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MSc Financial Technology

  • DeadlineStudy Details:

    MSc 1 year full-time

Masters Degree Description

The financial services sector has changed and is being disrupted by new emerging technologies and brand-new business models. This one-year Master's aims to make you an expert in both. Our Financial Technology MSc takes a computer-science-first approach, enabling you to stay ahead of the innovations that are changing the financial services industry.

Emerging technologies are reshaping the financial sector, requiring constant innovation to stay competitive. This Master's programme will deepen your understanding of these technologies and how to apply them to financial services. 

Spanning business, finance, and technology, this programme puts you at the cutting edge of the field. 

You will gain deep insights into blockchain, machine learning applications in finance, core finance principles, programming, and business strategy. The programme also provides opportunities to explore quantitative finance, algorithmic trading, database technologies, and financial policy and regulation.

Practical coursework reflects real-world scenarios. You'll complete a significant project during the summer term, either in collaboration with an industry partner or as an academic research project supervised by UCL's leading academics.

Entry Requirements

A minimum of an upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. Programming experience in a language such as Python, C++ or Matlab is an advantage but is not mandatory. Relevant work experience is also taken into account. Some programming experience means that you have experience of working on projects deploying code or have passed modules/ assessments in your previous education with coding components. If you do not have this knowledge, there will be tutorials offered at the beginning of the programme, but you will be expected to get up to speed rapidly. A self-assessment test will be available to determine if you will need additional support for coding. A good knowledge of linear algebra, statistics and probability theory will be assumed.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Graduates are well-prepared for careers in traditional financial services, fintech companies, consulting firms, or technology roles within financial institutions. The programme also provides the entrepreneurial knowledge needed to thrive in the start-up ecosystem.

Employability

This programme equips you with highly relevant skills for today’s finance world, including knowledge of new digital business models, innovation through technology, blockchain, and machine learning applications in finance. You will also develop strong quantitative finance skills, programming expertise, and the ability to apply technology in financial domains.

Module Details

Compulsory modules

  • Digital Finance
  • Innovation and Strategy in Finance
  • MSc Financial Technology Project
  • Machine Learning with Applications in Finance
  • Blockchain Technologies

Optional modules

  • Financial Engineering
  • Database Fundamentals
  • Software Engineering and Product Management in Financial Technology
  • Data-driven Modelling of Financial Markets
  • Algorithmic Trading
  • Advanced Machine Learning in Finance
  • Policy and Regulation for Financial Technology
  • Distributed Ledger Technologies Seminar

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