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BSAN 6350 Unstructured Data Analytics 1.5 Credit

This course focuses on using AI tools, including LLMs and NLP, to transform unstructured text into actionable data for business analysis. Students learn how to classify text, extract structured information and engineer features from sources such as customer feedback, emails and documents. Emphasis is placed on framing business problems, evaluating AI-generated output and integrating insights into decision-making workflows. The course prioritizes practical application and prepares students to work effectively with unstructured data.

College/Department: Bennett S. LeBow Coll. of Bus./Decision Sciences
Repeat Status: Not repeatable for credit
Prerequisites: BSAN 6200 [Min Grade: C]