Best Graduate Programs in Operations Research - Updated 2022

FoundationsThe Operations Research and Financial Engineering program places a strong emphasis on mathematical and computational tools. ApplicationsThe theoretical foundations of ORFE are of central importance in many complex problems in engineering and science. ImpactGraduates of the Ph.D. program work in academia, research organizations, and industry.

Operations Research is an applied science and is concerned with quantitative decision problems, generally involving the allocation and control of limited resources. Such problems arise, for example, in the operations of industrial firms, financial institutions, health care organizations, transportation systems, energy and resources, and government. The operations research analyst develops and uses mathematical and statistical models to help solve these decision problems.

The Operations Research Center (ORC) at MIT is the recognized leader in operations research and analytics worldwide. As such, we seek applicants who aspire to make significant contributions to our global society in such areas as health care, finance, education, and transportation. We receive hundreds of applications each year from the best and brightest students from across the U.S. and around the world. Applying to the PhD and SM in Operations Research programs.

Cornell Tech’s Masters in Operations Research and Information Engineering (ORIE) will provide you with the mathematical modeling, large-scale computation and data analytics skills you need to turn heaps of data into effective business decisions. Operations Research and Information Engineering at Cornell Tech. The Master of Engineering in Operations Research and Information Engineering Degree.

The Master of Science in Operations Research Engineering is conferred upon candidates who hold bachelor's degrees in engineering, mathematics, science or related fields who successfully complete an integrated program (with departmental approval in advance) of not less than 30 units. The program must include not less than 21 units of industrial and systems engineering courses related to operations research and 9 units of approved electives. Students will be required to make up deficiencies in mathematics and statistics. Additional courses or examinations may be required at the discretion of the department before full admission to the program.

The Tepper School doctoral program in operations research (OR) is designed to encourage students to make contributions toward basic scientific knowledge in the area. Careful attention is also paid to obtaining knowledge of the substantive areas to which operations research can be applied, such as production, finance, marketing or economics. The basic operations research courses offered include: linear, n ar, integer and dynamic programming network and graph theory optimal control convex analysis and stochastic models.

Making sense out of numerical and text-based information, operations research analysts employ data mining, statistical analysis, and mathematical modeling to shape business efforts or identify a solution to an ongoing problem.

The Master of Science in Operations Research (MSOR) degree program focuses on the theory and practice of operations research through a program of rigorous graduate-level coursework. Coursework focuses on deterministic and stochastic operations research with electives in statistics and data analytics, and students in the program can choose between introductory and advanced Ph.D. level courses depending on background and interest.

Operations research (OR) or management science, is the discipline of applying advanced quantitative methods to make better decisions. Techniques covered include linear programming, queuing models and simulation. The second part of the course focuses on how OR tools are used in managing various aspects of Chain. Topics covered include demand forecasting, design of distribution systems, capacity planning, and inventory management.

Lehigh University is world-renowned for research on mathematical optimization , which involves the development of mathematical and computational tools that facilitate discovery, design, and decision-making throughout science, engineering, and business.