北卡羅拉娜州立大學(xué)

Operations Research (OR) analysts are problem-solvers who use advanced techniques like optimization, data analytics, and statistical and mathematical analysis to develop solutions that help businesses and organizations in fields as varied as healthcare, transportation and global logistics, security and military science, and financial management, as well as most engineering disciplines.

What is Operations Research?

Operations Research (OR) is the use of scientific methodology to study systems whose design or operation require human decision making. OR provides the means for making the most effective decisions about systems design and operation. The strength and versatility of OR stems from its diagnostic power through observation and modeling, as well as from its prescriptive power through analysis and synthesis.

Preparing for a Career in Military Operations Research?

Learn more about Military Operations Research at NC State

The Military Operations Research Group at NC State includes US active duty and military veterans from all Services and our allies.
Students work on a variety of real-world problems. See our recent projects.
Develop skills in concentrations such as Logistics, Data Science, and Health Care Improvement.
We understand active duty student timelines and develop individual advising plan to support student success.

The Master of Operations Research (MOR) is designed to prepare students for careers as OR practitioners in either the private or the public sector. The MOR degree requires completion of 31 credit hours in OR and OR-related courses.

Degree Requirements

The MOR Degree requires a minimum of 31 credit hours. To earn the Master’s of Operations Research, the student must:

Successfully complete five Core courses (subject to Restrictions 1 and 2 below) from the following list:

OR 501: Introduction to Operations Research
OR 504: Introduction to Mathematical Programming
OR 505: Linear Programming
CSC 505: Design and Analysis of Algorithms
OR 506: Algorithmic Methods In Nonlinear Programming
ST 516: Experimental Statistics For Engineers II, or ST 512: Experimental Statistics For Biological Sciences II
OR 531: Dynamic Systems and Multivariable Control I
OR 537: Computer Methods and Applications
MA/ST 546: Probability and Stochastic Processes I
OR 560: Stochastic Models in Industrial Engineering
OR 562: Simulation Modeling
OR 706: Nonlinear programming
OR 708: Integer Programming
OR 709: Dynamic Programming
MA/ST 747: Probability and Stochastic Processes II
OR 760: Applied Stochastic Models in Industrial Engineering
OR 761: Queues and Stochastic Service Systems
OR 762: Computer Simulation Techniques
OR 772: Stochastic Simulation Design and Analysis
Restriction 1: At least one of 505, 506, 709 MUST be chosen.
Restriction 2: 504 and 505 cannot BOTH be used to satisfy this five course requirement.