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Manufacturing Systems Engineering

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Total credits required for M.S. or M.Eng. curriculum: 30

M.Eng. Curriculum

The Manufacturing Systems Engineering Masters of Engineering (M.Eng.) is designed to provide an in-depth coverage of a wide range of topics related to manufacturing systems engineering. Appropriate courses are included in this program to introduce to the student quantitative tools and techniques to enable solution of a well-defined manufacturing problem. The M.Eng. degree in Manufacturing Systems Engineering is intended primarily for those wishing advanced knowledge and problem-solving skills for application in industry.

Master's Curriculum

The Manufacturing Systems Engineering Masters of Science (M.S.) degree is designed to provide an in-depth coverage of a particular range of topics related to manufacturing systems engineering, and experience in performing independent research in a chosen area of interest approved by the student’s advisory committee. The culmination of this research is the M.S. thesis. The M.S. degree in Manufacturing Systems Engineering is intended primarily for those desiring to develop higher-level analysis, synthesis, and evaluation skills in a particular domain of manufacturing systems engineering. Degreed students typically seek advanced industrial positions or continue towards the Ph.D. degree.

Area of Concentration

In order to be more closely associated with a specific domain, students may elect to follow a particular area of concentration. These are groups of courses reflecting both the interests and specializations of the Manufacturing Systems Engineering faculty and current industrial demands and trends. Three areas of concentration are currently offered.

Computer-Integrated Manufacturing involves the use of computers and associated equipment to integrate the flow of information across the various activities performed in manufacturing organizations. The CIM track has been developed to provide students with the advanced knowledge and skills required to design, implement, and analyze CIM systems both in theory and in practice. Besides CIM, General Manufacturing aims to introduce the students to lean manufacturing, semiconductor manufacturing and flexible manufacturing systems.

The robotics and automation track involves the design and application of manufacturing systems that integrate robots and other automation technologies into manufacturing systems for efficient processes and material handling operations. This track includes courses which emphasize both the technologies of automation and integration aspects. Additionally, courses in computer aided design and computer systems technologies are often taken by students interested in this track.

Production planning and control involves the procurement, production and distribution-related functions of a manufacturing facility. Some specific problem areas include production scheduling, aggregate planning, facilities planning, production and inventory control, process planning and forecasting. This track is designed to introduce to the student the tools and techniques of this area for application to real-world problems as well as to build a theoretical foundation to do research in this area.

  Thesis Non-thesis
Required courses: core 6 6
Required courses: menu 6 6
Electives 12 18
Research requirements 6 -
Total 30 30
Number Title Credits
ISE 5204 Manufacturing Systems Engineering 3
ISE 5405 Optimization I 3
Total Credits 6

Select two of the following five courses (the other courses can be used as elective courses).

Number Title Credits
ISE 4264 Industrial Automation 3
ISE 4214 Lean Manufacturing 3
ISE 5244 Facilities Planning & Material Handling 3
ISE 5454 Production Planning & Control 3
ISE 5044 Production Systems Analysis 3

Six or more credit hours of Master's research (ISE 5994: Research and Thesis) are required. The student’s advisor (or at least one of the co-chairs) must be a tenure/tenure track faculty member from the Manufacturing Systems Engineering area.

In addition to the required courses, six or more elective courses are required. No more than 6 credit hours at the 4000 level can be taken. A suggested list of ISE course electives is given below.  Also, three sets of courses belonging to specialized areas of concentrations are identified below that are often taken by M.S. non-thesis students. Courses may be selected from within the department or from a related area, as long as such courses are approved by the student’s advisory committee. No more than one (1) College of Business course may be used to fulfill this requirement.

Four or more courses are required. These may be selected from one of the concentration areas offered. Courses may be selected from within the department or from a related area, as long as such courses are approved by the student’s advisory committee. No more than 6 credit hours at the 4000 level can be taken. Also, no more than one (1) College of Business course may be used to fulfill this requirement.

Number Title Credits
ISE 4264 Industrial Automation 3
ISE 4214 Lean Manufacturing 3
ISE 5264 Semiconductor Manufacturing 3
ISE 5314 Industrial Applications of Robotics Devices 3
ISE 5424 Simulation 3
ISE 5244 Facilities Planning & Material Handling 3
ISE 5454 Production Planning & Control 3
ISE 6284 Advanced Topics in Manufacturing Systems Engr. 3
ISE 6434 Scheduling and Sequencing Theory 3
Number Title Credits
ISE 4214 Lean Manufacturing 3
ISE 5264 Semiconductor Manufacturing 3
ISE 5424 Simulation I 3
ISE 5244 Facilities Planning & Material Handling 3
ISE 5454 Production Planning & Control 3
Number Title Credits
ISE 4264 Industrial Automation 3
ME 4524 Introduction to Robotics and Automation 3
ME 4634 Introduction to Computer-Aided Design and Mfg. 3
ME 5604 Computer-Aided Design I 3
ME 6604 Computer-Aided Design II 3
EE 5554 Theory and Design of Computer Vision Systems 3
Number Title Credits
ISE 4214 Lean Manufacturing 3
ISE 5414 Random Process 3
ISE 5424 Simulation I 3
ISE 5264 Semiconductor Manufacturing 3
ISE 5454 Production Planning & Control 3
CS 5804 Artificial Intelligence 3
ISE 6404 Graph Theory and Network Flows 3
ISE 6424 Dynamic Programming 3
ISE 6434 Scheduling and Sequence Theory 3