MBA in Decision Sciences
The decision sciences and quantitative methods and modeling majors are designed to train students in the application of mathematical models and decision making in business, industry, and government. An MBA program in decision sciences and an MS program in Quantitative Methods and Modeling are offered. Both provide students with the concepts and skills that form the fundamental base of knowledge essential to quantitative-decision-making professionals in today’s business environment.
The MBA program in decision
sciences is designed primarily for those who employ operations
research
methods in an applied discipline or who are responsible
for managing or interfacing with an operations research department.
The MS program in quantitative methods and
modeling
is designed to provide a broad
spectrum of basic quantitative skills. The MBA and MS programs
are given within the Department of Statistics and
Computer Information Systems.
QuickStart
and Preliminary Courses
Core
and Breadth Courses (33
credits)
Major Courses (12
credits)
| Required | ||
| OPR 9721 | Introduction to Quantitative Modeling | 3 credits |
| OPR 9750 | Basic Software Tools for Data Analysis (STA 9750) | 3 credits |
|
Choose two of the following:* |
||
| OPR 9724 | Mathematical Programming | 3 credits |
| OPR 9730 | Simulation Modeling and Analysis | 3 credits |
| OPR 9773 | Special Topics in Operations Research | 3 credits |
| OPR 9783 | Stochastic Processes for Business Applications (STA 9783) | 3 credits |
| STA 9715 | Applied Probability | 3 credits |
International
Elective (3
credits)
Choose one international elective.
General
Electives (9
credits)
Choose three general electives.
Students may apply their 9 general elective credits toward additional courses in their major, courses from other functional areas that complement their major, or a second four-course major.
*Students may also select one quantitative course not on the above list with approval of the advisor.
The
program information above is from the Graduate Bulletin 2005
- 2008
View the
entire Bulletin or previous Bulletins
