Computer Engineering Master’s Department (English) – About
Given the advancing technology, developments in fields such as artificial intelligence, robotics, brain-computer interface studies, bioinformatics and data mining, increase the need for Computer Engineer experts with theoretical and practical knowledge.
What is Computer Engineering Master’s Program (English)?
In today’s world, the fact is that information and technology is a part of our lives. Interdisciplinary studies gain importance all over the world has caused the importance of studies in computer engineering to increase rapidly. Developments in software development methods, hardware technologies, health informatics, robotics, artificial intelligence technologies, neuroscience and data mining speed up the developments in computer engineering.
Therefore, specialized computer engineers who are able to follow the English literature are needed in every sector of technology and informatics. The aim of Computer Engineering (English) with Thesis / Non-Thesis to educate researchers who have the theoretical and practical knowledge related to the field, have the ability to follow the English resources and developments in the field simultaneously with the rest of the world, is equipped in designing, to develop and ensure the security of information systems, to have advanced problem-solving skills and to be focused on the application.
Who can apply?
Graduates of the Faculty of Engineering, Mathematics and Computer Science, Statistics, Physics, Chemistry, Biology, Astronomy and Space Sciences and similar Science-Mathematics Science and Teaching Undergraduate Programs graduates can apply. Candidates who have received their undergraduate degree in a different field from Computer Engineering and Software Engineering will participate in the Scientific Preparation Program to be determined by the Department of Computer Engineering and the Board of Directors of the Institute. The Scientific Preparation Program should be completed in a maximum of 2 semesters.
What are the application requirements?
Candidates who apply for this program must have a score of 55 or above from the Academic Personnel and Graduate Education Entrance Exam (ALES). Candidates who score at least an ALES score in the Graduate Record Examination (GRE), which is considered equivalent to the LES exam by the Interuniversity Board, are also considered. In admission to graduate programs; the ALES score (50%), undergraduate grade point average (30%) and interview (20%) is sorted by the sum of the scores.
English proficiency certificate is required for graduate programs in English. For programs conducted in English or another foreign language, the foreign language proficiency level and other criteria suggested by the relevant Institute Executive Board and approved by the Senate are announced to the candidates. Prospective students can meet the English entrance requirement by taking TOEFL IBT, YDS, e-YDS or the English Proficiency Exam organized by Üsküdar University during certain periods of the year.
What are the compulsory and elective courses?
The number of courses to be taken in the Scientific Preparatory Program is 6 and the total number of credits is 18. Master's program with Thesis consists of at least 7 courses, 1 seminar course and thesis study, which corresponds to a total of 21 credits. Seminar course and thesis work are non-credit and considered as successful or unsuccessful. The master's program with thesis consists of at least 8 courses including a seminar course and a minimum of 120 ECTS credits, including a minimum of 60 ECTS credits per semester. Up to two of the courses that the student will take can be selected from undergraduate courses provided that they are not taken during undergraduate education.
In the Non-Thesis Master's program, there are at least 10 courses with a total of 30 credits and not less than 60 ECTS. The student is obliged to register for the term project course and submit a written project and/or report at the end of the semester. The term project course is non-credit and the evaluation is done as successful or unsuccessful. A maximum of three courses can be selected from undergraduate courses provided that they are not taken during undergraduate studies.
What courses are taken in Computer Engineering Master’s Program?
In order to closely follow and direct the rapidly developing information technologies, the Computer Engineering Master's program offers compulsory courses for students to learn the basic information and elective courses related to the field they want to study. These courses include data communication and computer networks, algorithms, data and network security, artificial intelligence and applications, digital image processing, cryptography, cybersecurity, software engineering, computer image processing, bioinformatics, brain-computer interfaces, robotics and mobile application development.
What are the occupational areas of Computer Engineering Master’s Program Graduates?
