Master of Science in Engineering Management
The Engineering Management Program is offered as an interdisciplinary program that integrates engineering and business concepts. The curriculum prepares an experienced professional engineer or scientist for a leadership role in planning, developing, and managing the firm’s technical resources including people, technology, and processes. Graduates acquire an understanding how to use the technical base to accomplish the organization’s operational, strategic, and competitive objectives.
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Course |
Course Description |
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ACCT 5301 - Accounting Analysis I |
Introduction to concepts, purposes, problems, methodology, and terminology of financial accounting. |
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IE 6305 - Engineering Management I |
The management of the engineering function in high-technology industry with principal emphasis on the historical development of industrial management principles, decision-making and planning. Prerequisite: Graduate standing. |
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OPMA 5367 - Quality Management |
Course focuses on quality of products and services needed by society. Topics include consideration of quality cost and improvements, designing for quality, process controls, inspections, testing, acceptance sampling, management controls, and quality information systems. |
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IE 6306 - Engineering Management II |
The management of the engineering function in high-technology industry with principal emphasis on human resources and staffing, directing and leading, and controlling. Prerequisite: IE 6305. |
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OPMA 5321 - Introduction to Management Sciences or approved elective |
Introduction to optimization and quantitative analysis of business problems. Topics include applications of linear and integer programming, network analysis, simulation, game theory, queuing theory, and other operations research tools. |
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IE 5304 - Advanced Engineering Economy |
Analysis of capital investments in engineering and technical projects. Topics include decision analysis methods, cash flows, revenue requirements, activity-based analysis, multi-attribute decisions, probabilistic analysis and sensitivity/risk analysis. Prerequisite: graduate standing. |
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Course |
Course Description |
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MARK 5328 - Product Management |
Management of the firm's product or service offerings. Topics include new product development, new product screening, evaluation of existing products, product line and mix analysis, product abandonment decisions, the brand manager's role, the new product planning department, and others. Emphasis on the development of meaningful criteria for decision-making in the product area and on the development of information systems to suggest, screen, and monitor products. |
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IE 5345 - Management of Knowledge and Technology** |
Review of contemporary issues in knowledge management, databases, decision support systems, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, data mining, knowledge transfer, and collaborative development. Prerequisite: graduate standing. |
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OPMA5364 - Project Management |
Course covers concepts and issues important in effectively managing projects. Topics include project selection, project planning, negotiation, budgeting, scheduling, resource allocation, project control, project auditing, and project termination. |
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IE 5346 - Technology Development and Deployment** |
Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration. Prerequisite: graduate standing. |
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IE 5339 - Product Design, Development, Producibility, and Reliability Design** |
This course covers product development and engineering design process with a focus on collaborative design. Software, manufacturing, reliability, testing, logistical and product support considerations are emphasized. Prerequisite: graduate standing. |
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IE 5322 - Simulation and Optimization or approved elective** |
An in-depth study of discrete event simulation theory and practice. Optimization and search techniques used in conjunction with simulation experiments are introduced. A commercial simulation software application is used. Prerequisite: IE 5317 or concurrent. |
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Approved Elective** |
** Take 3 of these 4 courses |
Department of Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering is an enthusiastic community of students, faculty, staff, alumni, and industry partners dedicated to making industry and society more productive. Our Mission is to create, learn, teach, and apply Industrial Engineering principles for integrating people, processes, and technology to accomplish organizational goals. Our specialties include manufacturing systems, engineering management, quantitative methods, logistics, enterprise engineering, and others.
Department of Information Systems and Operations Management
The Department of Information Systems and Operations Management is committed to being the program of choice in North Texas and internationally recognized for high quality academic programs and research in Information Systems, Operations Management, and Statistics. Our goals encompass the development of quality students with a rigorous curriculum taught by faculty knowledgeable in appropriate technology to support our educational environment.
Admissions Criteria
MS Program in Engineering Management
UNCONDITIONAL ADMISSION
Applicants must hold a baccalaureate degree in science, mathematics, engineering or other appropriate field.
Unconditional admission into the M.S. Engineering Management program is granted if all of the following conditions are met:
- A GPA of at least 3.0 in last 60 hours of undergraduate coursework or prior graduate work
- A minimum score of 600 on the GRE quantitative section and 400 on the GRE verbal section
- A minimum score of 500 on the handwritten TOEFL (213 on the computer-based version or 79 on theTOEFL iBT) if English is not the applicant's native language
- Adequate preparation in Math, Science, Engineering, or other appropriate field. Industrial experience is preferred.
PROBATIONARY ADMISSION
Prospective students who do not meet the conditions for unconditional admission are granted probationary admission if their GPA is 2.6 or greater.
Students granted probationary admission must maintain a GPA of at least 3.0 for the first 9 hours completed at UTA. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.
PROVISIONAL ADMISSION
An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.
DEFERRAL
The admission decision is deferred if insufficient information is available.
DENIAL
Prospective students with a GPA below 2.6 may be denied admission at the discretion of the Graduate Advisor. The Graduate Advisor may grant probationary admission if other factors suggest a potential for success in the graduate program.