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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

Length: 

Varies; self-study.

Location: 
Various; distance learning format.
Dates: 

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; and develop solutions for management problems including linear programming,

Instruction: 

This course examines a variety of quantitative analysis methods that help business managers make better decisions. Topics include 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).

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