MS with Thesis
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
Applicants must have B.S. or B.A. degrees preferably in engineering or in sciences relevant to the particular degree program. In addition to course work, students are engaged in thesis research. Every student is supervised by an advisor. The M.S. Program with Thesis option requires that the students successfully complete a minimum of 21 credits (with 7 courses) beyond a Bachelor’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.


MS 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.