Artificial Intelligence in Finance

[0.50] credits · Graduate

This course examines the application of artificial intelligence, machine learning, and modern computational methods in finance. It introduces students to reproducible data workflows in popular programming languages and to selected applications in areas such as empirical asset pricing, portfolio management, risk measurement, derivatives, financial prediction, text analysis, and generative AI. Emphasis is placed on linking finance theory with data-driven methods, critically evaluating model performance, and producing transparent and replicable analyses. Specific applications may vary across offerings as the field continues to evolve.