UNIVERSITY CATALOG: 2023-2024

Program: Minor in Manufacturing Systems Engineering

Program Description

Almost half of all engineering positions are in or related to manufacturing. This minor is designed to augment undergraduate studies in engineering and closely related fields to facilitate student opportunities for achievement in a manufacturing environment. Some students may find it necessary to complete selected prerequisite courses in mathematics, chemistry, physics and/or engineering.

Note: The minor cannot be taken by students who major in EM in the MSEM Department. It can only be taken by students outside the MSEM Department.

Program Requirements

1. Required Courses (12 units)

MSE 362 Engineering Statistical Applications (3)
MSE 407 Manufacturing Systems (3)
MSE 409/L Fundamentals of Computer-Aided Manufacturing and Lab (2/1)
MSE 412/L Manufacturing Processes and Lab (2/1)

2. Elective Courses (6 units)

Each student must complete two courses selected from the list provided below. In some circumstances, other elective selections may be suitable when approved in advance by the Department.

MSE 402 Engineering Project Management (3)
MSE 403CS Facilities Planning and Design (3)
MSE 410/L Manufacturing Systems Modeling and Lab (2/1)
MSE 415 Product Design (3)

Total Units in the Minor: 18

Contact

Department of Manufacturing Systems Engineering and Management
Chair: John Pan
Jacaranda Hall (JD) 4510
(818) 677-2167
msem@csun.edu

Program Learning Outcomes

Students receiving a minor in Manufacturing Systems Engineering will be able to:

  1. Understand the behavior and properties of materials as they are altered and influenced by processing in manufacturing.
  2. Understand the design of products, and the equipment, tooling and environment necessary for their manufacture.
  3. Understand the creation of competitive advantage through effective management of contemporary manufacturing enterprises.
  4. Apply advanced methods to the analysis, synthesis and control of manufacturing systems.
  5. Measure manufacturing process variables and draw credible technical inferences.