FinTech (Taught)

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.

Key course content includes:

• Artificial intelligence in fintech: AI applications in fintech

• Governance and sustainability: the financial and ethical challenges facing modern corporations

• Econometric modelling: statistical techniques of estimation, hypothesis testing and modelling

• 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).

Why you should study this course

• 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

• develop your industry-relevant skills in Python, MATLAB and LSEG Workspace

• obtain Bloomberg Market Concept (BMC) and Environmental Social Governance (ESG) certifications at no additional cost

• learn from professionals with industry and research experience and interact with expert guest practitioners and scholars of finance (opportunities not guaranteed)

• access career coaching and mentoring to help your career planning and profile development

• 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.

For more information please visit the website.