Operations Research, MSOR

This program seeks to train students in the basic techniques and theory of operations research and their applications to real-world problems. Graduates should have developed their analytical skills to attack complex, large-scale optimization problems of both a deterministic and stochastic nature. Eight 4-semester-hour graduate courses are required for this degree. Previous course work will be evaluated to determine proficiency in certain content areas and degree plan may be tailored accordingly. In some cases, a student may be required to take an assessment exam to determine content and knowledge proficiency. No course can be used to satisfy both a requirement and an elective. To qualify for degree conferral, a minimum cumulative grade-point average of 3.000, equivalent to a grade of B, must be obtained. Some courses listed for this program are offered in the College of Engineering or the Khoury College of Computer Sciences.

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• Concentrations and course offerings may vary by campus and/or by program modality.  Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality. 
• Certain options within the program may be required at certain campuses or for certain program modalities.  Please consult with your advisor or admissions coach for requirements at your campus or for your program modality. 

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Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

Course List

Code	Title	Hours
Probability
Complete 4 semester hours from the following:		4
MATH 7241	Probability 1
MATH 7341	Probability 2
OR 7230	Probabilistic Operation Research
Statistics
MATH 7342	Mathematical Statistics	4
or MATH 7343	Applied Statistics
Operations Research
OR 6205	Deterministic Operations Research	4
Optimization and Complexity
MATH 7234	Optimization and Complexity	4

Electives

Course List

Code	Title	Hours
Complete 16 semester hours from the following:		16
CS 5800	Algorithms
CS 6140	Machine Learning
CS 7805	Complexity Theory
CSYE 6200	Concepts of Object-Oriented Design
CSYE 6205	Concepts of Object-Oriented Design with C++
EMGT 5220	Engineering Project Management
EMGT 6225	Economic Decision Making
EMGT 6305	Financial Management for Engineers
GE 5010	Customer-Driven Technical Innovation for Engineers
GE 5100	Product Development for Engineers
IE 5400	Healthcare Systems Modeling and Analysis
IE 5500	Systems Engineering in Public Programs
IE 5617	Lean Concepts and Applications
IE 5630	Biosensor and Human Behavior Measurement
IE 6300	Manufacturing Methods and Processes
IE 7200	Supply Chain Engineering
IE 7215	Simulation Analysis
IE 7275	Data Mining in Engineering
IE 7280	Statistical Methods in Engineering
IE 7285	Statistical Quality Control
IE 7290	Reliability Analysis and Risk Assessment
IE 7315	Human Factors Engineering
MATH 7203	Numerical Analysis 1
MATH 7205	Numerical Analysis 2
MATH 7223	Riemannian Optimization
MATH 7233	Graph Theory
MATH 7243	Machine Learning and Statistical Learning Theory 1
MATH 7339	Machine Learning and Statistical Learning Theory 2
MATH 7344	Regression, ANOVA, and Design
OR 7240	Integer and Nonlinear Optimization
OR 7310	Logistics, Warehousing, and Scheduling

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required