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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

Coopersmith Career Consulting | Evaluated Learning Experience

Quantitative Analysis (MAT-303)


Varies (self-study; self-paced). 

Various; distance learning format.

April 2019 - Present. 

Instructional delivery format: 
Online/distance learning
Learner Outcomes: 

Upon completion of this course, students will be able to: describe the use of modeling in quantitative analysis; develop useful and accurate decision trees; formulate and interpret characteristics of linear regression models; compute the economic order quantity (EOQ) and reorder point (ROP) for inventory problems; solve and interpret linear programming models both graphically and algebraically; model and solve maximal-flow, shortest-route, and minimal-spanning tree problems; describe the basic queuing system configurations and all three parts of a queuing system; and analyze simulation models as applied to inventory control and queuing theory.


This course provides students with a working knowledge of the most important basic concepts of quantitative analysis in business and management by teaching various modeling techniques for problems related to business and management. Topics include: decision trees, linear and multivariate regression, inventory methods, linear programming techniques, transportation and network problems, queuing theory, and simulation. Instructional methods include: study guide, required readings, and a final exam.

Credit recommendation: 

In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Economics, Finance, or Mathematics (4/19) (3/24 revalidation).