Industrial Engineering M.S.

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Transform yourself into a highly skilled graduate who is prepared to be an industrial engineer, engineering manager or technical professional, or leader for the global economy through the online Master of Science programs in industrial engineering. You’ll be prepared for further graduate work or independent research, and you can design your program to focus on one or more of the research areas below. No matter which area(s) you choose, your UCF Online education will provide you with opportunities to continue or begin your career as an industrial engineer.

Industrial Engineering, in its broad nature, focuses on the design and improvement of systems, products and processes. A total systems approach is used to optimize the various aspects of operations in both manufacturing and service industries. Industrial engineers use many analytical approaches to improve productivity, safety, and quality of working life while reducing operating costs.

The Industrial Engineering programs are structured to support the emergence of Central Florida as a national center of high technology as well as supporting the diverse service industries in the region and throughout the nation.

In the Industrial Engineering MS programs, students are able to individually craft their programs of study and select their courses to focus in one or more of the following research areas.

As technology has become more sophisticated, the need to design for the human user has become more difficult, yet even more important. Human engineering and ergonomics assist in ensuring that as technology advances, the abilities, limitations, and needs of humans are considered in the system design. This not only supports the needs of the user, it also optimizes the efficiency and usability of the system designed. Traditionally, ergonomics has been associated with biomechanical issues and work measurement and performance issues in physical system design, as well as occupational and industrial safety. The broader focus of human engineering encompasses those issues as well as incorporating the reaction and effectiveness of human interaction with systems, both physical systems and virtual systems such as computer-based models.

Research in the Human Systems Engineering and Ergonomics area provides students with the necessary knowledge in human engineering and ergonomics to effectively design tasks, industrial systems, and work environments that maximize human performance, safety, and overall productivity.

The Interactive Simulation and Training Systems research within the Industrial Engineering MS program focuses on providing a fundamental understanding of significant topics relative to simulation systems and the requirements, design, development, and use of such systems for knowledge transfer in the technical environment. Courses in this area address the evolving and multiple discipline application of interactive simulation by providing a wealth of electives to support development of individual student interests and talents. In conjunction with UCF’s Institute for Simulation and Training, industrial organizations involved in simulation in the Central Florida region, military organizations, and other governmental organizations, ISTS research in the MS program provides exposure to both military and commercial interactive simulation and training systems.

The emphasis is on the application and development of interactive simulation and training systems to meet various requirements including, but not limited to: simulators, skill trainers, organizational learning systems, computer and web-based interactive simulation systems and other novel interactive simulation efforts. Courses in the interactive simulation and training systems area prepare individuals with an undergraduate degree in engineering, science, education, psychology, mathematics or other related disciplines for careers in simulation, focusing particularly on the interactive simulation and training systems industries.

The Operations Research courses in the Industrial Engineering MS program uses mathematics and computer-based systems to model operational processes and decisions in order to develop and evaluate alternatives that will lead to gains in efficiency and effectiveness. Drawing on probability, statistics, simulation, optimization, and stochastic processes, Operations Research provides many of the analytic tools used by industrial engineers as well as by other analysts to improve processes, decision-making, and management by individuals and organizations. Research in this area is ideal for students who have an undergraduate degree in engineering, mathematics, or science. The knowledge in these courses build on an undergraduate Engineering, Mathematics, or Science degree to develop a strong modeling and analytical capability to improve processes and decision-making.

The Quality Systems Engineering research in the Industrial Engineering MS program focuses on providing the knowledge for improving product and process quality in manufacturing and service industries. Quality Systems Engineering provides both the quantitative tools for measuring quality and the managerial focus and organizational insight required to implement effective continuous improvement programs and incorporate the voice of the customer. The Quality Systems Engineering courses builds on an undergraduate degree in industrial engineering or a closely related discipline to provide the necessary knowledge to plan, control, and improve the product assurance function in government, military, service, or manufacturing organizations.

The Simulation Modeling and Analysis research and studies in the Industrial Engineering MS program focus on providing a fundamental understanding of the functional and technical design requirements for simulation in manufacturing and service industries. Research in this area is based on a systems modeling paradigm and provides coding and development capability in the context of a broader systems framework. Significant exposure to design and analysis aspects is a core element of the track. The Simulation Modeling and Analysis research and coursework prepare individuals with an undergraduate degree in Engineering, Science, Mathematics, or a closely related discipline for careers in simulation, focusing particularly on using simulation as an analysis and design tool for the manufacturing and service industries.

Intelligence is being infused into everyday systems, processes and infrastructure that enable physical goods to be developed, manufactured, bought and sold. These same systems also facilitate the movement and delivery of global products and services that support worldwide markets such as finance, energy resources and healthcare systems.

With these technological advancements, comes a new level of complexity as organizations struggle to integrate systems, processes and data feeds. As a result, the demand for systems engineering and related skills is expected to grow significantly.

Systems engineers design and implement computer systems, software and networks, including defining complex system requirements, and determining system specifications, processes and working parameters.

The Systems Engineering studies and research in the Industrial Engineering MS program are intended for individuals of all engineering disciplines. Research and coursework focus on a systems view of engineering problems related to the management of complex industrial, military, government, and social systems.

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The Industrial Engineering MS program offers both thesis and nonthesis options with each requiring 30 credit hours of courses. The program is flexible to enable students to model their plan of study to suit their needs and future work or career goals. All students must develop a plan of study with the graduate program director that meets with departmental approval. At least one-half of the courses (including thesis hours) required in the master’s program of study must be at the 6000 level or higher. A cumulative grade-point average of B (3.0) must be maintained in the entire program of study.

