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 are available from the following
link:
Information for the MS students
(In Turkish)
:: 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 578 Graduate Seminar I
- IE 505 Stochastic Processes and Applications
- IE 508 Statistical Inference
- IE 579 Graduate Seminar II
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
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IE 502 Optimization Techniques II |
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IE 506 Statistical Data Analysis |
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IE 510 Simulation Modeling |
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IE 514 Nonlinear Programming |
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IE 515 Graphs and Network Flows |
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IE 516 Combinatorial Optimization |
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IE 517 Heuristic Methods in
Optimization |
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IE 530 Mathematical Modeling |
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IE 544 Decision Analysis |
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IE 550 Dynamics of Socio-Economic
Systems |
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IE 605 Advanced Stochastic
Processes |
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IE 608 Mathematical Statistics |
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IE 611 Integer Programming |
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IE 612 Dynamic Programming |
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IE 613 Large Scale Programming |
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IE 625 Queuing Theory |
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IE 642 Markovian Decision Processes |
:: Manufacturing/Production
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IE 520 Quality Management |
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IE 523
Design of Production Systems |
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IE 524 Planning of Production
Systems |
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IE 542 Manufacturing Information Systems |
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IE 546 Competitive Models in Supply
Chain Management |
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IE 54X Manufacturing Systems
Engineering |
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IE 593 Sp. Topics in
Engineering of Human Work |
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IE 597 Sp. Topics in Industrial
Ergonomics |
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IE 621 Inventory Control Theory |
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IE 622 Reliability Theory &
Applications |
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IE 624 Scheduling and Sequencing |
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IE 628 Advanced Production Systems |
:: Systems Modeling and Analysis
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IE 510 Simulation Modeling |
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IE 530 Mathematical Modeling |
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IE 533 Systems Theory |
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IE 544 Decision Analysis |
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IE 550 Dynamics of Socio-Economic Systems |
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IE 593 Sp. Topics in
Engineering of Human Work |
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IE 597 Sp.
Topics in Industrial Ergonomics |
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IE 602 Dynamic Systems Modelling and Analysis |
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IE 621 Inventory Control Theory |
:: Financial Engineering
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AD 516 Derivative Securities and Markets |
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AD 517 Investment Analysis and Portfolio Management |
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AD 570 Topics in Financial Management and Accounting |
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IE 510 Simulation Modeling |
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IE 534 Stochastic Models in
Finance |
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IE 536 Computational Methods in
Finance |
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IE 586 Quantitative Finance |
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IE 590 Econometric Modeling of Financial Time Series |
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IE 591 Introduction to Financial Engineering |
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IE 593 Cases in Financial Engineering |
:: Non-thesis Graduate Programs
The Department supports the following non-thesis inter-disciplinary graduate programs.
