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A high priority for many organizations today is the transformation of an enormous amount of available data into usable information. Consequently, many companies are looking for individuals who are well-versed in modeling, statistical analysis, and computer information systems as the job market for people who have the ability to deal effectively with information is expanding at a tremendous pace. The Master of Science in Quantitative Methods and Modeling 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 a student's professional and/or educational objectives. Students also have the option of doing a graduate internship. The MS program conforms with the DHS - STEM program so that international students who graduate from the MS/QMM program may be eligible for an additional 24-month extension on their optional practical training (OPT).
MS in Quantitative Methods and Modeling Program Learning Goals
Operations Research & Mathematical Modeling | Students will be able to effectively model, evaluate, and solve quantitative (business) problems using quantitative modeling methods (e.g. deterministic and probabilistic operations research techniques). |
Statistics | Students will be able to correctly apply appropriate statistical methods when defining, solving, and analyzing problems. |
Technology Competency | Students will be able to use current technological tools, including spreadsheets and specialized software, when solving problems. |
Professional Communication | Students will be able to effectively communicate their problem solving methods and solutions to technical and non-technical audiences. |
MS in Quantitative Methods and Modeling Curriculum
Preliminary Courses (7 credits) Students with appropriate academic background will be able to reduce the number of credits in preliminary requirements. | ||||
| Calculus I* | 4 credits | ||
| Applied Statistical Analysis for Business Decisions | 3 credits | ||
**MTH 2610 is an undergraduate course. Entering students are strongly encouraged to complete a minimum of three credits of calculus before starting the MS program in order to waive this math requirement. | ||||
Courses in Specialization (31.5 credits) | ||||
| Required (16.5 credits) | ||||
| Business Communication I** | 1.5 credits | ||
| Principles of Database Management Systems | 3 credits | ||
| Introduction to Quantitative Modeling | 3 credits | ||
| Simulation Modeling and Analysis | 3 credits | ||
| Basic Software Tools for Data Analysis (cross-listed with STA 9750)
| 3 credits | ||
| Applied Regression Analysis | 3 credits | ||
Electives (15 credits) Students can select any OPR, STA, CIS, or MTH course totaling 15 credits. With approval of the department advisor, students may select quantitatively-oriented courses in other areas. Students may select appropriate Graduate Internship courses BUS 9801 - BUS 9803.
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