MSc FinTech and Trading
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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.
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.
Academic Journey
Duration: 1 years (Full-time)
Flexible Intakes: Four entry points each year
Inside the Learning Segments
- 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.
- A 2:2 honours degree (or equivalent professional qualification)
- English proficiency: IELTS 6.0 with a minimum of 5.5 in each section
Discover Your Career Direction
This programme equips you with both technical and strategic capabilities aligned with top-tier roles in financial innovation. Instruction occurs in London’s heart of finance, supported by immersive simulations, live market tools, and strong industry ties.
Career routes
Graduates often pursue roles such as:
- 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
Graduates are also well-positioned to pursue further professional certifications (e.g., CFA, CQF) or enterprise roles in financial innovation and digital transformation.
Interested in this course?
We’re here to help you take the next step in your educational journey. Contact us for more information or to apply for this course.