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Management Science (MS) Course Descriptions

MS 5003  Quantitative Methods for Business Analysis
(3-0) 3 hours credit. Prerequisites: MAT 1033 and MS 1023, their equivalents, or consent of instructor.
Introduction to managerial decision analysis using quantitative and statistical tools. Course includes a general framework for structuring and analyzing decision problems. Some of the topics include decision theory, statistical techniques (such as analysis of variance, regression, nonparametric tests), introduction to linear programming, and introduction to time series. Uses applicable decision support software.

MS 5023  Decision Analysis and Production Management
(3-0) 3 hours credit. Prerequisite: MS 5003 or an equivalent.
Study of applications of quantitative approaches (such as mathematical programming, networks, stochastic processes, multicriteria analysis, and simulation) to business decision analysis. Emphasis is given to production management applications (such as resource allocation, scheduling, inventory control, capital budgeting) and the use of computerized decision support systems.

MS 5303  Topics in Decision Support Systems
(3-0) 3 hours credit. Prerequisite: MS 5023.
Study of systems for supporting managerial and personal/professional decision processes. Topics include review of sample decision support systems, methodologies for identifying decision needs, exploration of analysis tools and related computer technologies and software, survey of expert systems and artificial intelligence applications, and hands-on building of systems.

MS 5323  Statistical Methods for Business Analysis
(3-0) 3 hours credit. Prerequisite: MS 5003 or an equivalent.
Introduction to multivariate statistical analysis. Typical topics include multiple regression, multiple analysis of variance, logistic regression, discriminant analysis, conjoint analysis, cluster analysis, and factor analysis. Emphasizes the use of computer statistical packages.

MS 5343  Logistics Systems Management
(3-0) 3 hours credit.
Study of business logistics: the process of planning, implementing, and controlling the flow and storage of goods or services and related information from point of origin to point of consumption to achieve customer satisfaction. Focuses on the cost and value added to products or services by making them available in the desired condition when and where they are needed.

MS 5373  Simulation Analysis of Business Systems
(3-0) 3 hours credit. Prerequisite: MS 5023.
Study of computer simulation techniques in the analysis of business decision situations. Currently available tools, including general purpose simulation languages, spreadsheets, and graphics programs, are explored. Applications from a wide spectrum of areas are discussed.

MS 5393  Topics in Production Operations Management
(3-0) 3 hours credit. Prerequisite: MS 5023.
Survey of the body of knowledge concerning the management of operations. Considers manufacturing and service principles. The course reviews a variety of topics necessary in the field of production and inventory management, including logistics and distribution processes.

MS 5413  Integrated Global Supply Chain Management
(3-0) 3 hours credit.
Focuses on effective supply chain strategies for organizations that operate globally with emphasis on how to plan and integrate supply chain components into a coordinated system. Specifically, the course seeks to integrate different perspectives from the practices of marketing, logistics, and operations management. The course will introduce key tactics such as risk pooling and inventory placement, integrated planning, and information sharing. One of the key objectives is to understand the relationship between suppliers and customers.

MS 5423  Service Management and Operations
(3-0) 3 hours credit.
Focuses on understanding the variety of service industries (both profit and nonprofit) and the growing importance of the service industry to the economy. In addition to the traditional topics of quality, customer satisfaction and value creation, topics include service encounters, service design and development, service productivity, and globalization of services. Tools and techniques for management service operations are also emphasized.

MS 5433  Effective Project Management
(3-0) 3 hours credit.
Approaches project management from the perspective that the material is applicable to all disciplines and project types. It not only emphasizes individual project execution, but also provides a strategic perspective. It integrates the critical PMBoK elements in the context of cases and projects. The course examines the traditional concepts and techniques of project management for long-term development programs and short-term projects as well as introducing the innovative adaptive and extreme concepts.

MS 5453  Management and Control of Quality
(3-0) 3 hours credit. Prerequisite: MS 5023.
An examination of the fundamental nature of quality assurance, its strategic importance in business and industry, and the economic impact of quality. Theoretical and management issues relating to quality problem solving are emphasized. The contribution of the leaders in modern quality management are discussed.

MS 5463  Lean Operations and Six Sigma
(3-0) 3 hours credit.
Course provides an introduction to Six Sigma methodologies and is designed to present the fundamentals of Six Sigma and instill an understanding of what is required to build a sustainable Six Sigma structure. Lean tools, such as physical maps, time value, and Kanban are included as well as advanced Six Sigma statistical tools.

MS 5473  Logistics System Analysis
(3-0) 3 hours credit.
The design and management of logistics systems for firms of varying size and differing supply and market conditions. This course relies upon heavy use of computer-assisted cases and problems to illustrate and integrate issues found in materials management and distribution organizations.

MS 5483  Operations Research Methods in Statistics
(3-0) 3 hours credit. Prerequisite: Consent of instructor.
Theory and applications of mathematical programming techniques applied to statistical analysis. Mathematical topics such as linear, integer and quadratic programming theory and algorithms will be covered. Support vector machines as an application of quadratic programming will be introduced. Mathematical programming techniques for regression and classification analysis will be discussed. Simulation methods for jackknife and bootstrap estimation and/or stochastic analysis will also be covered.

MS 6943  Management Science Internship
3 hours credit. Prerequisites: Graduate standing, 15 semester credit hours of graduate work, and consent of instructor. Internship must be approved in advance by the Internship Coordinator and the student’s Graduate Advisor of Record.
Supervised full- or part-time off-campus work experience and training in management science. Individual conferences and written reports required.

MS 6953  Independent Study
3 hours credit. Prerequisites: Graduate standing and permission in writing (form available) of the instructor and the student’s Graduate Advisor of Record.
Independent reading, research, discussion, and/or writing under the direction of a faculty member. For students needing specialized work not normally or not often available as part of the regular course offerings. May be repeated for credit, but not more than 6 hours, regardless of discipline, will apply to the degree.

MS 6971-3  Special Problems
(1-0, 2-0, 3-0) 1 to 3 hours credit. Prerequisite: Consent of instructor.
An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. Special Problems courses may be repeated for credit when topics vary, but not more than 6 hours, regardless of discipline, will apply to the degree.

MS 6983  Master’s Thesis
3 hours credit. Prerequisites: Permission of the Graduate Advisor of Record and thesis director.
Thesis research and preparation. May be repeated for credit, but not more than 6 hours will apply to the Master’s degree. Credit will be awarded upon completion of the thesis. Enrollment is required each term in which the thesis is in progress.

MS 7033  Applications in Causal Structural Modeling
(3-0) 3 hours credit. Prerequisite: Consent of instructor.
An advanced treatment of causal modeling, including reviews of path analysis, covariance algebra, creating path diagrams, and structural equations, LISREL notation and syntax, confirmatory factor analysis and its extensions.

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