Master of Operations Research

Program Overview
The Master of Operations Research (MOR) prepares you for a career as an OR practitioner in the private or public sector. Specifically, the MOR degree requires completing 31 credit hours in OR and related courses. Consequently, this degree equips you with the skills needed for success in various industries. Additionally, it offers you the flexibility to study from anywhere. Ultimately, our program ensures you are ready for the challenges in both the private and public sectors. According to the U.S. Bureau of Labor Statistics, employment of operations research analysts is projected to increase by 23% from 2022 to 2032, surpassing the average growth rate for all occupations.
Admission Requirements
You can apply for master’s degree programs if you majored in mathematics, economics, statistics, or engineering.
Although there is no minimum GRE requirement, consider these average scores for a recent class of twenty students: Verbal 491, Quantitative 735, Analytical 4.0.
English Proficiency: In addition to the above, international students must submit the following with their application to the graduate school:
- You must submit official GRE scores. However, sending GRE scores is optional but encouraged if you have completed, or will complete, a degree from a US institution in a related field.
- Submit a TOEFL certification that is less than two years old.
- You must also include a certificate of financial responsibility.
For more information, visit the university’s International Scholars and International Students pages.
Degree Requirements
| Course Number | Course Name | |
|---|---|---|
| Required Operations Research Seminar Course | ||
| OR 601 | Seminar in Operations Research | |
| Core Course in Deterministic Models 5 | 3 | |
| Select one of the following courses: | ||
| OR/ISE 501 | Introduction to Operations Research | |
| OR 504 | Introduction to Mathematical Programming | |
| OR/MA/ISE 505 | Linear Programming | |
| OR 506 | Algorithmic Methods in Nonlinear Programming | |
| OR/MA 531 | Dynamic Systems and Multivariable Control I | |
| OR/MA 706 | Nonlinear Programming | |
| OR 708 | Integer Programming | |
| OR/ISE 709 | Dynamic Programming 1 | |
| OR 719 | Vector Space Methods in System Optimization | |
| OR/MA 731 | Dynamic Systems and Multivariable Control II | |
| OR/MA/ISE 766 | Network Flows | |
| Core Course in Stochastic Models | 3 | |
| Select one of the following courses: | ||
| OR/ISE 560 | Stochastic Models in Industrial Engineering | |
| OR/ISE 562 | Simulation Modeling | |
| OR/ISE 709 | Dynamic Programming 1 | |
| OR/ISE 760 | Applied Stochastic Models in Industrial Engineering | |
| OR 761 | Queues and Stochastic Service Systems | |
| OR/ISE 762 | Stochastic Simulation | |
| OR/ISE 772 | Simulation Optimization | |
| MA/ST 546 | Probability and Stochastic Processes I | |
| MA/ST 747 | Probability and Stochastic Processes II | |
| Core Course in Data Science and AI 4,5 | 3 | |
| Select one of the following courses: | ||
| OR/CSC/ECE 579 | Introduction to Computer Performance Modeling | |
| OR/CE 537 | Computer Methods and Applications | |
| CSC 505 | Design and Analysis Of Algorithms | |
| ISE 537 | Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 535 | Python Programming for Industrial & Systems Engineers | |
| ISE 538 | Practical Machine Learning for Engineering Analytics | |
| ISE 519 | Database Applications in Industrial and Systems Engineering | |
| ST 516 | Experimental Statistics For Engineers II | |
| ST 554 | Analysis of Big Data | |
| ST 558 | Data Science for Statisticians | |
| MA 540 | Uncertainty Quantification for Physical and Biological Models | |
| Thesis Research | 3-6 | |
| OR 695 | Master’s Thesis Research | |
| or OR 693 | Master’s Supervised Research | |
| Elective Courses 2,3 | 15-18 | |
| “Elective Courses” that will be applied to reach 31 credit hours will be determined in conjunction with the academic committee. Courses used to satisfy the required courses and core courses requirement cannot be used to satisfy the elective course requirement | ||
| Total Hours | 31 | |
- 1.OR 709 cannot be double counted for the deterministic and stochastic core courses categories.
- 2.”Elective Courses” cannot be double counted if already used to fulfill the Required Courses or Core Courses requirements.
- 3.Must have at least 12 credits of OR prefix graded courses, between core and elective course requirements.
- 4.Other graduate-level CSC, STAT or ISE courses may be substituted with approval.
- 5.Special topics courses (such as OR 591/791, ISE 589/789, MA 591/791) may be counted as appropriate core categories with DGP approval.
Course Offerings
A list of distance education courses available for each semester can be found on the Engineering Online website. Full-time employed individuals can only enroll in two online courses per semester. It is highly recommended that new students enroll in only one online course during their first semester.
Course Registration
To register for an Engineering Online course, you will need to create an Engineering Online (EOL) account and request registration in selected classes. You can complete the registration form on the Engineering Online Portal. Follow the directions and create your EOL account. Distance students cannot register through the University MyPack Portal system for Engineering Online courses.
Course Logistics
Online courses are the same as on-campus courses in terms of content, requirements and academic rigor. On-campus class lectures are captured, digitized and placed on the Internet for distance students to access at any time and from any location. Students must, however, follow the on-campus class schedule in terms of submitting homework and taking exams. Course assignments, lecture notes, and handouts are made available to distance students on the course website. All in-class exams must be proctored.
Contact Information
- For program questions, contact:
- Dr. Maria E. Mayorga,
Distinguished Chair, Operations Research Program
Telephone: 919-513-1690
Email: memayorg@ncsu.edu and operationsresearch@ncsu.edu - Department website: https://or.ncsu.edu/
- Dr. Maria E. Mayorga,
- For more information about the registration process, course offerings, and course logistics, contact:
- Dr. Linda Krute, Director of Distance Education Programs, College of Engineering
- Telephone: 919.515.5440
Email: linda_krute@ncsu.edu - Department website: https://engineeringonline.ncsu.edu