PhD
Profitable design and operation of modern industrial systems requires integration of human, material, equipment and financial resources. In recent years this integration has become tighter due to the inclusion of information technology, and resulted in more complex systems. Industrial Engineering research focuses on quantitative analysis, synthesis and management of such complex systems. The affiliated faculty members come from the Industrial Engineering department of the College of Engineering, the Operations and Information Systems group of the College of Administrative Sciences and Economics, and other related fields.  Our research areas are diverse, including Logistics, Supply Chain Management, Service Operations, Production Systems, Stochastic Processes, Financial Engineering, Mathematical Programming, Data Mining and Bioinformatics.  The programs are built on the basic methodologies of operations research and their applications in manufacturing, distribution and service industries.  Graduates of the M.Sc. program have been placed in respectable Ph.D. programs in North America, Europe and Turkey as well as various professional positions in industry. 

Degree Requirements
Students can apply to the Ph.D. programs with a B.S. or M.S. degree. The Ph.D. degree requires successful completion of 14 courses within 3 years and take the Qualifying Examination within 7th semester at latest beyond the B.S. degree and 7 courses within 2 years and take the Qualifying Examination within 5th semester at latest beyond the M.S. degree. In addition to the credit courses, students must complete the non-credit courses; INDR 590 Seminar, ENGL 500 Graduate Writing and TEAC 500 Teaching Experience.

Curriculum

All Ph.D. students have to take at least 7 courses out of the courses listed below to complete at least 21 credits. The students who are accepted only with a B.S. have to take at least 7 additional courses to earn at least 21 additional credits.

The curriculum of each student will be determined by his/her program advisor. All courses have 3 credits unless specified.

Students with a B.S. or M.S. degree in Industial Engineering, Business Administration, Economics and Mathematics or any related area can apply to the Ph.D. program in IEOM.

The following courses are required for Ph.D. students:

  • INDR 551 Advanced Optimization Methods
  • INDR 553 Advanced Stochastic Methods

Depending on their background, students might be asked to take the required courses of the “M.S. in Industrial Engineering” program in addition to the following courses:

  • INDR 501 Optimization Models and Algorithms
  • INDR 503 Stochastic Models and Their Applications

Moreover, Ph.D. students can take any of the courses listed under the “M.S. in Industrial Engineering” program in addition to the following courses:

  • INDR 560 Large Scale Optimization
  • INDR 564 Dynamic Programming
  • INDR 570 Queueing Theory
  • INDR 572 Reliability Theory
  • INDR 574 Stochastic Models in Financial Engineering
  • INDR 576 Inventory Control Theory
  • MATH 503 Applied Mathematics
  • MATH 504 Numerical Methods I
  • MATH 506 Numerical Methods II
  • MATH 531 Real Analysis I **
  • MATH 532 Real Analysis II **
  • MATH 544 Stochastic Processes and Martingales **
  • MATH 545 Mathematics of Finance **
  • MECH 531 Modern Control Systems
  • MECH 534 Computer Based Simulation and Modeling
  • MECH 543 Computer Integrated Manufacturing and Automation
  • CMSE 501 Introduction to Computational Science

** These courses are 4 credits.

Students who have TA assignments must take TEAC 500: Teaching Experience during the semesters of their assignments. Students must also take ENGL 500: Graduate Writing course.