M.S. Industrial Engineering

The MSIE program provides a various selection of electives which allows students to explore a specific area of industrial engineering. The electives, listed in the links below, as approved by the graduate advisor, are used to complete the 36-hour MSIE program.

IE Electives:
[Traditional Industrial Engineering] [Manufacturing] [Logistics] [Enterprise Engineering]
[Quantitative Methods] [Engineering Management] [Human Factors]

Each student must complete the Industrial Engineering core and nine hours of Industrial Engineering applications.

IE Core	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.
	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.
	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.
IE Applications (Pick three)	IE 5303 - QUALITY SYSTEMS: Principles and practices of industrial quality control. Topics include the Deming philosophy, process improvements, statistical process control, process capability analysis and product acceptance. Prerequisite: IE 3301 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 5329 - PRODUCTION AND INVENTORY CONTROL SYSTEMS: The fundamentals of production and inventory control systems. The economic impacts of fluctuating demand, supply availability and production rates are examined. Prerequisite: graduate standing.
	IE 5338 - HUMAN ENGINEERING: Human structural, physiological, psychological, and cognitive capacities and limitations in the workplace, and their effects on the design of work systems to enhance productivity, and maintain health and safety. Prerequisite: IE 3301 or equivalent, or consent of instructor.
	IE 5342 - METRICS AND MEASUREMENTS: Work measurement, methods improvements, and performance measurement. A survey of enterprise and management measurement systems is presented. Prerequisite: IE 3343 or equivalent.
	IE 6302 - FACILITIES PLANNING AND DESIGN: Facilities planning through layout design. Product flow, space-activity relationships, personnel requirements, and material handling are considered, as well as receiving, shipping, warehousing, and integration with manufacturing. Facilities planning models are explored. Prerequisite: IE 3343, IE 5301, IE 5329 or equivalent.
Based on prior academic preparation, additional or substitute coursework may be required.

Admission Criteria
M.S. Program in Industrial Engineering

Applicants for the master's degree who hold a baccalaureate degree in engineering must meet the general requirements described below. Applicants not meeting all criteria may be admitted on a probationary basis.

For applicants with no prior training in engineering, the same minimum criteria will apply. In addition, their records will be reviewed in relation to the intended program of study, and specific remedial work may be required.

The acceptance of applicants who have already received a master's degree in engineering will be based on the above-mentioned minimum criteria and results of graduate work.

Performance on the GRE will not be the sole criterion for admitting applicants or the primary criterion to deny admission to either the master's or Ph.D. program. In cases where GRE performance is relatively poor all other qualifications presented by the applicant will be carefully evaluated for evidence of potential for success.

UNCONDITIONAL ADMISSION

Unconditional Admission into the M.S. program in Industrial Engineering is granted if all of the following conditions are met:

A GPA of at least 3.0 in the 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 the TOEFL iBT) if English is not the applicant's native language
Adequate preparation in mathematics, science, and industrial engineering

PROBATIONARY ADMISSION

Prospective students not meeting the conditions for unconditional admission may be 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 UT Arlington. 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 sufficient information is not 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.