Computer Engineering graduates have a wide range of occupational areas. These include health institutions or organizations, defence industry, state banks and private banks, various ministries and their affiliated units, retail sector, transportation sector, aviation sector, universities, especially the entire education sector, press organizations, multimedia, computer games and application development organizations. The language of instruction is English. The fact that the language of instruction is English makes it easier for graduates to find jobs in international fields and provides competence in writing and reading academic publications. In summary, there are job opportunities in the public and private sectors in every field that the need for computer engineering is increasing rapidly.
ÜSKÜDAR UNIVERSITY | ||||||
MSc PROGRAM IN COMPUTER ENGINEERING | ||||||
WITHOUT THESIS COURSE LIST | ||||||
FIRST TERM | ||||||
Code | Course Name | Type | T | P | C | ECTS |
COME511 | Advanced Algorithms | C | 3 | 0 | 3 | 8 |
COME513 | Advanced Computer Network | C | 3 | 0 | 3 | 8 |
COMEXXX | Elective Course-I | E | 3 | 0 | 3 | 8 |
COMEXXX | Elective Course-II | E | 3 | 0 | 3 | 8 |
32 | ||||||
SECOND TERM | ||||||
Code | Course Name | Type | T | P | C | ECTS |
ENS501 | Scientific Research Methods and Research Ethics | C | 3 | 0 | 3 | 6 |
COMEXXX | Elective Course-III | E | 3 | 0 | 3 | 8 |
COMEXXX | Elective Course-IV | E | 3 | 0 | 3 | 8 |
COMEXXX | Elective Course-V | E | 3 | 0 | 3 | 8 |
30 | ||||||
THIRD TERM | ||||||
Code | Course Name | Type | T | P | C | ECTS |
COMEXXX | Elective Course-VI | E | 3 | 0 | 3 | 8 |
COMEXXX | Elective Course-VII | E | 3 | 0 | 3 | 8 |
COMEXXX | Elective Course-VIII | E | 3 | 0 | 3 | 8 |
24 | ||||||
FOURTH TERM | ||||||
Code | Course Name | Type | T | P | C | ECTS |
COME593 | Graduation Project | C | 0 | 0 | 0 | 30 |
PREREQUISITED COURSES FOR OTHER FIELDS - FIRST TERM | ||||||
Code | Course Name | Type | T | P | C | ECTS |
COME 505 | Algorithms and Programming | C | 2 | 2 | 3 | 5 |
COME 507 | Computer Communications | C | 3 | 0 | 3 | 5 |
COME509 | Computer Structures | C | 3 | 0 | 3 | 5 |
PREREQUISITED COURSES FOR OTHER FIELDS - SECOND TERM | ||||||
Code | Course Name | Type | T | P | C | ECTS |
COME504 | Discrete Structures | C | 3 | 0 | 3 | 5 |
COME506 | Data Structures and Algorithms | C | 2 | 2 | 3 | 5 |
COME508 | Operating System Design | C | 3 | 0 | 3 | 5 |
ELECTIVE COURSES | ||||||
Code | Course Name | Type | T | P | C | ECTS |
COME512 | Advanced Database Design | E | 3 | 0 | 3 | 8 |
COME514 | Artificial Intelligence and Applications | E | 3 | 0 | 3 | 8 |
COME515 | Advanced Topics in Data Mining | E | 3 | 0 | 3 | 8 |
COME516 | Advanced Software Engineering | E | 3 | 0 | 3 | 8 |
COME517 | System Science and Engineering | E | 3 | 0 | 3 | 8 |
COME518 | Statistical Analysis Methods and Applications | E | 3 | 0 | 3 | 8 |
COME519 | Data and Network Security | E | 3 | 0 | 3 | 8 |
COME520 | Advanced Machine Learning | E | 3 | 0 | 3 | 8 |
COME521 | Natural Language Processing | E | 3 | 0 | 3 | 8 |
COME522 | Digital Image Processing | E | 3 | 0 | 3 | 8 |
COME523 | Special Topics in Computer Engineering | E | 3 | 0 | 3 | 8 |
COME524 | Human Computer Interaction | E | 3 | 0 | 3 | 8 |
COME525 | Artificial Neural Networks | E | 3 | 0 | 3 | 8 |
COME526 | Digital Signal Processing Applications | E | 3 | 0 | 3 | 8 |
COME527 | Wireless Network Protocols | E | 3 | 0 | 3 | 8 |
COME528 | Advanced Parallel Processing | E | 3 | 0 | 3 | 8 |
COME529 | Embedded Systems in Real Time Applications | E | 3 | 0 | 3 | 8 |
