2 courses with the subject AQM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

AQM 1000Foundations of Business4

Subject: AQM
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2026-2027
Source: catalogs.babson.edu

AQM 2000Predictive Business Analytics4

4 Foundation Liberal Arts Credits This course is only open to students who started Fall 2021 or after This course introduces students to the foundational ideas of modern data science through a hands-on implementation in modern statistical software. Students will encounter key conceptual ideas like the importance of holdout data, the dangers of overfitting, and the most common performance indicators for various model types through a tour of popular and practical predictive analytics algorithms: linear regression, k-nearest neighbors, logistic regression, classification and regression trees, naive Bayes’, and others. In addition to these supervised learning models, students will investigate unsupervised learning models like association rules and clustering, which are designed to uncover structure in data rather than predict a particular target. Throughout the course, students will practice communicating the results of their analyses to a variety of stakeholders. Credits 4

Subject: AQM
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2026-2027
Source: catalogs.babson.edu
Prerequisite: AQM1000

Source: Babson College's catalog, linked per course · table learning_unit · CourseShelf publish 61