Graduate Studies in Computer Engineering at Marmara University
We would like to invite national and international students to apply to our graduate programs in Computer Engineering. The graduate programs in Computer Engineering at Marmara University consist of high-level courses as well as research and development activities in the areas that the students want to focus on. The graduate education is exclusively in English and hence proficiency in English is required for admission to the programs.
Our aim is to have international students as well as national students in our graduate programs to facilitate international and inter-cultural interactions and experiences. In this regard, we also organize seminars given by researchers from other universities (in Turkey and abroad) and the industry to make presentations on their research and development activities.
The application requirements and student quotas for the graduate programs are determined and announced each semester by the Institute of Pure and Applied Sciences in compliance with the Marmara University Graduate Education and Examination Regulations. The applicants are assessed based on their “admission score”, which considers the ALES score, the cumulative GPA, English score, the scientific admission exam score, and an oral exam score. In addition to the application criteria of the Institute of Pure and Applied Sciences, the department determines the minimum scores required for ALES and the cumulative GPA for application.
The graduate programs are designed for graduates of Computer Engineering. Graduates of similar engineering programs are required to attend the Scientific Preparation Program for a year to take a set of prerequisite courses, which generally consists of eight courses determined by the department, considering the programs the students have graduated. The students are expected to complete the Scientific Preparation Program within a year. Depending on the transcripts of the students, they may be required to take extra three courses.
Our faculty has expertise in various areas of Computer Engineering including but not limited to, parallel and distributed computing, multi-core computing, microprocessor design and embedded systems, artificial intelligence, data mining, image and video processing, computer vision, nature-inspired computing, machine learning, pattern recognition, natural language processing, bioinformatics, computer and wireless networks, optimization and game theory. Detailed information including publications and research projects in the above areas is available on personal web pages of the faculty members.
For more information on M.Sc. programs, click here.
For more information on the PhD program click here.
The admission rules and regulations about the graduate programs are available through the link.