MSc in Financial Services and Technology

Overview

This course equips you to become a skilled manager and practitioner in the financial services industry. You’ll gain hands-on experience with practical trading systems and emerging financial technologies, including blockchain, artificial intelligence (AI), and machine learning.

A highlight of the programme is the Trading Room environment, where you’ll use the London Stock Exchange (LSEG) Workspace to analyse live market data like a professional trader. You’ll also learn to solve real-world financial challenges and build accurate financial models, preparing you for the complexities of modern financial markets.

Why Choose This Course?

• Be among the first students at our brand-new London campus.

• Study in Canary Wharf, the heart of London’s business and finance district.

• Flexible learning: four intakes per year, with classes held two to three days per week.

• Recognised among the world’s top young universities (THE Young University Rankings 2024).

• Ranked 2nd in the UK for international student diversity (QS Europe 2025).

• Awarded a Silver rating in the Teaching Excellence Framework (TEF 2023) for the high quality of teaching and learning.

Course Structure

This full-time, one-year master’s programme is modular. You must successfully complete all six modules to earn your degree. The course combines lectures, seminars, and group work, supported by independent research and directed study to develop advanced intellectual and analytical skills.

Core Modules:

Financial Modelling and Design (30 credits)
Learn to build accurate financial models using Excel and VBA. Develop expertise in modelling financial statements, cash flow valuation, risk analysis, and real options.

Programming for Financial Products and Services (30 credits)
Acquire coding skills in R and Python to create financial products and solutions. Gain practical experience handling data, writing functions, and developing applications for real-world financial problems.

Blockchain and Distributed Ledger Technology (30 credits)
Explore the use of blockchain in payments, insurance, lending, securities settlement, and contracts. Learn to create simple blockchain applications using Python and understand cryptocurrencies and their underlying technology.

Artificial Intelligence and Machine Learning Technologies (30 credits)
Develop skills to implement AI and machine learning solutions for financial services. Gain hands-on experience with machine learning libraries and neural networks to solve supervised and unsupervised problems.

Financial Markets and Trading (30 credits)
Understand the dynamics of global financial markets using the LSEG Workspace. Learn trading strategies, risk management, and regulatory frameworks to navigate markets successfully.

Research Project (30 credits)
Undertake an independent research project addressing challenges faced by financial institutions. Act as a management consultant, providing strategic recommendations while honing your analytical, evaluative, and problem-solving skills.

Entry Requirements

• A 2:2 honours degree or equivalent professional qualifications.

• English language proficiency (IELTS 6.0 with minimum 5.5 in each component). Other qualifications are accepted; please check the full list.

Accreditation of Prior Learning (APL)

If you have prior learning or relevant work experience, you may receive credit towards the course, potentially exempting you from some modules. Contact our Admissions team for guidance.