BMGT332

Quantitative Models for Management Decisions

Prerequisite: BMGT231 or BMGT230; or students who have taken courses with comparable content may contact the department. The aim of this course is to introduce management science techniques for informed decision-making that can be applied in spreadsheet models to assist in the decision-analysis process. Models include Linear Programming, Transportation and Assignment problems, network flow models, Integer and non-linear programming, Simulation and Decision Trees. Restricted to BMGT majors and Business Analytics minors with 53 credit hours completed.

Spring 2026

Sujin Kim

1 review
Average rating: 2.00

Maria Bardossy

9 reviews
Average rating: 3.11

Fall 2025

Kazim Ruhi

23 reviews
Average rating: 3.17

Sujin Kim

1 review
Average rating: 2.00

Raghu Raghavan

3 reviews
Average rating: 5.00

Maria Bardossy

9 reviews
Average rating: 3.11

Spring 2025

Kazim Ruhi

23 reviews
Average rating: 3.17

Maria Bardossy

9 reviews
Average rating: 3.11

0 reviews
Average rating: N/A

Stuart Price

0 reviews
Average rating: N/A

Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 2.89 between 2,849 students*

A-: 16.36%

A: 16.46%

A+: 4.98%

B-: 11.06%

B: 15.94%

B+: 9.3%

C-: 3.51%

C: 6.88%

C+: 5.62%

D-: 0.39%

D: 0.42%

D+: 0.35%

F: 1.33%

W: 7.23%

other: 0.18%

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.