MSBA 540 - Machine Learning for Business Applications

Class Number: 1652

Description: Hours: Three hours lecture per week Description: Machine Learning for Business Applications is a fundamental course designed to equip students with the knowledge and skills needed to apply machine learning techniques to solve real-world business problems. This course focuses on essential topics such as linear regression, logistics regression, k-nearest neighbors, unsupervised learning (Principal Components and Clustering Methods), model and variable selection, and nonlinear prediction methods. Students will gain hands-on experience in implementing machine learning algorithms and interpreting their results within the context of business analytics.

Status: Open

Session: Regular Academic Session

Units: 3.00

Class Components: Lecture

Career: Postbaccalaureate

Start Date: 01/24/2026

End Date: 05/22/2026

Grading: Letter Grade

Enrollment Total: 18

Available Seats: 7

Wait List Capacity: 15

Wait List Total: 0