Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full-time
18-20 months full-time with professional practice
Up to 2 years full-time with professional placement
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.
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.
Successful graduates may seek positions in the following job roles: banking and regulatory professional, innovation expert, entrepreneur, bank consultant, financial analyst, data scientist, roles in international financial and government institutions, or opportunities in Academia, including further PhD study.
Financial Services and Digital Banking — 30 credits
Quantitative Methods and Python Programming — 30 credits
Applied Al and Machine Learning — 30 credits
Entrepreneurship and Al Risk Management — 30 credits
Master's with professional practice
Master's with professional placement
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