Program Learning Outcomes
After successfully completing the requirements of the Master of Science in Industrial Engineering, students will be able to:
- Summarize and synthesize state-of-the art knowledge in a selected topic in the field of Industrial and Manufacturing Engineering.
- Apply scientific methods to investigate industry-driven research projects (problem articulation; hypothesis formulation; data collection, management, and analysis; implementation and dissemination of results).
- Make data-driven engineering decisions.
- Communicate appropriate information in both written and oral format, based on the audience setting and audience’s background.
- Work productively, respectfully, and professionally as a member of a team; exhibit leadership, ethical conduct, and community values.
The MS IE program has flexible curriculum allowing the student a wide choice in course selection. The program requires a minimum 45 quarter credits of course work in the 400 or 500 level. Of the 45 units, 22 are technical electives. Student can choose technical elective courses from the Industrial and Manufacturing Engineering (IME) department as well as outside the IME department. Flexibility is emphasized so that the student and his/her advisor can structure a degree plan tailored to the individual needs of the student. Only those letter-graded courses count toward satisfying the total unit requirement for the degree. Courses on a credit/no credit basis are not allowed in the formal study plan. No audit credits are permitted.
The MS IE program requires a thesis; the student’s thesis topic must be approved by his/her graduate committee, consisting of three committee members. Both an oral defense and a written thesis are required. The thesis will be reviewed by the Graduate Education Office and published at the Digital Commons.
| Required Courses | ||
| IME 503 | Applied Statistical Methods in Engineering 1 | 4 |
| IME 507 | Graduate Seminar | 2 |
| IME 556 | Technological Project Management 2 | 4 |
| IME 580 | Manufacturing Systems 3 | 4 |
| IME 599 | Thesis | 9 |
| Approved Electives | ||
| Select from the following 4, 5 | 22 | |
| Individual Study | ||
| Systems Engineering I | ||
| Systems Engineering II | ||
| Advanced Information Systems for Operations | ||
| Design of Experiments | ||
| Change Management for Engineering Leaders | ||
| Advanced Operations Research | ||
| Applied Reliability Engineering | ||
| Applied Human Factors | ||
| Advanced Topics in Engineering Economy | ||
| Advanced Topics in Simulation | ||
| Large-Scale Optimization | ||
| Network Analysis and Optimization | ||
| Predictive Data Analytics for Engineers | ||
| Selected Advanced Topics | ||
| Selected Advanced Laboratory | ||
| Engineering Entrepreneurship | ||
| Statistical Analysis of Time Series | ||
| Categorical Data Analysis | ||
| Applied Multivariate Statistics | ||
| Statistical Computing with SAS | ||
| Statistical Computing with R | ||
| Total units | 45 | |
| 1 | Students with a B+ or better grade in IME 326 or IME 327 may substitute IME 503 with another statistics related course such as IME 527, STAT 416, STAT 418, STAT 419, STAT 530, or STAT 531 upon approval of the graduate coordinator. |
| 2 | Students with a B+ or better grade in IME 303 may substitute IME 556 with another approved technical elective course. |
| 3 | Course cannot be taken by students who have already received credit for IME 410. Another course may substitute, with the approval of the graduate coordinator. |
| 4 | Students may take other 400 or 500 level courses after consultation with and approval by advisor and the graduate coordinator. |
| 5 | 400 level courses may not exceed 18 units in total. |
San Luis Obispo, California 93407