Jointly delivered by the University of Aberdeen Business School and School of Natural & Computing Sciences, this programme brings together expertise in mathematics, computer science, finance, and economics to deliver a fully integrated learning experience in Financial Technology.
FinTech is a continually growing industry in Scotland, with significant merging of finance and technology, but this also requires a varied skill set to succeed. The MSc Financial Technology offers a rigorous introduction to Python, the dominant programming language in FinTech as well as machine l...
Jointly delivered by the University of Aberdeen Business School and School of Natural & Computing Sciences, this programme brings together expertise in mathematics, computer science, finance, and economics to deliver a fully integrated learning experience in Financial Technology. <br/><br/>FinTech is a continually growing industry in Scotland, with significant merging of finance and technology, but this also requires a varied skill set to succeed. The MSc Financial Technology offers a rigorous introduction to Python, the dominant programming language in FinTech as well as machine learning and data science. The programme also highlights the inherent risks to the industry such as security breaches and the effects these can have on banks and other financial service providers.<br/><br/>This degree is open to people from any discipline and will provide students with an interdisciplinary learning experience in financial services and technology from experts in their respective fields.<br/><br/>The Business School is internationally recognised and plays a major role in industry through research, and consultancy. Not only will you acquire the business knowledge essential to success, you’ll also develop the crucial characteristics – such as strong communication and interpersonal skills, quantitative knowledge and technical skills – most sought after in the highly competitive global business environment.<br/><br/>The School of Natural & Computing Sciences has a long-standing reputation in Intelligent Systems, with world recognised expertise in areas such as multi-agent systems, natural language generation, knowledge graph and semantic web. <br/><br/>By bringing together students from both financial and computing backgrounds, students will benefit from a richer experience, learning from their peers and gaining an in-depth understanding of both sectors and how they interconnect.
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Course Details
Information
Study Mode
Full-time
Duration
12 Months
Start Date
15/09/2025
Campus
Main Site
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
A20
Points of Entry
Unknown
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