Masters in Operation Research

Master of Science
Classroom, Online, Off-site
Hampton Roads, Orlando, Picatinny, Redstone/Huntsville, Patuxent, Virtual Site, Northeast, Southern Maryland Education Center, Aberdeen
Major Code: 8359 Degree Awarded: Master of Science
Age Restriction: N Admission Status: graduate, Extended Studies
Delivery Mode/s: online, classroom, off-site Location/s: Aberdeen, Hampton Roads, Northeast, Orlando, Patuxent, Picatinny, Redstone/Huntsville, Southern Maryland HEC, Virtual Site
Admission Materials: GMAT, GRE recommended

The applicant to the Master of Science in Project Management - Operations Research degree program must have a bachelor's degree; however, the degree need not be in business administration. Students who are graduates from other fields, especially mathematics, science and engineering, are encouraged to apply. Students with an undergraduate business degree or courses may be able to waive up to 12 hours of the program prerequisites in the program based on an evaluation of their undergraduate academic transcripts. Prerequisite courses are required of a student whose undergraduate major is outside the business area or who has not previously completed the courses in these prerequisite areas. The exact number of needed prerequisite courses depends on courses completed during the student's undergraduate studies.

The GRE or GMAT may be required for admission evaluation purposes. General admission requirements and the process for applying are discussed in the Academic Overview of this catalog. Individuals who do not meet the stated requirements for regular admission may petition to take graduate courses for credit as a continuing education applicant.

The goal of the Master of Science in Project Management - Operations Research is to prepare individuals for advanced leadership positions in the private, public and military sectors with specific skills and competencies in project management and identified concentration areas.

Degree Requirements

The degree of Master of Science in Project Management - Operations Research is conferred upon students who have successfully completed 33 credit hours of graduate coursework plus other course requirements as listed on the student's approved graduate program plan. Students without adequate undergraduate background will be required to complete all or part of the program prerequisites. Students may choose elective courses from those listed below.

Students with undergraduate credits for courses that they believe are equivalent to the program prerequisites should consult with their advisor concerning waiver of those prerequisites.

Program Prerequisite

(noncredit for this program)

  • MGT 5132 Basic Economics
    (or two undergraduate economics courses)
    Credit Hours: 3
    Covers market forces of supply and demand, concept of utility, firm and production, production function and costs of production, and various market structures. Introduces macroeconomics, the issues of aggregation, circular flow model, monetary sector and the government stabilization policies.

Note: Computer literacy is required as a prerequisite. It can be demonstrated by the applicant's undergraduate coursework, passing a proficiency examination offered by the extended studies department or by completing a suitable computer course.

