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The Master of Science in Financial Technology at Glasgow Caledonian University is designed for students who want to sit right at the intersection of finance, data and technology. It suits those who are curious about how tools like artificial intelligence, data analytics and digital platforms are transforming banking, payments and financial services worldwide.
Curriculum Structure
At the start of the programme, you focus on building a solid understanding of how modern financial systems work. Modules such as Fundamentals of Financial Technology, Banking and Financial Regulation, and Bank Risk Management introduce you to the regulatory environment, financial institutions and the risks that shape today’s global markets, giving you strong contextual grounding.
As you move forward, the programme becomes more technical and hands-on. Through modules like Software Development for Data Science, Artificial Intelligence and Machine Learning, and Data Visualisation, you learn how to work with financial data, develop analytical solutions, and use technology to support smarter financial decision-making in real-world contexts.
In the final stage, you bring everything together in the Finance and Analytics Research Project. This capstone project allows you to explore a fintech-related problem in depth, apply advanced analytical methods, and demonstrate your ability to carry out independent, industry-relevant research.
Focus areas: Financial technology, banking regulation, financial risk, data science, artificial intelligence, analytics and applied research.
Learning outcomes: Graduates develop the ability to analyse complex financial data, design technology-driven financial solutions, understand regulatory and risk frameworks, and confidently apply research and analytical skills in professional settings.
Professional alignment (accreditation): The programme is professionally accredited by the Chartered Banker Institute, adding long-term value for students planning careers in banking and financial services.
Reputation (employability): Glasgow Caledonian University is known for its strong industry-focused approach, with postgraduate programmes designed to align closely with employer needs in finance, technology and analytics.
What makes this programme particularly valuable is its practical focus. Alongside academic learning, students gain hands-on exposure to industry-standard tools and facilities that mirror the environments used in professional financial roles, helping bridge the gap between theory and practice.
This practical experience is developed through:
Bloomberg Suite access, allowing you to work with real-time financial data and analytics used by professionals across global financial markets.
Specialised computing labs and software, where you apply programming, data science and visualisation techniques directly linked to modules like Software Development for Data Science and Data Visualisation.
Guest lectures and industry engagement, offering insights into current fintech trends, career pathways and real challenges faced by financial institutions.
Collaborative group projects and case studies, helping you develop teamwork, communication and problem-solving skills that employers actively look for.
An independent research project, where you investigate a real fintech or financial analytics problem and present your findings at a postgraduate level.
Graduates of the MSc Financial Technology leave with a skill set that is highly relevant across banking, finance and technology-driven industries. Whether you are aiming for roles in established financial institutions or fast-growing fintech companies, this programme prepares you for data-driven, analytical careers such as:
FinTech Analyst
Financial Data Analyst
Risk and Compliance Specialist
Digital Finance or Blockchain Consultant
Students are supported by Glasgow Caledonian University’s Careers and Employability services, which provide tailored guidance, career planning support and opportunities to strengthen employability throughout the programme. Exposure to platforms like Bloomberg and engagement with industry speakers further helps graduates stand out in competitive job markets.
Further Academic Progression:
After completing the degree, students may choose to continue into doctoral research in financial technology or related fields, pursue advanced qualifications in data science or analytics, or gain professional certifications that further enhance their expertise and career progression.
Minimum academic requirement: UK honours degree 2:2 (or equivalent) in a relevant computing subject or in a finance subject with an appropriate maths or computing component.Academic IELTS score of 6.0 (or equivalent) with no element below 5.5.TOEFL iBT/Home Edition: Overall score of 78 with the following minimum element scores; Listening 17, Reading 18, Speaking 20, Writing 17. (24/25 entry onwards)Indian XII standard: English at 70% or higher. We are only able to accept CBSE and CISCE XIIs as acceptable English Language evidence, not those issued by a State Board or NIOS.USA: Four-year bachelor's degree with a minimum GPA of 2.7/4.0.China: 2.2 65% 70%. A three-year Junior College plus a two-year undergraduate degree may also be considered.India: Four-year bachelor's degree (50% minimum; second class average over course duration). Three-year bachelor's degree (60% minimum; first-class average over course duration)With its strong presence in the technology industrygovernment backingand a culture of entrepreneurship and innovationUK companies have captured 10% of the global fintech marketcontributing over £11 billion annually to the country's economyThe sector currently employs around 76000 individualsand this number is projected to exceed 105000 by 2030Scotlandin particularhosts over 100 fintech companies and has been recognized as the top European destination for launching tech ventures
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