MSc Financial Technology FinTech

Module 1: Global Financial Technologies (30 credits)

Emerging financial models within digital ecosystems
Blockchain applications and central bank digital currencies (CBDCs)
Fintech platforms and ethical algorithmic governance
Financial innovation through regulatory, legal, and societal lenses
Advising on responsible financial strategies in digital industries

Module 2: Financial Programming and Technology (30 credits)

Hands-on Python for finance: algorithmic design and OOP
Econometric modelling and financial dataset analysis
Building automated solutions for FinTech systems
Reflective practice and contextual understanding of financial innovation
Foundations for quantitative analyst and FinTech developer roles

Module 3: Business Intelligence Using Power BI (30 credits)

Synthesise financial data into actionable insights
Dynamic dashboards, visual analytics, and interactive models
Integrate data from multiple sources using DAX and Python
Build interactive financial models for decision-support
Clarity, precision, and strategic communication in data-driven finance

Module 4: Financial Models, Markets and Instruments (30 credits)

Traditional and digital financial assets
Quantitative analysis and market theory
Asset pricing models, risk assessment, and portfolio strategies
Cryptocurrencies and digital instruments in financial ecosystems
Critical appraisal of emerging instruments and market behaviour

Module 5: International Dissertation (60 credits)

Independent, business-focused research project
Application of FinTech knowledge to a strategic challenge
Synthesis of programming, BI, markets, and FinTech knowledge
Research methods, critical thinking, and evidence-based decision-making
Final dissertation demonstrating academic rigour and practical relevance