Required Courses
  • MGT 5006 Introductory Managerial Statistics
    Credit Hours: 3
    Studies methods of collecting, analyzing and interpreting data for managerial decision making. Includes data presentation, measures of central tendency, dispersion and skewness; discrete and continuous probability distributions; sampling methods and sampling distributions; and confidence interval estimation of parameters and tests of hypotheses.
  • MGT 5013 Organizational Behavior
    Credit Hours: 3
    Covers the contributions to management theory made by the behavioral sciences. Gives a better understanding of the human being and why he acts as he does. Studies individual and group behavior. Extensively uses current periodicals and case materials.
  • MGT 5064 Cost and Economic Analysis
    Credit Hours: 3
    Covers cost effectiveness, trade-off analysis, system effectiveness model structure, criteria for evaluation of alternative systems, principles of cost accounting and cost estimating for system life cycle. Includes basic math for cost-effective analysis, computer tools for economic modeling and risk assessment.
  • MGT 5080 Strategic Project Management
    Credit Hours: 3
    Examines the practical tools of strategy, planning and implementation at business and corporate levels. Covers the primary challenges of projects (scope, time, budget). Provides fundamental techniques and principles. Follows national standards for successful Project Management Professional® (PMP) certification.
  • MGT 5081 Project Tools and Techniques
    Credit Hours: 3
    Covers tools and techniques used in project management. Emphasizes how to determine the appropriate tool or technique to use during the different phases of a project life cycle. Provides understanding of theory and the strategic roles of the different tools and techniques available.
  • MGT 5082 Cases in Applied Project Management
    Credit Hours: 3
    Covers planning and managing a project. Uses learned project management concepts. Provides hands-on experience in planning and managing a student project. Gives insight through case studies and real-world analyses. Examines methodology and the importance of a formal process. Includes Organizational Project Management Maturity Model (OPM3).
  • MGT 5088 Project and Program Risk Management
    Credit Hours: 3
    Systematically approaches risk management from project initiation to project planning, implementation, control and closeout. Discusses various techniques and models for qualitative/quantitative risk assessment and risk management in areas such as cost, schedule and outputs.
  • MGT 5090 Practicum for Project Management
    Credit Hours: 3
    Formulates and applies the knowledge of project management in an integrative fashion within a project team environment. Requires a written project plan and a significant research paper or challenging project.
    May serve as the capstone for certain majors.
Electives (3 courses)
Select three courses:
  • MTH 5401 Applied Statistical Analysis
    Credit Hours: 3
    Covers statistical distributions, statistical tests for data, least squares and regression, estimations, tests of hypotheses, analysis of variance, planning and designing research experiments, randomized blocks, Latin and Graeco-Latin squares and data reduction, analysis using ANOVA (analysis of variance) and other methods.
  • MTH 5411 Mathematical Statistics 1
    Credit Hours: 3
    Covers discrete and continuous random variables, generating and moment generating functions, multivariate distributions, covariance and correlation, sums of independent random variables, conditional expectation, Central Limit Theorem, Markov and Chebyshev inequalities and the Law of Large Numbers.
  • ORP 5001 Deterministic Operations Research Models
    Credit Hours: 3
    An applied treatment of modeling, analysis and solution of deterministic operations research problems. Includes model formulation, linear programming, network flow and transportation problems and algorithms, integer programming and dynamic programming.
  • ORP 5002 Stochastic Operations Research Models
    Credit Hours: 3
    An applied treatment of modeling, analysis and solution of probabilistic operations research problems. Topics chosen from decision analysis, game theory, inventory models, Markov chains, queuing theory, simulation, forecasting models.
  • ORP 5003 Operations Research Practice
    Credit Hours: 3
    Includes OR methodology, how an OR analyst interacts with clients, and preparation and presentation of oral reports. Students form teams to analyze real cases where each student gets an opportunity to be a team leader and present oral reports.
  • ORP 5010 Mathematical Programming
    Credit Hours: 3
    Surveys popular optimization techniques. Topics chosen from linear, integer, nonlinear, dynamic and network flow programming; combinatorial graph algorithms.
    Prerequisite course or instructor approval
  • ORP 5011 Discrete Optimization
    Credit Hours: 3
    Studies combinatorial optimization and integer programming.
  • ORP 5030 Decision Analysis
    Credit Hours: 3
    Covers normative models of decisions under certainty, risk and uncertainty; assessment of subjective probability and utility functions; Bayesian decision analysis and the value of information; influence diagrams; and descriptive aspects of decision making.
  • ORP 5040 Quality Assurance
    Credit Hours: 3
    Covers the principles and application of statistical quality control and statistical process control.
  • ORP 5041 Reliability Analysis
    Credit Hours: 3
    Covers the principles of reliability analysis and assessment; reliability probability models; combinatorial and system reliability; and reliability estimation.
    Instructor approval or prerequisite course
  • ORP 5042 Reliability, Availability and Maintainability
    Credit Hours: 3
    Discusses maintainability concepts relating to system effectiveness and support-system design. Includes basic mathematical concepts, design concepts and data analysis used in quantifying availability, maintainability and reliability as measures of operational readiness and system effectiveness.
  • ORP 5050 Discrete System Simulation
    Credit Hours: 3
    Covers the principles of building and using a discrete event simulation; construction and statistical testing of random variate generators; statistical analysis and validation of results; design of simulation projects; and variance reduction methods.
    Instructor approval or prerequisite course
Total Credits Required: 33

*Serves as the capstone course for this program.