Overview

Fintech is changing the financial world - from Cryptocurrency, coding and artificial intelligence to smartphone use in banking and investments. Simply put, Fintech is the technology that works with financial exchanges. Employment roles in the field include being a cybersecurity analyst, an AI and Machine Learning Engineer or financial software and app developer.

Our brand-new MSc FinTech course has been developed jointly by industry leaders and academic experts and sets out to prepare graduates with a strong background in financial theory and an integral understanding of the latest innovative technologies imperative in the sector. Further, our Bloomberg Finance Lab allows students to apply their learnings to real business data.

Taking a 12-month industrial placement allows you to gain work experience in the UK or overseas as part of your Master's. While the placements are self-sought, the School offers support through extra-curricular engagement with our dedicated placements team. Opting for this course with a placement takes the length of your course to up to two years.

Watch our Postgraduate Placements video here.

Reasons to study MSc FinTech with Industrial Placement at Kent

• Kent Business School is a ‘Triple Crown’ accredited business school placing us in the top 1% of business schools globally to be accredited by AMBA, EQUIS and AACSB
• You’ll be part of a supportive community at our Medway campus, 40 minutes from London
• You’ll learn from our expert teaching staff, many of which appear in the top 2% of researchers worldwide
• You can increase your career prospects through an Industrial Placement or In-Company Student Consultancy Project, or even transform your idea into a business through the Business Start-Up Journey with ASPIRE
• You’ll gain access to employability support from enrolment up to 3 years after graduation at the historic Rochester Cathedral

What you’ll learn

You’ll gain knowledge and understanding of programming for Python, algorithmic trading, risk management and quantitative methods and optional modules covering areas such as machine learning, forecasting and big data. You will finish your master's with a detailed report with the support of a dedicated expert supervisor.

~ Alex Lancaster, Finance, PhD