NBAY 5060

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  • Schedule of Classes - November 4, 2026 7:06PM EST

NBAY 5060
Introduction to Finance Analytics

Course information provided by the 2026-2027 Catalog.

The purpose of this course is to give students a broad understanding of how artificial intelligence (AI) and machine learning (ML) can be used in financial analysis and decision-making. The emphasis is on helping students understand and apply modern analytical tools to extract information from financial data, identify patterns, generate predictions, and support investment and business decisions. The course format is a combination of examples, case studies, lectures, and hands-on applications. Potential topics include financial data sources, machine learning methods for financial prediction, natural language processing of financial documents and news, sentiment analysis, large language models (LLMs), financial forecasting, risk assessment, and AI-driven investment strategies. The course also examines the opportunities and limitations of AI and ML in financial applications, including issues of reliability, interpretability, and decision-making under uncertainty.


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Syllabi: none

  •   Seven Week - First. 

  • 1.5 Credits GradeNoAud

  • 17628 NBAY 5060   LEC 001

  •  
    • R
    • Jan 25 - Mar 16, 2027

    • Farboodi, M

  • Instruction Mode: In Person

    Add/Drop dates: 9:00am, January 19, 2027 - 11:59pm, February 1, 2027. Students are required to obtain faculty permission to add/drop after February 1, 2027. If you drop after February 22, 2027, you will also receive a “W” on your transcript.