MS Program in ISE


The MS program has been offered since 1984 and its requirement is thirty (30) credit hours. The thirty credit hours consists of twenty-four (24) credits for course work and six (6) credits for the thesis. Nine credit hours are core courses, and the rest fifteen credit hours are electives. Students are allowed to take up to six (6) credit hours from the fifteen electives credit hours, from other relevant engineering disciplines. Also, in rare circumstances students can take at most two courses from senior level to fulfil elective courses requirements.


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:

  1. Statistics and probability equivalent to ISE 325 and ISE 320.
  2. Operations research equivalent to ISE 303.
  3. 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 Master of Science (MS) requirement is thirty 30 credit hours that include twenty-four (24) credit hours of course work and six (6) credit hours of thesis work. The course work for the MS in ISE is structured as follows:

Core courses:

  1. ISE 503 Linear Programming and Applications
  2. ISE 502 Probabilistic Modeling in ISE
  3. ISE 508 Advanced Production Systems and Inventory Control

In addition to the above three required core courses, students pursuing MS in ISE are required to conduct their thesis in the ISE area and take at least nine (9) credits from the ISE listing and at least six (6) credit hours from them should be taken from list 1 below designated as ISE core areas listing. The six (6) credit hours left are free technical electives to be taken from courses with the prefix shown in list 2. Table 7 summarizes the course requirements for the MS in ISE program.

List 1: ISE core areas listing

ISE 512 Advanced Supply Chain Modeling

ISE 521 Non-Linear Programming & Applications-1

ISE 534 Advanced Quality Control

ISE 535 Designs of Experiments

ISE 536 Human Factor Engineering

ISE 543 Stochastic Processes-1

List 2: Technical electives list

  1. SCE 5XX
  2. ME 5XX
  3. MSE 5XX
  4. CHE 5XX
  5. EE 5XX
  6. CE 5XX
  7. MATH 5XX
  8. STAT 5XX
  9. CHEM 5XX
  10. ICS 5XX
  11. SWE 5XX
  12. COE 5XX
  13. 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 3: Improve systems productivity and quality.
  • Outcome 4: Conduct literature review, research specific topics and develop a cohesive approach to analyze and solve a specific decision problem.

Program Requirements