The Systems Engineering program is designed to provide students with both the fundamental and applied management and technical knowledge to support the development of complex systems. Systems Engineering is that branch of engineering that develops systems, where a system is a collection of elements that work together as a unit.
Systems Engineering considers the total systems life-cycle from customer requirements and concept through design and development, system use, system maintenance, and system disposal. A Systems Engineering curriculum must encourage a broad view rather than a focus on individual system elements or phases of development. This broad view, a systems view, enables better system performance and reduces the likelihood of unintended consequences.
Students may obtain a Master of Science in Systems Engineering and then pursue a PhD in Industrial Engineering with a focus on Systems Engineering.
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Course |
Description |
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CORE COURSES |
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IE 5351 - INTRODUCTION TO SYSTEMS ENGINEERING |
This course includes a survey of concepts, principles and processes required to engineer complex systems throughout the life-cycle from concept through disposal. Prerequisite: graduate standing and permission of advisor. |
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IE 5352 - SYSTEMS ENGINEERING I |
A study of systems engineering topics including technical planning and management, supply processes, requirements definition and analysis, functional analysis, and trade-off analysis. Prerequisite IE 5351. |
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IE 5353 - SYSTEMS ENGINEERING II |
A continuation of IE 5352. Topics include risk management, systems design and implementation, acquisition processes, assessment and control, earned value management, technical process management, and enabling products. Prerequisite: IE 5352. |
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IE 5354 - SYSTEMS ENGINEERING III |
A continuation of IE 5353. Topics include system verification, validation and transition to use, specialty engineering, improving SE processes, SE and relationships to international programs, object oriented systems engineering and configuration management. A comprehensive student project it required. Prerequisite IE 5353. |
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PRESCRIBED ELECTIVES LIST A (pick at least 1 of 5) |
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IE 5301 - ADVANCED OPERATIONS RESEARCH |
A survey of quantitative methods to develop modeling and decision-making skills. Topics include z-transforms and difference equations, Markov Chains, decision analysis techniques, goal programming, game theory, queuing theory and nonlinear programming. Prerequisites: IE 3301 and IE 3315 or equivalent. |
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IE 5318 - ADVANCED ENGINEERING STATISTICS |
An in-depth study of one predictor variable followed by the matrix approach to multiple linear regression. Topics include estimation, prediction, analysis of variance, residual analysis, transformations, multicollinearity, model selection, weighted least squares, ridge regression, robust regression and logistic regression. Prerequisite: IE 3301 or equivalent. |
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IE 5322 - SIMULATION AND OPTIMIZATION |
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 5318 or concurrent. |
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IE 5320 - ENTERPRISE ENGINEERING METHODS |
A survey of enterprise engineering methods. Topics include system development methodology, discussion of enterprise architectures, activity modeling, business modeling, activity-based performance analysis, simulation, and process improvement. Prerequisite: Graduate standing. |
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IE 6301 - ENTERPRISE ARCHITECTURES AND FRAMEWORKS |
A survey of enterprise architectures and analysis frameworks that have been proposed for the integration of large complex enterprise systems. Emphasis is placed on state-of-the-art approaches. Prerequisite: IE 5320. |
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PRESCRIBED ELECTIVES LIST B (pick at least 1 of 5) |
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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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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 5364 - 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 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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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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FREE ELECTIVES |
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Up to 3 courses (9 hours) in engineering, science, or mathematics with the approval of the graduate advisor. These free electives provide the student with an opportunity to pursue specific technical interests. |
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Admissions Criteria
MS Program in Systems Engineering
UNCONDITIONAL ADMISSION
Unconditional admission into the M.S. Systems Engineering 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 and 400 on the GRE Verbal sections
- A minimum score of 500 on the handwritten TOEFL (213 on the computer-based version or 79 on the TOEFL iBT) if English is not the applicant's native language.
- Adequate preparation in Math, Science, Engineering, or other appropriate field (see graduate advisor)
- A minimum of two years of industry experience
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.
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. Denial will not be based solely or primarily on GRE performance. In cases where test performance is relatively poor, all other qualifications presented by the applicant will be carefully evaluated for evidence of potential for success in the program.
DEFERRAL
The admission decision is deferred if sufficient information is not available.