MSc FinTech and Trading

About MSc FinTech and Trading

This master's programme is tailored for those eager to dive into the future of financial services. You’ll gain hands-on expertise with trading platforms, emerging technologies like blockchain, AI, and machine learning, and advanced financial modeling—using tools such as R, Python, and VBA.

Quick Facts
Duration
1 year (Full-time)
Flexible Intakes
Four entry points each year
Course Overview

A standout feature is the "Trading Room" environment, where students use the London Stock Exchange (LSEG) Workspace to analyze live market data, simulate trades, and deepen understanding of market behavior. This immersive learning model helps you bridge the gap between theory and practical application, preparing you for careers at the intersection of finance and technology.

Modules
Modules
  • Financial Modelling and Design (30 credits): Excel + VBA for modeling financial statements, valuations, risk analysis
  • Programming for Financial Products and Services (30 credits): R & Python for building financial products and data solutions
  • Blockchain and Distributed Ledger Technology (30 credits): Applied blockchain development and crypto fundamentals
  • AI and Machine Learning Technologies (30 credits): Hands-on use of AI and ML libraries in financial contexts
  • Financial Markets and Trading (30 credits): LSEG Workspace-based market analysis and trading risk management
  • Research Project (30 credits): Consultative analysis of real-world financial industry challenges with strategic recommendations
Entry Requirements
  • A 2:2 honours degree (or equivalent professional qualification)
  • English proficiency: IELTS 6.0 with a minimum of 5.5 in each section
Careers

This programme equips you with both technical and strategic capabilities aligned with top-tier roles in financial innovation, supported by immersive simulations, live market tools, and strong industry ties.

Career Routes
Financial Model Developer
FinTech Project Manager
Blockchain or Crypto Analyst
Algo Trading Specialist
Quantitative Risk Analyst
AI & Data Scientist in Financial Services
Financial Technology Consultant
Additional Information

Graduates are well-positioned to pursue further professional certifications (e.g., CFA, CQF) or enterprise roles in financial innovation and digital transformation.

Interested in this course?

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