Financial Technology (FinTech) MSc

1 Year On Campus Masters Program

Queen Mary University of London

Program Overview

The MSc Financial Technology (FinTech) at Queen Mary University of London is designed for students who want to sit at the intersection of finance, data, and technology. It’s ideal if you’re excited by how tools like AI, machine learning, and blockchain are reshaping banking, trading, and financial regulation, and want practical skills that employers actively look for.

Curriculum Structure

Year of Study (Full-Time MSc)

At the start of the programme, you’ll focus on building strong technical and analytical foundations through modules such as Introduction to Machine Learning and Quantitative Methods in R, helping you become confident in data analysis, coding, and problem-solving within financial contexts. This stage ensures that students from both finance and non-technical backgrounds develop a shared skill base.

As you progress, the course moves into applied FinTech learning with core modules like Big Data Applications for Finance and Asset Pricing, Trading and Portfolio Construction, where you learn how modern financial markets operate using advanced technology and data-driven strategies. Alongside this, AI and Financial Law gives you a clear understanding of how innovation must align with legal and regulatory frameworks.

Towards the end of the programme, you’ll specialise further through options such as Blockchain Economics and Financial Market Innovation, Systematic Trading Strategies, or Neural Networks and Deep Learning. You’ll complete a research project or dissertation, allowing you to explore a real-world FinTech problem in depth and demonstrate your expertise to future employers.

Focus areas (in a string):

Financial technology innovation, machine learning and artificial intelligence for finance, big data analytics, blockchain and digital markets, quantitative trading, financial regulation and law.

Learning outcomes (in a string):

Strong technical and analytical skills for FinTech roles, ability to apply machine learning and data techniques to financial problems, understanding of regulatory and legal constraints in financial innovation, independent research and problem-solving capability.

Professional alignment (accreditation):

Delivered by Queen Mary’s School of Economics and Finance with contributions from the School of Electronic Engineering and Computer Science and the Centre for Commercial Law Studies, ensuring the programme reflects real-world financial, technological, and regulatory practice.

Reputation (employability rankings):

Queen Mary University of London has a strong global reputation in economics and finance, with related subjects consistently ranked highly in major league tables such as QS and Shanghai Rankings, supporting graduate employability in competitive financial and technology sectors.

Experiential Learning (Research, Projects, Internships etc.)

On the MSc Financial Technology (FinTech) at Queen Mary University of London, learning goes far beyond lectures. You’ll regularly apply what you study using real financial data, professional software, and collaborative projects that reflect how FinTech teams actually work in the industry. From specialised computer labs and financial databases to hands-on simulations and research-led projects, the programme is designed to help you graduate with confidence, practical experience, and a strong professional skill set. All of this comes together naturally through coursework, projects, and optional industry-focused opportunities:

Specialist finance and computing labs: You’ll study and work in dedicated computer labs equipped with industry tools, giving you the space to analyse data, code financial models, and test ideas in a professional environment.
Bloomberg terminals and financial databases: Access real-time and historical market data through Bloomberg terminals and complete the Bloomberg Market Concepts (BMC) certification, a recognised credential valued by employers in finance and FinTech.
Programming and analytics tools: Develop practical skills using MATLAB, R, and programming techniques commonly applied in quantitative finance, data analysis, and algorithmic trading.
Applied simulations with AmplifyME: Take part in immersive finance and markets simulations that replicate real roles in trading, investment banking, and quantitative finance, helping you understand workplace expectations and build employability skills.
Student-managed investment experience: Join the Queen Mary MSc Investment Fund, where students collectively manage real investments, gaining exposure to portfolio decision-making, risk management, and teamwork.
Industry-linked research projects: Your dissertation or research project can be shaped around real-world financial technology challenges, with opportunities to work on applied problems using real datasets.
AI mentoring and professional engagement: Benefit from initiatives such as the AI Mentoring Programme, where students connect with professionals from global financial institutions to explore applied uses of AI in finance.
Libraries and research centres: Make full use of Queen Mary’s extensive library services and research-active environment, including expertise from the School of Economics and Finance and related interdisciplinary centres.

Together, these experiences ensure that you don’t just understand FinTech in theory — you learn how to apply it in realistic, professional settings, giving you a strong edge when entering the job market.

Progression & Future Opportunities

Graduates of the MSc Financial Technology (FinTech) at Queen Mary University of London move into careers where finance and technology genuinely intersect. Many go on to work as FinTech Analysts, Quantitative Analysts, Digital Banking or Payments Specialists, or RegTech and Risk Consultants, supported by London’s strong financial ecosystem and Queen Mary’s career guidance — bringing everything together:

Careers support that continues after graduation: Queen Mary’s Careers & Enterprise service supports you throughout your studies and for up to three years after you graduate, offering personalised career advice, CV and LinkedIn reviews, mock interviews, employer talks, and recruitment events tailored to finance and technology careers.
Positive employment outcomes: Graduates from MSc programmes within the School of Economics and Finance have a strong track record, with around 90% in employment or further study within 15 months, and average UK salaries in the mid-£30,000s, reflecting the programme’s relevance to skilled, in-demand roles.
London location and industry exposure: Studying in London places you close to major financial hubs such as the City and Canary Wharf, giving you regular access to networking events, employer presentations, and opportunities with banks, FinTech firms, consultancies, and regulatory organisations.
Employer-valued experience and credentials: Practical experiences such as Bloomberg Market Concepts certification, AmplifyME finance simulations, and involvement in the Queen Mary MSc Investment Fund help you stand out by showing employers that you can apply theory in realistic, professional settings.
A degree with long-term value: Delivered by the School of Economics and Finance at a Russell Group university, this MSc carries strong academic credibility and global recognition, supporting your career progression well beyond your first role.

Further Academic Progression:
If you decide to continue studying, this MSc provides a strong platform for advanced academic or professional development. Graduates often progress to PhD study in Financial Technology, Finance, Computer Science, or Data Science, or strengthen their profile with professional qualifications such as CFA or FRM, particularly if they aim for senior, specialist, or research-focused roles in finance and technology.