Undergraduate and Graduate Bulletins

MS in Quantitative Methods and Modeling

The quantitative methods and modeling program is designed to train students in the application of mathematical models and decision making in business, industry, and government. This is also the aim of the MBA program in decision sciences, which is also offered by the Department of Statistics and Computer Information Systems. Both programs provide students with the concepts and skills that form the fundamental base of knowledge essential to quantitative-decision-making professionals in todays business environment. The MS program in quantitative methods and modeling is intended for individuals who wish to be employed as quantitative analysts or for those students who may wish to subsequently pursue a PhD in operations research or a related field. This program is designed to provide a broad spectrum of basic quantitative skills; thus, the required specialization courses span the areas of operations research, statistics, and computer information systems. The flexible elective requirements permit the creation of a four-course quantitative sequence tailored to the students professional and/or educational objectives. Although this MS program has a business orientation, it does not include the many general business courses found in the MBA in Decision Sciences Program.

 

Preliminary Courses                 (9.5 - 10.5 credits) Students with an appropriate background will be able to reduce the number of credits in preliminary requirements. Grades in 8000-level courses are not calculated in the grade point average.
ENG 8192	Written English for International Students	1.5 credits
MTH 8001	Calculus for Applications I*	3 credits
ACC 9110	Financial Accounting	3 credits
or
ECO 9708	Microeconomics for Managers	2 credits
STA 9708	Applied Statistical Analysis for Business Decisions	3 credits
Courses in Specialization             (18 credits) Required
CIS 9000	Information Systems for Managers	3 credits
CIS 9340	Principles of Database Management Systems	3 credits
OPR 9721	Introduction to Quantitative Modeling	3 credits
OPR 9730	Simulation Modeling and Analysis	3 credits
STA 9000	Regression and Forecasting Models for Business Applications	3 credits
STA 9750	Basic Software Tools for Data Analysis (OPR 9750)	3 credits
Electives             (12 credits) Four courses to be selected with approval of the faculty advisor. It is recommended that students select at least one course in each of the three areas: CIS, OPR, STA. A maximum of three courses may be selected from any one area. Students may select BUS 9800 or an approved quantitatively oriented course offered outside the department.

*Students may substitute MTH 2207 Applied Calculus and Matrix Applications on a space-available basis.

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