Machine Learning & AI for Business

Course Description

This course is designed to enable business students to understand foundational machine learning (ML) and artificial intelligence (AI) techniques and their transformative role in modern business environments. Students will explore how data-driven methods can provide actionable advice and improve decision-making processes across different industries. The course emphasizes practical applications of AI and ML models to solve real-world business problems. It introduces key concepts such as data preprocessing, classification, neural networks, and advanced architectures like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), attention mechanisms, and transformers, while focusing on their relevance and impact in business and management. Basic Python programming skills are required for implementing these models and completing the hands-on components of the course. 3 credits Prerequisite: Enrolled in the MS in Business Analytics and Intelligence and BAI 540 Grading Letter graded (A, A-, B+, etc.) Note: Formerly offered as BDA 508

Code

BAI 545

Credits

3

Subject

BAI

Programs That Include This Course

• Master's Master of Business Administration
• Master's Master of Science in Business Analytics and Intelligence
• Master's Master of Science in Decision Analytics