Students on assistantships must take 9 credit hours per semester (Fall, Spring) to satisfy the university’s requirement for full-time status. Most students working full time take 6 credit hours per semester. At that rate, the program can be completed in 6 semesters or less. However, students with more time available and with an early start on a thesis, if applicable, can finish the program in 3 semesters.


The Industrial Engineering MS program requires an undergraduate degree in engineering, mathematics, computer science, statistics, physics, quantitative management or similar field.

Outstanding students with degrees in other disciplines such as business, economics or computer/information sciences may also be considered on a case-by-case basis, provided they have significant work experience and/or very high academic standing.

Regardless of the undergraduate degree, all applicants must have completed the following prerequisites:

  • Mathematics through Calculus II (MAC 2312 or equivalent)
  • An undergraduate course in engineering probability and statistics.
  • In addition, they are expected to be familiar with at least one programming language (such as C, FORTRAN, Java, Visual BASIC, C++, etc.) and common computer skills and tools such as word processors and spreadsheets.

Required Courses (12 Credit Hours)

  • ESI 5219 Engineering Statistics (3 credit hours)
  • EIN 5140 Project Engineering (3 credit hours)
  • EIN 6357 Advanced Engineering Economic Analysis (3 credit hours)
  • ESI 6551 Systems Architecting (3 credit hours)

Elective Courses (12 Credit Hours)

All students, both thesis and nonthesis, must take 12 credit hours of electives after consultation with their adviser.

Thesis Option

The thesis option requires 6 credit hours of thesis. Thesis students must complete an independent research study and write and successfully defend a thesis according to program guidelines.

  • EIN 6971 Thesis (6 Credit Hours)

The College of Engineering and Computer Science requires that all thesis defense announcements are approved by the student’s adviser and posted on the college’s website and on the College of Graduate Studies Events Calendar at least two weeks before the defense date.

Nonthesis Options (6 Credit Hours)

  • EIN 6950 Capstone Course in Industrial and Systems Engineering (3 credit hours)
  • Elective course (3 credit hours)

The nonthesis option requires a capstone course and an additional nonrestricted elective course that supports the student’s area of research and study interests. The capstone course should be completed toward the end of the student’s graduate plan of study. As part of the requirements of this course, students will complete an independent capstone project on a topic relevant to the industrial and systems engineering field and approved by the instructor. Students are expected to use and leverage knowledge obtained in the program to complete the project. This course serves as the culminating experience for the students and shows their engagement in independent learning.

Human Systems Engineering/Ergonomics

  • EIN 5248C Ergonomics (3 credit hours)
  • EIN 5251 Usability Engineering (3 credit hours)
  • EIN 6270C Work Physiology (3 credit hours)
  • EIN 6258 Human-Computer Interaction (3 credit hours)
  • EIN 6279C Biomechanics (3 credit hours)
  • EIN 6935 Advanced Ergonomics Topics (3 credit hours)
  • EIN 6271 Human Reliability (3 credit hours)

Quality and Production Systems

  • ESI 6225 Quality Design and Control (3 credit hours)
  • ESI 6224 Quality Management (3 credit hours)
  • EIN 5392C Manufacturing Systems Engineering (3 credit hours)
  • EIN 6336 Production and Inventory Control (3 credit hours)
  • EIN 6425 Scheduling and Sequencing (3 credit hours)
  • EIN 5356 Cost Engineering (3 credit hours)
  • ESI 5227 Total Quality Improvement (3 credit hours)
  • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)

Management Systems

  • EIN 6182 Engineering Management (3 credit hours)
  • EIN 5117 Management Information Systems I (3 credit hours)
  • EIN 6370 Innovation in Engineering Design (3 credit hours)
  • EIN 6339 Operations Engineering (3 credit hours)
  • EIN 5108 The Environment of Technical Organizations (3 credit hours)

Simulation, Optimization and Modeling

  • ESI 6336 Queuing Systems (3 credit hours)
  • ESI 5306 Operations Research (3 credit hours)
  • ESI 6418 Linear Programming and Extensions (3 credit hours)
  • ESI 6532 Object-Oriented Simulation (3 credit hours)
  • ESI 5531 Discrete Systems Simulation (3 credit hours)
  • EIN 5255C Interactive Simulation (3 credit hours)
  • EIN 6528 Simulation Based Life Cycle Engineering (3 credit hours)
  • EIN 6645 Real-Time Simulation Agents (3 credit hours)
  • EIN 6936 Seminar in Advanced Industrial Engineering (3 credit hours)
  • ESI 5419C Engineering Applications of Linear and Nonlinear Optimization (3 credit hours)
  • ESI 6217 Statistical Aspects of Digital Simulation (3 credit hours)

Systems Engineering

  • ESI 6358 Decision Analysis (3 credit hours)
  • ESI 5359 Risk Assessment and Management (3 credit hours)
  • EIN 6215 System Safety Engineering and Management (3 credit hours)
  • ESI 5236 Reliability Engineering (3 credit hours)
  • EIN 5346 Engineering Logistics (3 credit hours)
  • ESI 6891 IEMS Research Methods (3 credit hours)

Career Opportunities

  • engineering manager
  • ergonomist
  • industrial engineer
  • management engineer
  • operations analyst
  • project manager
  • quality control engineer
  • technical professional

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