Manufacturing Engineering Technology--Master of Science

Mission

The mission of the Manufacturing Engineering Technology Master of Science Degree program is to produce engineering graduates with an advanced technical education that allows them to take on leadership roles in globally competitive manufacturing industries.

Educational Objectives

The educational objectives of the program are to:  

• Provide manufacturing and non-manufacturing engineers with advanced technical and managerial skills that allow them to be the leaders in manufacturing industries.
• Expand graduates' expertise through industry-based applied research, lab-based design and analysis.
• Strengthen graduates' ability to work productively in a global manufacturing environment.

Expected Student Learning Outcomes

The graduates of the Master of Science Degree program in Manufacturing Engineering Technology will demonstrate:

• The ability to solve engineering problems using advanced mathematical, computational, and analytical methods appropriate to the discipline.
• The ability to improve current manufacturing processes using a variety of techniques including product life cycle management, quality and inventory control and planning techniques.
• The ability to understand, analyze and improve manufacturing practices through the use of current computer tools for product/process design, analysis and fabrication.
• The ability to plan and conduct professional activities (including manufacturing projects) in one or more areas of specialization in the discipline by using advanced knowledge.
• Knowledge related to leadership and global awareness.
• The ability to communicate effectively in both written and oral forms.

Curriculum

The curriculum for the Master of Science degree can be found under Program Requirements on the program's web page on the OIT web site.

Summary of Student Learning Outcomes

During the 2007-08 academic year, the program faculty formally assessed the student learning outcomes summarized below.  Additional details can be found in the attached assessment report and in department assessment records.

Student Learning Outcome #1: Ability to solve engineering problems using advanced mathematical,  computational, and analytical methods appropriate to the discipline.

Strengths: The students demonstrated proficiency or higher in computation accuracy, use of control charts to address quality problems, use of statistical equations to solve quality problems, basic concepts about quality issues, ability to state the problem, ability to use theoretical principles, ability to apply mathematical techniques, ability to apply current computational hardware and software to tasks requiring data acquisition and analysis, ability to relate theoretical concepts requiring mathematical analysis to practical problems, and ability to use real-world data to derive physical constants of the system from which a mathematical model can be constructed.

Areas needing improvement: None at this time.

Student Learning Outcome #6: Ability to communicate effectively in both written and oral forms.

Strengths:  Students demonstrated proficiency or higher in writing a clear and concise project summary, including explanation of the issues and methodologies to solve the issues, writing a clear and concise conclusion, knowledge of subject, presentation organization, delivery and discussion.

Areas needing improvement: None at this time.