Master of Engineering (M. Eng.) in ISE
Introduction
The Master of Engineering is similar to the Master of Science except in this program students in place of the thesis do a research report that is worth three credit hours and take an extra business elective course that is worth three credit hours.
Admission
Graduates in Engineering, computer science, mathematics and related areas are eligible to apply for admission to the mater programs provided they satisfy the graduate college admission requirements. All students joining the master programs must have sufficient background in the following area:
- Statistics and probability equivalent to ISE 325 and ISE 320.
- Operations research equivalent to ISE 303.
- Production planning and control equivalent to ISE 402.
The graduate committee will ensure that admitted students satisfy these admission requirements and if a student has a deficiency he will be asked to make up for it through make-up courses.
Program Requirements
The requirement of the Master of Engineering (M. Eng.) in ISE is thirty three (33) credit hours that include thirty (30) credit hours of course work and three (3) credit hours of Master of Engineering report. The report work must be in the master core areas and graded as pass fail. The details are shown in the degree plan in section 6. The breakdown of the courses requirements is shown in Table 8 below:
Summary of course requirements for the M. Eng. in ISE:
| Category | Total Credit hours in this category | Courses |
|---|---|---|
|
Core Courses |
9 |
ISE 503, ISE 502 ISE 508 |
|
ISE courses |
6 |
ISE 512, ISE 521, ISE 534, ISE 535, ISE 536, ISE 543. |
| 6 |
Any ISE course |
|
|
Technical Electives |
6 |
Free technical electives (from list 2) |
|
Free Electives |
3 |
Business/management elective |
List 2: Technical electives list
- SCE 5XX
- ME 5XX
- MSE 5XX
- CHE 5XX
- EE 5XX
- CE 5XX
- MATH 5XX
- STAT 5XX
- CHEM 5XX
- ICS 5XX
- SWE 5XX
- COE 5XX
- PETE 5XX
Program Educational Objectives
- Lead project that improves systems productivity, quality, efficiency, and effectiveness.
- Lead projects that optimize systems.
- Assess and enhance the validity of optimization (OR models) models developed for real world problems and optimum decision making.
- Communicate at a high professional level.
Student Outcomes
Outcome 1: Present and explain standard models in ISE.
Outcome 2: Formulate OR models to address real world problems in the private and public sector.
Outcome 2: Select and use algorithms to solve ISE models.
Outcome 4: Conduct literature review and apply an existing methodology to a real-world problem.
Program Requirements
