Financial Technology and Innovation (Taught)

Course summary

Are you keen to learn about the challenges associated with the future of finance and banking, and interested in seeking technology-intensive solutions to the problems that characterise the traditional financial infrastructure? At present, many Fintech initiatives compete and co-exist with financial institutions. Digitised routines drive the diffusion of advanced analytics in banking and finance. Blockchain technology offers the opportunity to rethink the way we design, use, and embrace financial services. We offer an inter-disciplinary learning environment with core modules in finance, technology, law, coding and data science to deliver state-of the art knowledge and skills. Why choose this course?

Work directly with industry partners on projects as part of your rounded learning experience

Connect directly with the financial industry and fintech scene in and surrounding the City of London

Join us at Bayes, situated right by the square mile and London's financial district

Design and develop solutions while collaborating with peers from different areas of knowledge and expertise across programmes

Prepare for a wide range of careers for Finance – equipped with cutting-edge knowledge on digital finance, regulation and more.

Prior to beginning of this degree, you will be offered access to pre-study modules that focus building on mathematical and statistical skills, and which introduce you to coding in Python. You'll develop a clear understanding of how modern financial markets function and how to apply quantitative and algorithmic tools to attack systemic problems (for example by using machine learning to aid portfolio construction or by building blockchain-based savings protocols). You also receive skills required by an entrepreneur looking to innovate in finance or banking, including knowledge of the relevant regulatory environment. The programme is practical and hands-on, but you'll also obtain a thorough, research-led, high-level, topical postgraduate training. The fundamental aim of the MSc course is to deliver graduates with both a solid theoretical underpinning and the ability to apply knowledge to practical problems immediately.

Modules

Eight compulsory, core modules are given in terms 1 and 2. Term 3 is dedicated to a compulsory and supervised industry-led project, as well as to three elective modules of your choice. Term 1 Financial markets and financial intermediation Foundations of Fintech Foundations of Data Science Term 2 Regulatory Compliance, Ethics, Social Values Digital money and banking Data Analytics for Fintech Decentralised finance and blockchain applications Term 3 In your third term you'll work on a compulsory and supervised industry-led project alongside a choice of three elective modules. Industry project The industry project aims to train you to undertake individual research within the context of an industry-related problem or issue and to provide you with an opportunity to specialise in a contemporary business or finance topic related to your future career aspirations. Elective modules Sustainable Finance with ESG Data Management Systems Financial Crime Ethics Society and the Financial Sector Field trip and study – international exposure Mergers and Acquisitions Trading and Hedging in the FOREX Market Investment Strategy Hedge Funds Foreign Exchange. Throughout the programme you also acquire direct knowledge of current issues in the Fintech industry through events and guest lectures from professionals / alumni, working in relevant fields. Where applicable, lecturers address any ethical issues that might arise in the practice of finance and banking. In so doing you are always encouraged to share your views with your lecturers and with your classmates, where a diversity of opinion is to be expected and appreciated.

The list of electives offered in a given year will be confirmed by February.

Assessment method

Course Work

Tests

Individual Presentations

- Group Projects

Entry requirements

- A UK upper second class degree or above, or the equivalent from an overseas institution, in a quantitative programme such as finance, economics, accounting, statistics, mathematics, physics, engineering or computer science - Work experience is not a requirement for this course, but if you have significant relevant work experience this will enhance your application. If you have been studying in the UK for the last three years it is unlikely that you will have to take an English language test. If you have studied in the UK at degree level for less than three years (e.g. 3+1, 2+1, 2+2, etc.) you will be required to provide the results of an approved English language test and possibly resit the test to meet our academic entry requirements.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

We have a range of scholarships for Master's degrees at Bayes Business Scool. Most scholarship applications for 2025/26 year of entry will open in January 2025. Students on the course who are sponsored in full or in part by their employer will need to complete a sponsorship form as part of the application process.