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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

Consortium for International Studies | Evaluated Learning Experience

Quantitative Analysis BUS 301


Varies; self-study.

Various; distance learning format.

July 2022 - Present. 

Instructional delivery format: 
Hybrid course/exam
Learner Outcomes: 

Upon successful completion of the course, students will be able to: describe how quantitative analysis aids the decision-making process; differentiate between modeling methods and techniques used to improve diverse business decisions; apply the importance of risk and how to address uncertainty in different business contexts; explain the different phases of problem formulation; compare the strengths and weaknesses of different quantitative methods and models; illustrate the difference between linear programming and integer linear programming; discuss the business case for effective project management, inventory management, and queuing systems; identify how probability theory is employed in decision-making; develop solutions for management problems including linear programming,


This course examines a variety of quantitative analysis methods that help business managers make better decisions. Students will learn topics including decision analysis, simulation modeling, linear programming, and inventory management. The course is arranged on a 15-week schedule and includes research assignments along with a final exam.

Credit recommendation: 

In the upper division baccalaureate degree category, 3 semester hours in Quantitative Analysis, Operations Research, Decision Science, Management, or Business Administration (7/22).