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Best online master's programs in Operations Research - Updated 2022

7 accredited Universities offer online Master's program in Operations Research. The tuiton for online Master's can range from $21,032 to $49,024. Find admission requirements, credits required for completion and compare the online master's program between these universities.

Engineering is projected to grow 4 percent from 2016 to 2026, slower than average for all occupations. Median pay for Engineering in 2018 was $149,530. The number of jobs were 195900.

Ranked as: #4 in Best National University
Tuition: $6,816
State: NY
Acceptance: -
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.
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Ranked as: #35 in Best National University
Tuition: -
State: GA
Acceptance: -
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.
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Ranked as: #40 in Best National University
Tuition: -
State: PA
Acceptance: -
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.
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Ranked as: #62 in Best National University
Tuition: -
State: IN
Acceptance: -
An introduction to techniques for modeling random processes used in operations research. Markov chains, continuous time Markov processes, Markovian queues, reliability, Martingales, and Brownian motion. An introduction to techniques for modeling random processes used in operations research Markov chains, continuous time Markov processes, Markovian queues, Martingales, Optimal Stopping Optional Stopping Theorem, Brownian Motion, Option Pricing. Optional Project: Each student has a flexibility to do a research project.
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Ranked as: #95 in Best National University
Tuition: -
State: NC
Acceptance: -
Operations Research (OR) is a discipline that involves the development and application of advanced analytical methods to aid complex decisions. This course will provide students with the skills to be able to apply a variety of analytical methods to a diverse set of applications. Focus will be on translate real-world problems into appropriate models and then computational procedures and data so that the models can be used as aids in making decisions. Course will introduce students to the use of Julia along with the JuMP modeling language and the Gurobi mathematical programming solver.

ISE 501 Introduction to Operations Research

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Ranked as: #127 in Best National University
Tuition: -
State: AR
Acceptance: -
Gain the core operations analytics and quantitative modeling skills to better manage, control and improve the operations of enterprise or public-sector organizations. This master program provides students with the professional and intellectual growth needed to become managers and leaders in operations analytics. Program graduates will be prepared for occupations as.
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Tuition: -
State: CA
Acceptance: -
Masters in Human Systems Integration (Distributed Learning) (359). The Human Systems Integration (HSI) is a 24-month, distance learning interdisciplinary program that emphasizes human considerations as a priority in systems design and acquisition, to reduce life cycle costs, and improve total system performance. HSI has been divided into several distinct domains that include human factors engineering, manpower, personnel, training, human survivability, health hazards, system safety, and habitability. Masters in Cost Estimating and Analysis (Distributed Learning) (Curriculum 379).
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