- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
EMGT
40 courses with the subject EMGT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
(3) Cross-listed Course(s): SEGR 4142. Pre- or Corequisite(s): EMGT 5202 or permission of department. Introduces various reliability and survival analysis techniques. Topics include: reliability/survival functions, failure/hazard rate functions; parametric/non-parametric/semi-parametric techniques; Jensen Shannon Divergence, Kullback-Leibler Divergence, and Wasserstein distance for Generative Data Modeling; Conditional Value at Risk.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Junior standing. Focuses on skills needed to be an effective leader in business and industry in the 21st Century. The course includes an introduction to leadership styles and how they are employed in organizations. The course covers leadership skills and competencies and introduces students to the impact of AI and global communications on organization and leadership.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Cross-listed Course(s): SEGR 4154. Pre- or Corequisite(s): EMGT 5202 and EMGT 5203, or permission of department. The Bayesian approach to decision-making with numerous applications in engineering, business, and healthcare. Discriminant analysis and ROC curve. Expected value maximization, decision trees, Bayes' theorem, value of information, Bayesian networks and optimal strategies. Axiomatic utility controversies and prospect theory. Theoretical and empirical determination of utility functions and relationship to human belief network. Brief introduction to multi-attribute problems, time streams, data envelopment analysis, and group decisions.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Analysis (3)
- Subject
- EMGT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
(3) Cross-listed Course(s): SEGR 4202. Pre- or Corequisite(s): EMGT 5201. The fundamentals of stochastic system analysis. The course is dissected into three modules: (1) probability and statistics, (2) stochastic models, and (3) regression analysis.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Concentration Courses (12 credit hours)
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Junior standing, Basic math, economics, or consent of instructor. Overview of energy systems: energy types, generation, conversion, storage, transportation/transmission, and utilization. Principles, physical structure, processes, and utilization of fossil fuel, nuclear, and renewables for transportation, thermal, and electrical energy generation are discussed along with associated performance metrics. Also provides an introduction to environmental impacts of energy production, life-cycle analysis, energy efficiency concepts and metrics, transmission systems, grid reliability, and the impact of smart grid technologies. All topics are presented in the context of industry standards as well as federal and state regulations.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
And a different one from the following:
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
current topics of special interest. May be repeated for credit.
- Subject
- EMGT
- Type
- course
- Repeatable
- May be repeated for credit.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Optimal Control (3)
- Subject
- EMGT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Learning (3)
- Subject
- EMGT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Provides an in-depth study of current issues and advances in manufacturing management. Topics include: just-in-time inventory management, total quality management, statistical process control, continuous improvement, flexible manufacturing systems, computer-integrated manufacturing, technology evaluation and selection, and manufacturing strategy. Emphasis on use of computers for decision support.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
investigation and exposition of results. May be repeated for credit.
- Subject
- EMGT
- Type
- course
- Repeatable
- May be repeated for credit.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Minimum two courses from EMGT 5201, EMGT 5202, EMGT 5203; Department approval is required; At least 21 credit hours must be completed or currently enrolled in. The first-term capstone project in a series of two project courses for the students in the M.S. in Engineering Management program. A data-driven, real- world industry or business project is proposed and carried out by individual students under the guidance of a faculty member. The project topics emphasize the design and implementation of effective methods on the development and/or improvement of products, processes, procedures, or systems. May be repeated with change of topic and mentor.
- Subject
- EMGT
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Repeatable
- May be repeated with change of topic and mentor.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): EMGT 6891 with a grade B or better; 9 or less credit hours remain to complete the MS in Engineering Management degree. The second-term capstone project in a series of two project courses for students in the M.S. in Engineering Management program. The project problem from Engineering Management Project I is continued by individual students under the guidance of a faculty member.
