Management Science is a discipline that integrates mathematical modeling and quantitative analysis into the managerial decision-making process. The goal of the course is to provide students with a background in mathematical modeling to augment their problem-solving skills. Prerequisites: MATH 150 or MATH 170; MATH 250 or PSYC 324.
Prerequisite(s) / Corequisite(s):
MATH 150 or MATH 170; MATH 250 or PSYC 324.
Course Rotation for Day Program:
Offered Fall and Spring.
Most current editions of the following:
An Introduction to Management Science
By Anderson, Sweeney, Williams, et. al. (Cengage Learning) Recommended
Course Learning Outcomes
Demonstrate an understanding of the theory and math behind several data-driven quantitative approaches currently in use by real-world managers to make better and/or timelier decisions and predictions.
Create valid data-driven predictive business models.
Implement these models using current analytical tools such as Excel and Analytic Solver Platform.
Evaluate the performance and usefulness of these models in business management terms.
Major Topics/Skills to be Covered:
Introduction to modeling and management science
Optimization and linear programming using Excel and Analytic Solver Platform
Linear programming applications
Integer linear programming
Distribution and network models
Time Series Analysis and forecasting
Waiting line models
Project scheduling: PERT/CPM
Recommended maximum class size for this course: 20
NOTE: The intention of this master course syllabus is to provide an outline of the contents of this course, as specified by
the faculty of Columbia College, regardless of who teaches the course, when it is taught, or where it is taught. Faculty members teaching this
course for Columbia College are expected to facilitate learning pursuant to the course learning outcomes and cover the subjects listed in the Major Topics/Skills to be Covered section.
However, instructors are also encouraged to cover additional topics of interest so long as those topics are relevant to the course's
subject. The master syllabus is, therefore, prescriptive in nature but also allows for a diversity of individual approaches to course material.