M.Eng. in Manufacturing Engineering
Master of Engineering in Manufacturing Engineering
Program Components
Two major curricular/program components distinguish the Master of Engineering degree from the Master of Science degree:
1. No professional paper or thesis is required for the M. Eng.
M. Eng. students are likely to either be practicing engineers or continuing students who wish to acquire credits required for professional licensure. In the first case, the students have experience in practical engineering and the concepts involved in a capstone experience. In the latter case, all senior engineering students at Montana State University have completed a senior design project that is of the same depth as most professional papers, and this is also true of practically all accredited undergraduate engineering programs. Eliminating the thesis or professional paper requirement provides students the opportunity for more coursework in an area of interest.
2. The M. Eng. has no comprehensive examination.
Because this is a courses-only degree that requires students to maintain a 3.0 GPA, there will be no further proof of proficiency. The intent is to provide education for practicing professionals. Students will be supervised by an option coordinator, not by a three-member committee typical for M.S. degrees.
General Requirements
- 30 credits total
- At least 21 of the total credits required for degree must be at 5xx level
- 3xx level courses are not allowed
- 4xx level courses may be used (maximum allowed is 9 credits)
- Courses with grades below C cannot be used to satisfy graduation requirements
- Three credits (min.) registration required during term of graduation
- A maximum of three credits of individual problems courses (592/575/598) are allowed
Course Requirements
| Required Courses | (12 credits) | |
| The following courses are required for every MEng-Manufacturing Engineering student: | ||
| EMAN 501 | Principles of Manufacturing | 3 |
| EMAN 525 | Manufacturing Management Systems | 3 |
| Elective courses identified by the Advisor | 6 | |
| Approved Elective Courses: | (18 credits) | |
Manuacturing Engineering (only one of these options is allowed): | ||
| Research or Prof Paper/Project (Research or Project/Paper) | ||
| Independent Study (Independent Study) | ||
| Internship (Internship) | ||
Mechanical Engineering Technology: | ||
| Computerized Numerical Control and Computer-aided Manufacturing Technology | ||
| Design for Manufacturing and Tooling | ||
| Industrial Processing Automation and Controls | ||
Industrial Engineering: | ||
| Industrial Internet of Things | ||
| Technology Entrepreneurship | ||
| Project Management for Engineers | ||
| Facility and Material Handling Systems Design | ||
| Production & Engineering Mgmt | ||
| Applied Statistical Quality Control | ||
| Engineering Organizational Change and Innovation | ||
| Systems Simulation | ||
| Advanced Human Factors | ||
| Human Factors in Complex Systems | ||
| Multi-Criteria Decision Making and Optimization | ||
| DOE for Engineers | ||
| Regression & Multivar Analysis | ||
| Manage Forecast & Dec Analysis | ||
| Management Engineering Systems | ||
Mechanical Engineering: | ||
| Mech Behavior of Materials | ||
| System Dynamics and Control | ||
| Micro-Electromechanical Systems | ||
Electrical Engineering: | ||
| Intro To Microfabrication | ||
| Photovoltaic Systems | ||
| EE Material Science | ||
| Intro to Modern Control | ||
| MEMS Sensors and Actuators | ||
Materials Engineering: | ||
| Manufacturing of Composites | ||
| Composite Materials | ||
| Biomedical Materials Engineering | ||
| Failure of Materials | ||
| Advanced Ceramics | ||
| Advanced Composite Materials | ||
| Polymeric Materials | ||
General Engineering: | ||
| Advanced Engineering Analysis | ||
Engineering Mechanics: | ||
| Finite Elem Analys in Engr | ||
Chemical Engineering: | ||
| Chemical Engineering Process Dynamics and Control | ||
| Reaction Engineering/Modeling | ||
Computer Science: | ||
| Computer Graphics | ||
| Artificial Intelligence | ||
| Machine Learning | ||
| Embedded Systems: Robotics | ||
| Advanced Artificial Intelligence | ||
| Advanced Machine Learning | ||
| Total Credits | 30 | |
Program Learning Outcomes
- Demonstrate an advanced level of proficiency in current / evolving manufacturing technologies, including: additive manufacturing, integrated product and process design, quality management, lean manufacturing, industrial automation and controls, information technology management, and complex systems management.
- Demonstrate an ability to identify, formulate and solve complex manufacturing problems by selecting and applying appropriate advanced manufacturing tools and techniques.
- Demonstrate an ability to design and conduct experiments and measurements, to analyze and interpret data, and to apply experimental results to improve systems, components, or processes appropriate to the discipline.
- Demonstrate an ability to incorporate business, financial and management tools to improve manufacturing processes.