COME530 | Bioinformatics | E | 3 | 0 | 3 | 8 |
COME531 | Advanced Robotics | E | 3 | 0 | 3 | 8 |
COME532 | Advanced Scientific Computing | E | 3 | 0 | 3 | 8 |
COME533 | Mobile Application Development | E | 3 | 0 | 3 | 8 |
COME534 | Graph Algorithms | E | 3 | 0 | 3 | 8 |
COME535 | Modeling and Simulation | E | 3 | 0 | 3 | 8 |
COME536 | Microcontroller and Applications | E | 3 | 0 | 3 | 8 |
COME537 | Web Technologies and Programming | E | 3 | 0 | 3 | 8 |
COME538 | Cyber Security | E | 3 | 0 | 3 | 8 |
COME539 | Computer Vision | E | 3 | 0 | 3 | 8 |
COME540 | Brain Computer Interfaces | E | 3 | 0 | 3 | 8 |
COME541 | Cryptography | E | 3 | 0 | 3 | 8 |
CYS507 | Computer Forensics | E | 3 | 0 | 3 | 8 |
CYS517 | Penetration Testing and Vulnerability Analysis | E | 3 | 0 | 3 | 8 |
Student Admission Stipulations to the Program
a) In order to apply for a master's degree program, candidates must have a bachelor's degree. The equivalence of undergraduate diplomas obtained from abroad must be approved by the Higher Education Council.
b) Graduates of undergraduate programs that accept students of the numerical weighted score type will be able to apply to the program in the university exam. Candidates who have received their bachelor's degree in Computer Engineering and Software Engineering in a different field will participate in the Scientific Preparatory Program determined by the Department of Computer Engineering and the Board of Directors of the Institute.
c) Candidates applying for the master's degree must have received at least 55 points from the Academic Staff and Graduate Education Entrance Exam (ALES). Candidates who receive at least a score equivalent to the ALES exam are also evaluated in the "Graduate Record Examination" (GRE) exam, which is considered the equivalent of the LES exam by the Intercollegiate Board. Student admission to graduate programs; ALES score, undergraduate grade point average and interview result are evaluated.
d) Taking into account 50% of The ALES score in the evaluation, 20% of the undergraduate grade point average and 30% of the interview result, the department's academic board proposal and the decision of the board of directors of the institute are sorted from high to low.
e) English proficiency certificate is sought for English master's programs. For programs conducted in English or other foreign languages, foreign language proficiency level and other criteria proposed by the board of directors of the relevant institute and approved by the Senate and announced to candidates are sought. Prospective students can take the English Proficiency Exam organized by TOEFL IBT, YDS, e-YDS or Uskudar University at certain times of the year.
f) Candidate, YDS, e-YDS, YÖKDİl at least 65 points out of 100 full points, at least 65 points from The EU, at least 78 points from TOEFL IBT.
g) Applications to graduate programs in a foreign language do not require foreign language proficiency in candidates who have a bachelor's degree and/or master's degree in a country with a native language program language or a parent language program language.
h) According to the score taken from the foreign language proficiency and/or level determination exam, it is determined whether the student is exempt from the foreign language preparatory class and the level at which he will study in the foreign language preparatory class.
Benin country is not on the exempt country list for Turkey visa, so Turkey visa is REQUIRED
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