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Industrial Engineering (PhD)

Kadir Has University
2 years
Full time
Doctorate / PhD
Scholarships available

About this program

Industrial Engineering (PhD)

The Ph.D. program in Industrial Engineering is started in the 2015-2016 academic year in addition to the existing master’s program. The contemporary areas of study in this program include production planning and inventory control, supply chain management, optimization, engineering economy and cost analysis, energy economics, electricity market analysis, disaster management and transportation, financial engineering and applications, optimization in health care systems, and decision support systems.

The requirements for a Ph.D. degree include 21 credits of coursework in the basic disciplines, a non-credit seminar, passing a qualifying examination in the field of specialization, proposing and completing a dissertation, and a successful defense of the dissertation.

Why should I choose this program?

Industrial Engineers strive for designing, developing, management, and sustainability of systems in which resources such as raw materials, information systems, energy resources, capital investment, equipment, work force, and time are utilized in coordination. Therefore, Industrial Engineers must be individuals who have coordination capabilities, systematic point of view, analytical and quantitative skills, and who are resourceful life-long learners.

The increasing population and demand despite the scarce resources requires the efficient use of these resources. The recent developments in communication and globalization enabled the demand and supply to be internationally accessible. An increasing number of studies on the efficient use of available resources have been carried out in Industrial Engineering in accordance with to the motto that ”Engineers make things, Industrial Engineers make things better.” Industrial Engineers work in improvement of for-profit systems with the goal of producing high quality outputs at low cost by utilizing the inputs efficiently and excel in areas such as development of alternative production policies and coordination of interdisciplinary projects. The relevance of this discipline in various industries results in high employment rates for Industrial Engineering graduates, especially in management roles.

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Admission requirements

The applicants of the program are required to have scored at least 55 in the quantitative section of Academic Personnel and Graduate Education Entrance Examination (ALES) and in the Interuniversity Council Language Examination. For the applicants holding only B.S. degrees a G.P.A. of 3.00/4.00 and ALES (quantitative) score of at least 80 are required. ALES score requirement is not applicable to international students. International language examination (TOEFL, IELTS, etc.) scores are acceptable for all applicants according to the equivalencies as imposed by the regulations of the Higher Education Council. The applicants fulfilling these requirements are further interviewed

For more information about admission requirements, please visit the website.

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Program content

Year 1

  • Field Elective
  • Field Elective
  • Field Elective
  • Field Elective
  • Research Methods and Scientific Ethics
  • Seminar
  • Field Elective
  • Free Elective
  • Free Elective

Year 2

  • Ph.D Comprehensive Exam
  • Ph.D Thesis

Elective courses

  • Advanced Software Engineering
  • Web Services
  • Safety Critical Computer Systems
  • Distributed Operating Systems
  • Computational Geometry
  • Computer Networks
  • Bioinformatics Algorithms
  • Design and Analysis of Algorithms
  • Information Technologies Governance
  • Neural Networks and Fuzzy Systems
  • Business Intelligence and Data Warehousing
  • Parallel and Distributed Computing
  • Data Mining
  • Data Science and Analytics
  • Theory of Computation
  • Mobile Application Development
  • Application Development in SOA
  • Parallel Programming
  • Special Topics in Computer Engineering I
  • Special Topics in Computer Engineering II
  • Directed Research
  • Cryptology
  • Design of Real-Time Software Systems
  • Network Management
  • Software Quality Assurance
  • Wireless Networks and Mobile Computing
  • Graph Algorithms
  • Machine Learning
  • Advanced Bioinformatics
  • Special Topics in Computer Engineering I
  • Special Topics in Computer Engineering II
  • Special Topics in Computer Engineering III
  • Special Topics in Computer Engineering IV
  • Special Topics in Computer Engineering V
  • Probability and Stochastic Processes
  • Linear Systems
  • Digital Communication
  • Wireless Communications
  • Wireless Networks
  • Statistical Signal Processing
  • Advanced Signal Processing
  • Ultra-wide band Communication Systems
  • Advanced Computational Intelligence
  • Microwave Technics
  • Optimal Control
  • Digital Control
  • Special Topics in Electronics Engineering I
  • Advanced Signal Processing Techniques
  • Adaptive Signal Processing
  • Estimation Theory
  • Error Correcting Codes
  • Wireless Network and Mobile Systems
  • Statistical Signal Processing in Communications
  • Pattern Recognition
  • Microwave Circuit Design
  • Microwave Circuit Design
  • Stochastic Systems and Control
  • Special Topics in Electronics Engineering I
  • Special Topics in Electronics Engineering II
  • Management of Technology and Innovation
  • Engineering Project Management
  • Engineering Optimization and Applications
  • Advanced Topics in Quality Control
  • Advanced Production Planning and Control
  • Financial Management
  • Logistics and Supply Chain Management
  • Human Factors Engineering
  • Total Quality Management and Quality Systems
  • Human Resources Management
  • Lean Manufacturing
  • Advanced Engineering Economy
  • Network Flows and Algorithms
  • Special Topics in Industrial Engineering (OR/MS Apllications in Healthcare) (U+G)
  • Network Economics Equilibrium Models and Algorithms
  • Multiobjective Optimization and Evolutionary Algorithms
  • Advanced Engineering Optimization and Applications
  • Advanced Engineering Economics
  • Operations Research and Management Science Applications in
  • Healthcare
  • Spreadsheet Based Decision Modelling
  • Advanced Systems Simulation
  • Manufacturing Systems Management
  • Advanced Topics in Network Flows and Algorithms

Scholarships & funding

For more information about scholarship options, please visit the website.


$12,000 per year


Upon successful completion of the program, students will be awarded with Doctor of Philosophy (PhD) in Industrial Engineering.

Program outcomes

  1. Ability to understand and apply basic sciences, mathematics and industrial engineering methods at a high level
  2. Extensive and in-depth knowledge on the latest developments in industrial engineering
  3. Ability to reach the latest knowledge in the field of specialization
  4. Ability to conduct comprehensive studies that bring innovation to science or technology, develop a new scientific method or technological product / process, or apply a known method to a new field
  5. To be able to perceive, design, implement and finalize the original research processes independently; ability to manage these processes
  6. Ability to contribute to scientific literature at international level by publishing the outputs of his academic studies in respectable academic settings.
  7. Ability to transfer scientific, technological, social and cultural developments to the society with the awareness of professional and ethical responsibility
  8. Ability to critically analyze, analyze and evaluate the ideas and developments in the field of Industrial Engineering
  9. To be able to communicate in written, oral and visual with experts and wider communities in industrial engineering and other fields, to use English at least at European Language Portfolio

Continuing studies

This program is at the top level of the National Qualifications Framework for Higher Education in Turkey. Hence, access to any upper level of study is not possible.

Career paths

The graduates are employed in companies, universities and institutes where advanced projects, research, and education an area such as ındustrial engineering and related work are conducted.

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About this institute

Kadir Has University

Kadir Has University, one of the oldest foundation universities in Turkey, is located in the heart of Istanbul. The university with 5 Undergraduate faculties and School of Graduate Studies, is dedicated to becoming a leader in Turkish higher education and...

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Contact info

Kadir Has University

Cibali Mahallesi
Kadir Has Caddesi, Fatih
34083 Istanbul

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