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Quantitative Methods and Modeling
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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. |