University at Buffalo 3 credits Management Finance
Artificial Intelligence is playing a large and growing role in the decision-making of managers and finance professionals. To remain competitive in the age of AI, today’s finance experts must not only master modern AI tools but also learn to adapt them to finance-specific data, objectives, and constraints. AI in Finance introduces the concepts, tools, and applications of artificial intelligence in modern financial decision-making. The course connects foundational finance theory with data-driven methods, including supervised, unsupervised, and reinforcement learning. Students gain an understanding of state-of-the-art machine learning approaches–including ensemble methods, deep learning, and sequence models–and develop practical skills working with large-scale financial data. The course also covers generative AI, explainable AI, portfolio optimization, risk measurement and management, and backtesting/simulation. Emphasis is placed on rigorous evaluation and designing robust models suitable for real-world financial settings.
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