Masters Program

Master of Science in Industrial Engineering

The Department awards the degree of "Master of Science in Industrial Engineering" to eligible students who complete 24 credits in coursework and successfully defend a thesis.

Students with B.S. or B.A. degrees in Industrial Engineering or a related field can apply to the M.S. program. They are required to have at least 2.50/4.00 grade point average and to be in the top 10% or higher percentile in the Academic Staff and Graduate Education Test (ALES), or Graduate Record Examination (GRE). Applicants who pass the English proficiency test administered by Boğaziçi University, or TOEFL, or IELTS start the graduate program. Also a limited number of the students, who cannot prove English proficiency, are accepted to the English preparation class.

Rules and regulations for the M.S. program have recently changed. We will provide more information once the Senate approves new regulations. 

Degree Requirements

The Master of Science program in Industrial Engineering comprises a minimum of 24 credits of course work and a thesis. The students with IE background are expected to complete the course work in two semesters, whereas the students with a non-IE background are allowed to extend their course work to three semesters since they are required to take remedial courses . The student has a maximum of 4 semesters to complete the coursework with a grade point average of 3.00, and a maximum of 6 semesters to complete the M.S. program.

All students are required to take:

  • IE 501 Optimization Techniques 1

  • IE 505 Stochastic Processes and Applications

  • IE 508 Statistical Inference

  • IE 579 Graduate Seminar

Students with non-IE backgrounds should first complete the basic industrial engineering courses that are recommended by their advisors in their first term. This remedial term may consist of the courses such as, Operations Research, Engineering Economics, Systems Simulation, Probability for Industrial Engineers, Statistics for Industrial Engineers, Supply Chain Management, and Facilities Design & Planning.

Students choose the elective courses in accordance with their research interests. The specific interest areas in the graduate program include Operations Research, Manufacturing/Production, Systems Modeling, and Financial Engineering. When a student has completed the coursework, the thesis advisor supervises the student in writing an M.S. thesis.

:: Foundation Courses


IE 502 Optimization Techniques II


IE 506 Statistical Data Analysis


IE 510 Simulation Modeling


IE 514 Nonlinear Programming


IE 515 Graphs and Network Flows


IE 516 Combinatorial Optimization


IE 517 Heuristic Methods in Optimization


IE 518 Advanced Graph Theory


IE 530 Mathematical Modeling


IE 544 Decision Analysis


IE 550 Dynamics of Socio-Economic Systems


IE 565 Work Performance Engineering


IE 605 Advanced Stochastic Processes


IE 608 Mathematical Statistics


IE 611 Integer Programming


IE 612 Dynamic Programming


IE 613 Large Scale Programming


IE 625 Queuing Theory


IE 642 Markovian Decision Processes

:: Manufacturing/Production


IE 520 Quality Management


IE 523 Design of Production Systems


IE 524 Planning of Production Systems


IE 542 Manufacturing Information Systems


IE 546 Competitive Models in Supply Chain Management


IE 548 Stochastic Models for Manufacturing Systems


IE 54X Manufacturing Systems Engineering


IE 565 Work Performance Engineering


IE 597 Sp. Topics in Industrial Ergonomics


IE 621 Inventory Control Theory


IE 622 Reliability Theory & Applications


IE 624 Scheduling and Sequencing


IE 628 Advanced Production Systems

:: Systems Modeling and Analysis


IE 510 Simulation Modeling


IE 530 Mathematical Modeling


IE 533 Systems Theory


IE 544 Decision Analysis


IE 550 Dynamics of Socio-Economic Systems


IE 565 Work Performance Engineering


IE 597 Sp. Topics in  Industrial Ergonomics


IE 602 Dynamic Systems Modelling and Analysis


IE 621 Inventory Control Theory

:: Financial Engineering


AD 516 Derivative Securities and Markets


AD 517 Investment Analysis and Portfolio Management


AD 570 Topics in Financial Management and Accounting


IE 510 Simulation Modeling


IE 534 Stochastic Models in Finance


IE 536 Computational Methods in Finance


IE 586 Quantitative Finance


IE 590 Econometric Modeling of Financial Time Series


IE 591 Introduction to Financial Engineering


IE 593 Cases in Financial Engineering

:: Non-thesis Graduate Programs

The Department supports the following non-thesis inter-disciplinary graduate programs.