FinTech MSc

This course is designed for non-specialists to explore the evolving relationships among corporations, financial markets and investors. Course content combines financial theory, AI approaches and hands-on learning with tools like Python and MATLAB coding programmes to prepare you for a dynamic financial landscape.<br/><br/><strong>Key course content includes:</strong><br/><br/><br/>• Artificial intelligence in fintech: AI applications in fintech<br/><br/><br/><br/>• Governance and sustainability: the financial and ethical challenges facing modern corporations<br/><br/><br/><br/>• Econometric modelling: statistical techniques of estimation, hypothesis testing and modelling <br/><br/><br/><br/>• Big data analytics using Python: understand and apply various knowledge representation approaches that are available for organising different data types, including structured data (fundamental/or analytical data) vs unstructured data (such as financial news and media news).<br/><br/><br/><br/><strong>Why you should study this course</strong><br/>- access a modern Bloomberg Trading Floor, which promotes dynamic learning through real-time data streaming so you can learn the skills needed to work in the finance industry<br/><br/><br/>- develop your industry-relevant skills in Python, MATLAB and LSEG Workspace<br/><br/><br/>- obtain Bloomberg Market Concept (BMC) and Environmental Social Governance (ESG) certifications at no additional cost<br/><br/><br/>- learn from professionals with industry and research experience and interact with expert guest practitioners and scholars of finance (opportunities not guaranteed)<br/><br/><br/>- access career coaching and mentoring to help your career planning and profile development<br/><br/><br/>- apply best practices for AI tools and entrepreneurship in fintech, banking and corporations, and enhance your understanding of privacy, ethics and the fintech regulatory landscape.<br/><br/><br/>For more information please visit the website.