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Financial Technology MSc at Coventry University - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Open days

3Sep
Coventry University - Postgraduate Open Day
Postgraduate

Course summary

Choose your start date You have six opportunities to join this course throughout the year. Practical experience Boost your CV with additional professional practice on campus, a nine-week internship, or a longer professional placement. See the modules for more details. About the course This course is designed for those seeking a career in the FinTech sector. It will provide you with a comprehensive study of the field through hands-on projects, industry insights and real-world applications.  

  • Gain expertise in digital banking, AI, and machine learning in finance.
  • Develop practical skills through Python programming, data analysis, and ethical considerations of AI implementation.
  • Explore the entrepreneurial aspects of FinTech and learn how to manage AI-related risks effectively.
Why you should study this course
  • Industry-relevant skills: develop expertise in the most in-demand FinTech skills, including data science, AI, and machine learning.
  • Prime study location: study in the heart of London's FinTech hub, providing access to industry networking and career opportunities.
  • Experienced tutors: learn from experienced academics and industry professionals with real-world FinTech expertise.
  • Practical application: gain hands-on experience with Python and machine learning algorithms through applied projects.
  • FinTech leadership career focus: prepare for leadership roles in FinTech startups, financial institutions and regulatory bodies.
  • Gain practical experience: boost your CV with additional professional practice on campus, a nine-week internship, or a longer professional placement.
See the modules for more details. **Partnerships and collaborations Chartered Institute for Securities and Investment (CISI)** Coventry University is a CISI education partner. This means you'll be offered the chance to take the Certificate in Ethical Artificial Intelligence (AI) as part of the course at no additional cost. Want to pursue further CISI qualifications? You can do so for a 50 per cent discount. Simply book through the CISI customer support team at [email protected]. Please note that completing CISI exams outside of the course requires you to apply directly to CISI. There may be additional criteria and fees. For full details, visit the CISI website. For the latest information, please view our website.

Modules

Financial Services and Digital Banking (30 credits). Quantitative Methods and Python Programming (30 credits). Applied AI and Machine Learning (30 credits). Entrepreneurship and AI Risk Management (30 credits). Masters with Professional Practice. Masters with Professional Placement. Dissertation or Internship Project (60 credits). For the latest information, please view our website.

Entry requirements

An honours degree 2:2 or above (or international equivalent) in any related discipline. Evidence of relevant professional qualifications equivalent to Level 6 or at least two years finance-related work experience will be considered. We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

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

Please see our website for details.
Financial Technology MSc at Coventry University - UCAS