Program Description
The Master of Science in Manufacturing Systems Engineering facilitates in-depth knowledge of manufacturing systems based on engineering principles. The core foundation in computer-based and automated design, manufacturing and assembly is complimented by expertise in selected areas, such as automation and CAD/CAM, materials and processes, and quality and management. The evolving curriculum, contemporary laboratory facilities, and internationally published faculty enable students and practicing professionals to pursue a versatile field of study having a wide range of career opportunities. The program places its graduates in the academic community and in every facet of industry.
Program Objectives
The objectives of the Master of Science in Manufacturing Systems Engineering are to:
- expand student knowledge of manufacturing systems engineering principles;
- ensure student understanding of breadth and depth of manufacturing environments;
- enable student expertise in at least one of the following:
- capabilities in automation and CAD/CAM manufacturing systems; or
- understanding the behavior and properties of materials and processes; or
- competencies in quality and management engineering; and
- develop student knowledge and abilities needed in the industrial community.
Program Requirements
A. Requirements for Admission to the Program
- Satisfaction of all requirements for graduate admission to the University.
- Approval by the department graduate coordinator.
B. Requirements for Advancement to Classified Graduate Status
- Satisfaction of University requirements for classified status.
- Approval of a program of study plan by an assigned advisor.
- Approval by the department graduate coordinator.
C. Special Requirements
- This program is intended primarily for students who hold a B.S. degree in Engineering, Computer Science or a related technical field. Prospective students who work in technical environments and hold degrees in nontechnical fields should contact the department to discuss any prerequisite courses with a faculty advisor.
- No more than 6 units of advisor-approved 400-level courses may be included in the graduate program of study.
D. Required Courses (33 units)
M.S. Program Curriculum
Required Core Courses (15 Units)
Class | Description | Units |
MSE 508/L | CAD/CAM/Systems and Lab | 2/1 |
MSE 509 | Computer-Aided Manufacturing Systems | 3 |
MSE 603 | Computer Integrated Manufacturing | 3 |
MSE 609 | Advanced Topics CAD/CAM | 3 |
MSE 611 | Robotics and Programmable Automation | 3 |
Required Specialization Courses (6 units)
Each student must choose one of the following three areas of specialization:
Automation and CAD/CAM Specialization
Class | Description | Units |
MSE 511/L | Robotics with Applications and Lab | 2/1 |
MSE 516/L | CAD/CAM Advanced Tools and Lab | 2/1 |
MSE 614 | Intelligent Manufacturing | 3 |
Materials and Processes
Class | Description | Units |
MSE 512 | Fundamentals of MEMS Fabrication | 3 |
MSE 513 | NDE Methods and Analyses | 3 |
MSE 527/L | Mechanical Behaviors of Materials and Lab | 2/1 |
MSE 528/L | Principles of Materials Engineering and Lab | 2/1 |
Quality and Management
Class | Description | Units |
MSE 504 | Engineering Management | 3 |
MSE 600 | Decision Tools for Engineering Managers | 3 |
MSE 604 | Engineering Economy & Financial Analysis | 3 |
MSE 617 | Seminar in Quality Management | 3 |
MSE 618 | Six Sigma Quality Engineering | 3 |
Approved Electives (15 units)
Recommended electives require faculty advisor guidance and approval, and can be selected from courses offered by the department, with the limitation of a maximum of two 400-level courses. Other electives may be suitable for meeting individual student program goals.Elective courses are selected in consultation with a faculty advisor. These courses are selected to meet individual student needs for depth and breadth. No more than 6 of the total elective units may be at the 400-level. No elective units outside of the department will be accepted.
Culminating Experience (3 units)
- MSE 697 Manufacturing Systems Directed Comprehensive Studies (3)
MSE 697 Manufacturing System Engineering Protocol:
Most of manufacturing employers expect the program graduates to learn sufficient knowledge that can apply to practical manufacturing product design and operations. The current directed comprehensive studies in MS MSE program provide each student a chance to experience and practice how to apply the gained knowledge to an industrial project.
This course is organized as a comprehensive examination on the combination of program required core courses and required specialization courses in the MSE program:
The faculty adviser and graduate student discuss the plan and design a case study that is related to the topics in the combination of these areas: Advanced Manufacturing Systems, Materials and Processes, and Quality and Management.
Students will apply the knowledge and engineering approaches they have learned from the program courses taken to present appropriate solutions and corrective actions to manage the case study/project. The assignment can be, but not limited to a case study, a new approach, or a theoretical study. During the semester, it is required that students discuss and submit progress reports before present their final reports/answers at the end of the semester. The faculty adviser review these progress reports and suggest constructive comments to direct students to achieve the case study/project objectives.
TOTAL UNITS REQUIRED FOR THE M.S DEGREE: 33 UNITS
The development of the Boeing Automation Engineering Laboratory was initiated in the mid-1980s. Continuing hardware and software improvements have been facilitated by major industry contributions. Laboratory equipment include a complete CIM systems, as well as CNC lathes and milling machines, plus rapid prototyping capability. Software available in supporting computing areas include Solidworks, AutoCAD, CATIA, Master CAM, APT, and Simprocess.
Research topics pursued since the early 1990s have included:
- Subpixel edge estimation in machine vision.
- Flight test environment expert system applications
- Remote control of industrial robots via the Internet
- Integration of limited automation into existing manufacturing
- Selective assembly using high precision robotics
- Data integrity in CAD/CAM systems CIM-oriented CAD systems
- Database modeling for design and manufacturing environments