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Computer Engineering (PhD)

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

About this program

Computer Engineering (PhD)

The Ph.D. program in Computer Engineering offers to its graduate students opportunities in specializing in areas on which scientific and technological advances has increased recently, such as software engineering, algorithm analysis and design, parallel programming, computer networks, mobile applications and web services.

Why Computer Engineering Ph.D. Program at KHAS?

Upon the completion of the Ph.D. program, our graduates continue their careers in academia or industry, where they can tackle open and challenging problems in computer science and engineering, equipped with a research- as well as application-oriented background which covers the sub-disciplines of computer engineering widely and their own specialization area deeply.

Find out more about Computer Engineering (PhD) by filling in your details and the school will contact you.

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 appliants 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
  • Free Elective
  • Research Methods and Scientific Ethics
  • Seminar
  • Field Elective
  • Field 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
  • 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
  • Deep Learning
  • 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
  • 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
  • Special Topics in Financial Engineering I
  • Special Topics in Financial 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 in Computer Engineering (The Qualifications Frameworks in the European Higher Education Area (QF-EHEA): Level 3, European Qualifications Framework (EQF): Level 8).

Program outcomes

  1. Ability to understand and apply science, mathematics and computer science at an advanced level
  2. Comprehensive, deep and wide knowledge on recent developments in computer engineering and computer science
  3. Ability to conduct research by reaching and comprehending latest information in her/his specialization area
  4. Ability to conduct research that results in an original contribution to science or technology, develops new scientific method or technological product/process, or applies a known method to a new area
  5. Ability to perceive, design, apply and conclude original processes of research independently; ability to manage these processes
  6. Ability to contribute to scientific literature at an international level by publishing the outputs of academic studies in respected academic media
  7. Ability to assess scientific, technological, social and cultural developments and to disseminate them respecting scientific neutrality and ethic responsibilities.
  8. Ability to critically analyse, synthesize and interpret ideas and developpments in computer engineering and computer science
  9. Ability to communicate at an advanced level in written, oral or visual forms with specialists of computer engineering and other dicsiplines, or wider circles; ability to use English at level C1 of 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 areas such as computer engineering and computer science 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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