Master of Science with a Major in Operations Research


Master of Science with a Major in Operations Research (MSOR)

Operations research (O.R.) is the discipline of applying advanced analytical methods to help make better decisions. By using techniques such as mathematical modeling to analyze complex situations, operations research gives managers the power to make more effective decisions and build more productive systems based on:

  • More complete data
  • Consideration of all available options
  • Careful predictions of outcomes and estimates of risk
  • The latest decision tools and techniques

O.R. professionals draw upon the latest analytical technologies, including:

  • Simulation: Giving you the ability to try out approaches and test ideas for improvement
  • Optimization: Narrowing your choices to the very best when there are virtually innumerable feasible options and comparing them is difficult
  • Probability and Statistics: Helping you measure risk, mine data to find valuable connections and insights, test conclusions, and make reliable forecasts

The SMU MSOR program prepares graduates for rewarding careers in business and government: management consulting, logistics, telecommunications, defense, manufacturing, and the service iindustries. Its world-class faculty teach the latest in analytical decision-making

The online publication Analytics, provides case studies of Management Science in action. Click here to view a sample copy and apply for a free subscription.

Degree Requirements

For admission to the Master of Science, Major in Operations Research, a candidate must have:

  • An undergraduate degree in engineering, mathematics, computer science, economics, or a related technical field;
  • Previous coursework that includes satisfactory completion of at least six credit hours of calculus, three hours of linear algebra, and three hours of computer programming in a high-level language  (normally, a Bachelor of Business Administration does not provide sufficient background); and
  • A grade-point average of at least 3.00 on a 4.00 scale in previous undergraduate and graduate study

Degree Requirements

The degree can be obtained by successfully completing thirty (30) term credit hours (TCH) of graduate courses with a minimum G.P.A. of 3.00 on a 4.00 scale.

Probability and Statistics
One (1) of the following:

  1. EMIS 7370 Probability and Statistics for Scientists and Engineers
  2. EMIS 7377 Statistical Design and Analysis of Experiments

Core Courses

  1. EMIS 7362 Production Systems Engineering
  2. EMIS 8360 Operations Research Models
  3. EMIS 8371 Linear Programming

Depth Courses
Three (3) of the following:

  1. EMIS 7361 Computer Simulation Techniques
  2. EMIS 8361 engineering Economics and Decision Analysis
  3. EMIS 8372 Queueing Theory
  4. EMIS 8373 Integer Programming
  5. EMIS 8374 Network Flows
  6. EMIS 8378 Optimization Models for Decision Support
  7. EMIS 8380 Mathematics of Optimization
  8. EMIS 8381 Nonlinear Programming

Concentration Area
The degree requires nine TCH from a second area.  All courses must be from the same area and are subject to advisor approval.  Acceptable areas include systems engineering, engineering management, information engineering, computer science, mathematics, statistics, business, economics, and telecommunications. 

Sample Concentration Areas and Courses

Systems Engineering

Engineering Management

Information Engineering