Financial Technology, MSc

12 Months On Campus Masters Program

University of Aberdeen

Program Overview

The MSc Financial Technology at the University of Aberdeen is an exciting interdisciplinary master's designed to equip you with skills at the intersection of finance, computing, and data science — exactly what today’s FinTech employers are looking for. You’ll learn to apply programming, advanced analytics, machine learning, and financial principles to solve real-world problems in financial services and technology.

Curriculum Structure

Year/Stage 1 – Foundational Expertise

In the first stage, you’ll build strong technical and quantitative foundations with modules such as Introduction to Programming and Database Systems and Big Data, where you learn to code and manage complex data structures. You’ll also study Financial Mathematics I & II, developing your ability to model financial markets mathematically and understand key financial theories essential for FinTech innovation.

Year/Stage 2 – Core FinTech Skills

Stage 2 takes you deeper into problem-solving and computational analysis with Empirical Methods in Finance Research, sharpening your ability to investigate financial data. Advances in Machine Learning in Finance introduces you to cutting-edge AI techniques used in algorithmic trading, risk assessment, and predictive modelling. Financial Crime and Cyber Security equips you with an understanding of the risks and safeguards critical in digital finance environments. You can also tailor your degree with optional modules such as Portfolio Analysis or Financial Markets and Regulation to align with your career goals.

Year/Stage 3 – Capstone Project

In the final stage, you’ll complete the FinTech Dissertation, a substantial independent research or applied project that allows you to integrate your learning and demonstrate your ability to tackle real FinTech challenges — a powerful addition to your professional portfolio.

Focus Areas

Financial programming (Python), machine learning in finance, financial mathematics, big data analytics, cyber security, and risk in financial systems.

Learning Outcomes

Graduates will be able to apply programming and data analytics to financial problems, understand machine learning applications in finance, evaluate financial risks and cyber threats, and integrate quantitative and business insights to drive technology-enabled financial solutions.

Professional Alignment (Accreditation)

The programme is delivered jointly by the University of Aberdeen Business School and the School of Natural & Computing Sciences, ensuring robust academic standards recognised across industry. It blends technical programming, analytics, finance, and economics — a combination that aligns with the skills sought by employers in FinTech, consulting, banking, data analysis, and regulatory roles.

Reputation (Employability & Rankings)

The University of Aberdeen has an established international reputation, backed by a research-intensive environment and strong engagement with industry. Graduates from this MSc are positioned for competitive careers in financial services, technology, and analytics.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Aberdeen, the MSc Financial Technology goes beyond traditional lectures, giving you plenty of opportunities to gain practical, hands-on experience. You’ll work with the same tools and data used by professionals in the financial industry, supported by excellent facilities that help you bring theory to life. From coding in Python and applying machine learning to exploring real market data, the programme ensures you graduate with the skills employers actually need. The campus also offers a wealth of resources to support your learning, research, and collaborative projects:

Bloomberg Terminal access in the virtual finance lab: Work with real-time and historical market data, perform analytics, and practice investment decision-making just like in a professional finance environment.
Group and individual projects: Apply what you learn in Python, machine learning, and cyber risk to real or simulated challenges, often working in teams to develop collaboration skills that reflect the workplace.
Sir Duncan Rice Library and computing services: Take advantage of world-class library collections and on-campus computing support for your coursework, programming assignments, and dissertation research.
Student societies and professional engagement: Join finance and technology clubs that host industry speakers and networking events to build professional connections and soft skills alongside your studies.
High-performance computing support: Access university-wide computing resources to handle data-intensive and algorithmic work that may be part of your research or projects.
Campus facilities and support services: Enjoy study spaces, reliable Wi-Fi, and a supportive environment that helps you practice your skills, complete group work, and prepare for your future career.

Progression & Future Opportunities

Graduates from the MSc Financial Technology at the University of Aberdeen are well-equipped to step into roles where finance and technology intersect, such as FinTech Analyst, Data Analyst in financial services, Risk and Compliance Specialist, or Quantitative Developer. Many find opportunities in technology firms, financial institutions, consultancy practices, or even start their own ventures, drawing on the technical, analytical, and business skills developed during the programme. The university also provides strong support and connections to help you move confidently into your chosen career:

Support from the Careers and Employability Service: You can access personalised career planning, one-to-one guidance, CV and application feedback, interview preparation, and employer events. These services continue to support you even after graduation.
Work experience and internships: The university offers part-time jobs, paid internships, graduate roles, and volunteering opportunities that help you gain practical skills alongside your studies.
Graduate outcomes and employability: Aberdeen graduates are known to achieve strong employment or further study outcomes within 15 months of completing their degree, with many working in skilled, professional roles.
Industry connections: The university’s location and professional networks provide access to UK and international employers. The Business School’s reputation and wider university links help you connect with opportunities in sectors where FinTech expertise is in demand.
Long-term accreditation value: A postgraduate degree from the University of Aberdeen Business School enhances your credibility with employers and equips you with transferable skills in data analytics, programming, and finance.

Further Academic Progression:
If you want to continue your studies, you could pursue a PhD in Finance, Economics, Data Science, or Computing, building on your FinTech knowledge to explore advanced topics in financial innovation or machine learning. Graduates may also choose professional qualifications or specialised certifications in data analytics, risk management, or financial regulation to further strengthen their career profile.