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Financial Technology (Taught)

  • MS
  • 1 Years
  • Full-time
  • 23/09/2025
  • Postgraduate
Main Site
More about University of Warwick

Course options

2025-20262026-2027
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Course summary

This interdisciplinary course will teach you to innovate and adopt new technologies to transform the financial industry, democratise finance, and accelerate financial inclusion.

The course was devised out of our Gillmore Centre for Financial Technology, a world-class, cutting-edge research hub focusing precisely on this subject.

You’ll first be trained in quantitative methods, data science, artificial intelligence, blockchain technology, finance, and information systems. As your knowledge develops, we’ll be encouraging you to evolve your creative mindset by challenging and critically evaluating established paradigms within the field.

Not just another finance course with a couple of crypto or AI modules, our MSc Financial Technology provides an in-depth, specialised curriculum designed for the FinTech era.

Key benefits

  • Acquire the skillset needed for a successful career at the intersection of technology, AI, and finance

  • Exposure to presentations from leading FinTech practitioners and networking opportunities

  • Study and work with the Gillmore Centre for Financial Technology

  • Unique FinTech in Practice option to finetune the skills learned on the course in a realistic, situational format

  • Gain expert insight taught by renowned faculty from our Finance and Information Systems Management & Analytics Group (ISMA)

  • Candidates from diverse backgrounds welcome

This information is applicable for 2025 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.

Modules

Core Modules

  • FinTech: Digital Currencies and Decentralised Finance
  • Generative AI and AI Applications
  • Foundations of Finance
  • FinTech for Consumer Financial Services
  • Blockchain and Distributed Ledger Technologies
  • Programming and Big Data Analytics
  • Cybersecurity in Business.

Optional modules
Optional modules can vary from year to year. Example optional modules may include:

  • Entrepreneurship and Business Venturing
  • Digital Business Services
  • Case Studies in Data Science & Economics
  • Financial Analytics
  • Alternative Investments
  • Algorithmic Trading and Robo Advising
  • Research Methods.

Assessment method

Assessment on the course will be comprised of a mix of exams, individual and group work, and tests.

Ways to study this course

Campuses

  • Main Site

Study options

  • MS • Full-time • 1 Years

Start dates

  • 23/09/2025

Open days

Entry requirements

Minimum requirements
2.1 achieved at Undergraduate level
We do not require a GMAT or GRE score, this will not be considered as part of your application or affect your outcome.

English language requirements
You can find out more about our English language requirementsLink opens in a new window. This course requires the following:

Band B
IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.

International qualifications
We welcome applications from students with other internationally recognised qualifications.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

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