Prescriptive Analytics for Business
OIM
This course is integrative and will focus on prescriptive analytics making use of optimization models, linear optimization models, and integer linear optimization models. The modeling constructs that you will learn will equip you to address business process optimization scenarios that arise in business process planning and operations in areas such as manufacturing, production, logistics, supply chain management, marketing, or finance. Scenarios studied apply analytics to simulated and real-world industry data in manufacturing and logistics as well as selected HBS cases.
Course Details
Fall 2026
This class is non-credit
Course Notes
This class is open to BBA-OIM majors only.
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.