- Subject
- EMGT
- Credits (min)
- 2
- Credits (max)
- 2
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Permission of Instructor. Study of various aspects of project management including project types and organizations, regulatory and liability issues, planning, budget, risk assessment, and conflict resolution. Exercises involve research into emerging management processes, use of computerized techniques, and application of management theories in team-based projects.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
ate Catalog 2026-2027
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Practice (3)
- Subject
- EMGT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Integral and Differential Calculus, Statistics, Probability, or permission of instructor. Useful tools for analyzing difficult decisions and making the right choice. After introducing components and challenges of decision making, the course proceeds with the discussion of structuring decisions using decision trees and influence diagrams. Decision making under uncertainty is emphasized including maximax, maximin, and minimax regret techniques. Modeling of different risk attitudes aduate Catalog 2026-2027
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Permission of instructor. Introduces logistics systems from a systems engineering perspective. It starts from the design of effective and efficient systems with their respective maintenance and support infrastructures to the coordination of the production and distribution of systems and products for customer use at different stages of a final product’s life cycle. The emphasis is on the design and implementation of effective and efficient logistics systems and supply chains. Contents also include the current management issues in logistics systems implementation and supply chain operations.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Provides an understanding of the Lean Six Sigma system design principles and tools. Discusses the lean continuous improvement cycle: 1) defining value using tools such Quality Function Deployment; 2). proceeding with identifying value streams using Value Stream Mapping; 3) making the value stream flow though the elimination of 7 wastes, line balancing, 5S, cellular layouts, SMED; 4) pulling resources JIT based on demand; and 5) achieving perfection through Kaizen events and statistical process control. Six Sigma improvement cycles DMAIC (Define, Measure, Analyze, Measure and Control) and DMADV (Define, Measure, Analyze, Design and Verify) are also discussed and synergies with lean principles are reviewed to create a Lean Six Sigma system. Students are exposed to industry cases from major companies that illustrate the challenges and best practices of implementing a Lean Six Sigma system.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Systems Analytics Concentration Analytics helps the decision maker understand the system and make the best decision to improve the system. The Systems Analytics concentration offers balanced learning experiences on theoretical fundamentals as well as practical skills for a wide range of applications. Theoretical fundamentals train students to approach complex problems with rigorous logic and creativity. Practical skills equip students with computational problem-solving tools. Required Courses (12 credit hours) Select four of the following:
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Permission of instructor. An introduction to the relevant issues and required techniques for successful systems design development, integration, management, and implementation. Principles and methods for system life-cycle analysis, system planning and management, and systems integration. Interfaces between the system, subsystems, the environment, and people. Students learn the factors to control the total system development process designed to ensure a high quality and effective system.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): Calculus and Statistics. Introduction of concepts and methods for the design, testing and estimation of component and system reliabilities. Topics include: reliability mathematics; analysis of reliability data; reliability prediction and modeling; reliability testing: maintainability and availability; failure mode and effects analysis and failure rates; reliability design and implementation; application of concurrent engineering and reliability methods to integrate reliability tests into the overall system development cycle to reduce overall life cycle costs.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Logistics and Supply Chains Concentration The main objective of the Logistics and Supply Chains concentration is to build fundamental engineering management skills to effectively design, plan, and execute supply and logistics networks that deliver value to customers. This concentration helps students understand the principles of logistics and supply chain management, and provides them with the related decision-making and optimization methodologies, as well as analytical and continuous improvement tools and techniques to make the companies deliver goods and services successfully. Required Courses (12 credit hours) Select four of the following:
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Seminars. (1) Prerequisite(s): Permission of instructor. A series of seminars covering current management issues, challenges and practices in industrial, government, and business sectors of industry. May be repeated for credit. (All students in the M.S. in Engineering Management program are required to take this course within the first or second semester of the program.)
- Subject
- EMGT
- Type
- course
- Repeatable
- May be repeated for credit.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Prerequisite(s): EMGT 6980 and two other program required EMGT courses. A data-driven, real world industrial/business project. Emphasizes the design and implementation of effective methods on the development and/or improvement of products, processes, procedures, or systems. A 3-member project committee which includes at least two faculty members from the Department of Systems Engineering and Engineering Management has to be established before taking this project course. This project is a capstone project for the students in the M.S. in Engineering Management program.
- Subject
- EMGT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Note: Two relevant graduate courses from other programs may be taken as electives courses for the engineering management degree with approval of the MSEM program. Courses completed from other
- Subject
- EMGT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Individual investigation culminating in the preparation and presentation of a thesis. Graded on a Satisfactory Progress/Unsatisfactory Progress or Standard Letter Grade basis each term. May be repeated for credit.
- Subject
- EMGT
- Type
- course
- Repeatable
- May be repeated for credit.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Source: University of North Carolina at Charlotte's catalog, linked per course · table learning_unit · CourseShelf publish 61