Artificial Intelligence (AI) and Finance

Catalog description

Drawing on the rich body of literature in Machine Learning (ML) and Large Language Models (LLMs) developed by Computer Science scholars and Finance professionals (e.g., Vaswani et al., 2017; Kelly et al., 2025 NBER), this course explores the transformative applications of AI-driven technologies in the field of finance. Students will gain a solid foundation in key concepts such as machine learning (including unsupervised learning and supervised learning), natural language processing (NLP), and language models, while examining their practical applications across major financial domains. The curriculum bridges theoretical frameworks with hands-on, task-specific implementations in areas including financial disclosure analysis, ML-based time‑series forecasting, etc. The course also covers ethical considerations, regulatory challenges, and the evolving role of business professionals in an increasingly AI-driven world.