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Quantitative Methods and Modeling

Overview

Official Name of Program

Quantitative Methods and Modeling

Plan Code

OPRR-MS

Department(s) Sponsoring Program

Career

Graduate

Degree Designation

MS - Master of Science

HEGIS Code

0507.00

NYSED Program Code

79230 - OPRR-MS

CIP Code

14.3701

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.


Requirements