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BSc FinTech with Data Analytics
About this course
FinTech with data analytics sits at one of the most dynamic intersections in the contemporary economy, combining the rapidly evolving world of financial technology with the quantitative and computational skills needed to make sense of the vast amounts of data that financial systems generate and depend on. Financial technology encompasses the digital platforms, payment systems, algorithmic trading, blockchain applications, lending marketplaces, and regulatory technologies that are reshaping how financial services are delivered. Data analytics provides the tools to extract insight from complex datasets, to build predictive models, and to support decision-making in finance and beyond. At the University of Westminster in London, this three-year full-time degree draws together computer science and finance, building your computing literacy from the ground up while developing your theoretical understanding of the frameworks that underpin FinTech and data analytics. You will master industry-standard software and programming languages alongside the conceptual foundations of financial markets, risk, and regulation. The programme includes a sandwich year, a year abroad option, and a work placement, providing structured opportunities to apply your skills in professional settings and to develop the industry connections that are increasingly important in a competitive graduate market. Westminster's London location gives you direct access to one of the world's leading financial and technology centres. Graduates from FinTech with Data Analytics programmes are well placed for careers across financial services, technology companies, and the growing FinTech sector itself. Roles in quantitative analysis, financial data science, software development for financial applications, algorithmic trading, compliance technology, and product management in FinTech firms are all accessible. The combination of financial and technical skills is also valued in consultancy, regulation, and the technology functions of banks, insurers, and investment managers. For those drawn to research or advanced study, the degree provides a strong foundation for postgraduate programmes in data science, financial engineering, or FinTech. The typical entry tariff is 120 points.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 40 respondents (75% response rate)
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