, how innovation through technology is changing business practices, quantitative finance skills and the application of emerging technologies to financial services.
UK tuition fees (2022/23)
Overseas tuition fees (2022/23)
Programme startsSeptember 2022
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. Relevant work experience is also taken into account. Some programming experience means that you have experience of working on projects deploying code or have passed 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.
- English language requirements
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
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
Further information can be found on our English language requirements page.
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
As a student on the MSc Financial Technology, you will learn about new digital business models, how innovation through technology is changing financial services, technology skills in blockchain, and machine learning applications in finance. As you progress through the programme, you will develop quantitative finance skills and apply technology in the domain.
Students on this programme will take modules to the value of 180 credits, on successful completion of which they will be awarded MSc Financial Technology.
Who this course is forThis programme is designed to appeal to those with backgrounds from science, technology, engineering and mathematics (STEM) subjects who with to pursue a career in technology-led finance and banking or to pursue further study or a career in academia.
What this course will give you
- The UCL Centre for Blockchain Technologies (CBT) has created this programme. This multidisciplinary research centre focuses on how blockchain and other emerging technologies impact the world’s socio-economic systems and the financial services industry. This programme also leverages the numerous partnerships that the UCL CBT has with some of the largest financial services and technology companies in the world. These relationships exist, for instance, with Fidelity, Ripple, State Street, Natwest, Santander, R3, Oracle, DXC Technology, Santander, Ernst & Young, HSBC, Bank of England, BNP Paribas, PWC, AXA, Nomura, Credit Suisse and many other firms.
- 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.
- UCL Computer Science hosts the Centre for Doctoral Training in Financial Computing and Analytics as well as the Centre for Doctoral Training in AI and Finance.
- UCL Computer Science graduates are highly valued as a result of the department's strong international reputation, strong links with industry, and ideal location close to the City of London.
- The programme team takes 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.
The foundation of your career
As this is a new programme, there are no alumni. It is expected that students would be in great demand by financial services companies, fintech’s and institutions adopting new emerging technologies, especially given the considerable skills deficit within this area and rapid growth.
This programme is designed to help you gain a critical awareness of current issues and the development of financial systems and markets. You will also develop strong quantitative finance, financial technology and business and strategy skills related to the financial services industry. Individuals who wish to pursue technology-led finance and banking careers will be strongly equipped through this master’s programme. Universal banks, mutual, pension and hedge funds, investment banks, governments, central banks, advisory bodies and new challenger fintech start-ups and technology companies should be prospective employers for you.
At the end of this programme, you will be able to perform analytical tasks basic to the financial services industry (focussed on quantitative finance), including the analysis and interpretation of data and big data. You will be able to gain a broad understanding of how technology is applied in the financial services domain to business models, practices and quantitative finance. You will be able to use strategic thinking on how emerging technologies are changing the financial services landscape. Finally, you will be able to deploy machine learning tools and design blockchain technology solutions.
The research-based curriculum promotes strong research skills, which you will develop through your final research project/ dissertation; you will be well equipped to undertake doctoral research should you chose to do so.
Teaching and learning
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 on average to achieve its learning outcomes. One credit is typically described as being 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 (classroom based and/ or online) 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.
The MSc Financial Technology is a one-year programme.
In term 1, you will study topics in machine learning with applications in finance and blockchain technologies. You will choose from a range of optional specialist topics, including operational risk measurement, financial engineering, financial institutions and markets, and the fundamentals of database systems.
In term 2, you will study topics in digital finance and innovation and strategy. You will choose further optional topics, which may include data-driven modelling and market modelling and analysis, applied computational finance, algorithmic trading, advanced machine learning, entrepreneurship, and systemic risk. 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 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 is subject to change.
Students undertake modules to the value of 180 credits.
All students will undertake final research project/ dissertation, which is a substantive project that is typically focussed on an area of active academic research or an appropriate industrial topic. Industry-based projects may be undertaken with an external partner, organised via the UCL Computer Science Industry Exchange Network (IXN) scheme.
Fees and funding
Fees for this course
|Tuition fees (2022/23)||£38,000|
|Tuition fees (2022/23)||£38,000|
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.
Students will require a modern computer (PC or Mac). The minimum specifications should be 8GB RAM and 500GB SSD storage. A computer with the stated specifications will cost approximately £500.
Some students run Linux on their PCs while others run Windows with Linux Virtual Machines installed.
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 a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
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. Your personal statement should include: Why you want to study Financial Technology at taught postgraduate level. Why you want to study Financial Technology at UCL. What particularly attracts you to this programme. How your academic and professional background meets the demands of this programme. What programming experience you have. Where you would like to go professionally with your degree. 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 in any application cycle.
UCL is regulated by the Office for Students.
This page was last updated 28 Sep 2021