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 (2023/24)
Overseas tuition fees (2023/24)
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. 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.
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. 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 Financial Technology MSc, 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.
Who this course is for
What this course will give you
UCL is ranked 8th globally and 5th in Europe in the 2023 QS World University Rankings, giving you an exciting opportunity to study at one of world's best universities.
UCL Computer Science is recognised as a world leader in teaching and research. The department was ranked first in England and second 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 with an outstanding reputation in the field.
Our graduates are highly valued due to the department's strong international reputation, strong links with industry and an ideal location close to the City of London.
This programme—created by UCL Centre for Blockchain Technologies (CBT) and part of the Financial Computing and Analytics (FCA) research group—leverages a strong research and industry network. UCL CBT is a multidisciplinary research centre focusing on how blockchain and other emerging technologies impact the world’s socioeconomic systems and the financial services industry. The FCA group’s research focuses on algorithmic trading, financial markets modelling and analysis, systemic risk and applying complexity science to social dynamics.
UCL CBT and the FCA research group have built partnerships over the years with some of the world's largest financial services and technology companies. 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. These industry relationships have been leveraged to inform the learnings of this programme.
The programme team takes an experimental approach to our subject, enjoys the challenge and opportunity of entrepreneurial partnerships, and places a high value on our extensive range of industrial collaborations.
The foundation of your career
As this is a new programme, alumni information is not available yet. It is expected that students will 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 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 Financial Technology MSc is a one-year programme.
In term 1, you will study topics in machine learning with applications in finance, blockchain technologies, and you will acquire finance and programming skills. You will choose from a range of optional specialist topics, including operational risk measurement, financial engineering, software engineering and product management, and the fundamentals of database systems.
In term 2, you will study topics in innovation, strategy and technology in financial services. 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, policy and regulation and systemic risk. You will also begin the 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 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 Financial Technology.
Fees and funding
Fees for this course
|Tuition fees (2023/24)||£41,500|
|Tuition fees (2023/24)||£41,500|
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) 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 a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Deadline: 8 June 2023Value: £15,000 (1 year)Criteria Based on both academic merit and financial needEligibility: UK
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.
When we assess your application we wish to learn:
- 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.
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.
Having an interest in financial technology, new innovative financial products and intellectual curiosity are desirable qualities.
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.
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