Operations Research and Industrial Engineering
Operations research is a mathematical science concerned with optimal decision making and the modeling of deterministic and probabilistic systems. Its focus and field of application are interdisciplinary, embracing a broad range of quantitative techniques. Industrial engineering is concerned with the design, improvement, and installation of integrated systems of personnel, material, and equipment. Together, operations research and industrial engineering provide a rational approach to engineering and managerial problem solving through the deliberate application of scientific methods.
In practice, operations research and industrial engineering address both the performance objectives and the resource constraints of an organization, working toward the establishment of policies that are most beneficial to the organization as a whole. The function of the operations research analyst or the industrial engineer is to guide decision making by identifying underlying cause-and-effect relationships, developing and proposing courses of action, establishing criteria by which to judge their effectiveness, and evaluating their probable effects. The program in operations research and industrial engineering is designed to allow students to develop the technical, analytic, and managerial skills necessary to perform these tasks successfully.
The principal goals of the program are to provide the student with the educational basis for continued learning and to impart the fundamental skills necessary to be a successful analyst. Students are expected to develop proficiency in one or more programming languages, expertise in mathematical modeling, and an understanding of the uses and limitations of commercial optimization and statistical software. The master's degree program balances theory and applications. At the doctoral level, the program's emphasis on research is intended to enable students to extend their field of knowledge and to develop the analytic techniques that will serve them in academic, industrial, or governmental careers.
The program in operations research and industrial engineering is designed to educate engineers who will solve complex industrial-socioeconomic problems by applying fundamental principles from engineering, mathematics, economics, computer science, and systems theory. In support of this end, a wide variety of research and study areas are offered by a faculty whose expertise covers such fields as optimization, simulation, statistics, stochastic processes, and manufacturing systems. The program is rigorous but sufficiently flexible to accommodate the needs and interests of most students.
Once a student chooses a study area, he or she works closely with one or more faculty members pursuing research in that area. Because of the interdisciplinary nature of the program, many projects involve teamwork and collaboration with departments in the College of Engineering and the McCombs School of Business. Each student's program includes a balanced combination of coursework, seminars, computational analysis, and research. State-of-the-art computer facilities, specialized laboratories, and the latest versions of applications software are available to all graduate students.
The following faculty members served on the Graduate Studies Committee in the spring semester 2000-2001.
The Admission Committee uses the following policies in considering applicants for admission. Each application is reviewed on its merits.
To enter the MSE program, a student should have an undergraduate degree in engineering or an equivalent quantitative field such as mathematics, economics, or one of the physical sciences. The graduate adviser may require those with degrees in other fields to take additional courses. In general, an adequate background includes coursework in probability, statistics, computer programming, linear algebra, calculus, engineering economics, and optimization. These courses may be taken after enrollment, but they usually will not be counted toward fulfillment of degree requirements.
The operations research component of the program emphasizes the application of mathematics to a variety of economic and operational problems. Students take advanced coursework in optimization, probability and statistics, and stochastic processes. Those interested primarily in industrial engineering may concentrate on forecasting, project management, production planning and control, scheduling, or reliability. Each student must complete either thirty semester hours of coursework, including a thesis; thirty-three semester hours of coursework, including a report; or thirty-six hours of coursework. (Students must have the approval of the graduate adviser to follow the thirty-six-hour option.) More coursework may be required, depending on the student's background and goals. All options require at least two courses in a minor area, which usually comprises work in mathematics, business, computer science, or other branches of engineering.
The chief components of this program are scholastic excellence and original research. Although there is no specific number of semester hours required for the doctoral program, the student must meet the requirements of the Graduate Studies Committee. He or she usually completes twenty-four to thirty-six semester hours of graduate coursework beyond the master's degree. Formal admission to candidacy is considered by the Graduate Studies Committee after a thorough review of the student's overall academic record and performance on the doctoral qualifying examination.
Campus address: Engineering Teaching Center (ETC) 5.128, phone (512) 471-1336, fax (512) 471-8727; campus mail code: C2200
Mailing address: Operations Research and Industrial Engineering Program, ETC 5.128, The University of Texas at Austin, Austin, Texas 78712-7013
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26 July 2001. Registrar's Web Team
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