The Master of Science in Systems Engineering Applications are being accepted Please contact Dr. Don Liles, 817-272-3160, dliles@uta.edu
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. In practice, one or more of the elements may itself be a system. Therefore, Systems Engineering may be thought of as engineering systems of systems. 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. (36 Semester Hours)
	Course and Description
	CORE COURSES IE 5351. INTRODUCTION TO SYSTEMS ENGINEERING AND ANALYSIS. A survey of the basic methods of systems engineering analysis. Topics include general systems theory, probability and statistics, operations research, and an overview of the systems engineering process. Prerequisite: graduate standing. IE 5352. SYSTEMS ENGINEERING I. A study of systems engineering topics including technical planning, risk management, configuration management, and program management. Case studies are presented. Prerequisite: IE 5351. IE 5353. SYSTEMS ENGINEERING II. A continuation of IE 5352. Topics include requirements analysis, systems definition, alternatives analysis, and systems verification. Case studies are presented. Prerequisite: IE 5352. IE 5354. SYSTEMS ENGINEERING III. A continuation of IE 5353. Topics include education and training, organization, product technology, and other relevant tools for the practicing systems engineer. Case studies are presented, and a comprehensive student project is required. Prerequisite: IE 5353. PRESCRIBED ELECTIVES LIST A (pick at least 1 of 5) 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. Prerequisite: IE 3301 and 3315 or IE 5351 or equivalent. IE 5318. ADVANCED ENGINEERING STATISTICS. Regression analysis and the analysis of variance with an emphasis on computer applications using SAS and Statistica. Regression topics include model development, hypothesis testing, confidence interval estimation, variable selection, and regression diagnostics. ANOVA topics include: completely randomized, randomized, latin square, and factorial experimental designs and nonparametric statistical techniques. Prerequisite: IE 3301 or IE 5351 or equivalent. 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. IE 5320. ENTERPRISE ENGINEERING METHODS. A survey of enterprise engineering methods. Topics include a system development methodology, a discussion of enterprise architectures, activity modeling, business modeling, activity based performance analysis, simulation, and process improvement. Prerequisite: graduate standing. 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. PRESCRIBED ELECTIVES LIST B (pick at least 1 of 5) 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. 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 or consent of instructor. 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. IE 5304. ADVANCED ENGINEERING ECONOMY. The analysis of capital investments in engineering and other technical projects. Topics include decision analysis methods, cash flows, revenue requirements, activity based analysis, multiattribute decisions, probabilistic analysis, sensitivity/risk analysis. Prerequisite: graduate standing. 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. FREE ELECTIVES 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.

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 550 on the GRE Quantitative and 350 on the GRE Verbal sections

· A minimum score of 550 on the handwritten TOEFL or 213 on the computer-based version 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 12 hours completed at UTA. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.

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.

DEFERRAL

The admission decision is deferred if insufficient information is available.