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Master of Operations Research

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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 NumberCourse Name
Required Operations Research Seminar Course
OR 601Seminar in Operations Research
Core Course in Deterministic Models 53
Select one of the following courses:
OR/ISE 501Introduction to Operations Research
OR 504Introduction to Mathematical Programming
OR/MA/ISE 505Linear Programming
OR 506Algorithmic Methods in Nonlinear Programming
OR/MA 531Dynamic Systems and Multivariable Control I
OR/MA 706Nonlinear Programming
OR 708Integer Programming
OR/ISE 709Dynamic Programming 1
OR 719Vector Space Methods in System Optimization
OR/MA 731Dynamic Systems and Multivariable Control II
OR/MA/ISE 766Network Flows
Core Course in Stochastic Models3
Select one of the following courses:
OR/ISE 560Stochastic Models in Industrial Engineering
OR/ISE 562Simulation Modeling
OR/ISE 709Dynamic Programming 1
OR/ISE 760Applied Stochastic Models in Industrial Engineering
OR 761Queues and Stochastic Service Systems
OR/ISE 762Stochastic Simulation
OR/ISE 772Simulation Optimization
MA/ST 546Probability and Stochastic Processes I
MA/ST 747Probability and Stochastic Processes II
Core Course in Data Science and AI 4,53
Select one of the following courses:
OR/CSC/ECE 579Introduction to Computer Performance Modeling
OR/CE 537Computer Methods and Applications
CSC 505Design and Analysis Of Algorithms
ISE 537Statistical Models for Systems Analytics in Industrial Engineering
ISE 535Python Programming for Industrial & Systems Engineers
ISE 538Practical Machine Learning for Engineering Analytics
ISE 519Database Applications in Industrial and Systems Engineering
ST 516Experimental Statistics For Engineers II
ST 554Analysis of Big Data
ST 558Data Science for Statisticians
MA 540Uncertainty Quantification for Physical and Biological Models
Thesis Research3-6
OR 695Master’s Thesis Research
or OR 693Master’s Supervised Research
Elective Courses 2,315-18
“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 Hours31
  • 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