This course provides an academic and research-focused exploration of artificial intelligence and big data applications in finance. It is based on a series of expert webinars hosted by leading researchers in the field, offering deep insights into the intersection of finance, data science, and machine learning.

You will learn how AI and big data are reshaping financial theory and practice, particularly in areas such as market behavior, asset pricing, and economic decision-making. The course highlights cutting-edge research on how large-scale data analysis improves our understanding of financial systems and market efficiency.

A key focus is the methodology behind financial data science, including how researchers design models, test hypotheses, and interpret results using advanced AI techniques. It also explores the broader socioeconomic implications of AI adoption in financial markets, including its impact on institutions, investors, and policy-making.

The webinars feature discussions from leading academics who share insights into current research trends and future directions in AI-driven finance. These conversations help bridge the gap between theoretical research and real-world financial applications.

Overall, this course is ideal for researchers, graduate students, and finance professionals who want to deepen their understanding of AI and big data from an academic perspective and stay updated with the latest developments in financial research.