Third Cycle Programmes
    (Doctorate Degree)
Second Cycle Programmes
    (Master's Degree)
First Cycle Programmes
    (Bachelor's Degree)
Short Cycle Programmes
    (Associate's Degree)
 
Second Cycle Programmes (Master's Degree)

Graduate School of Natural and Applied Sciences - International Computer - Information Technologies - Second Cycle Programme with Thesis



General Description
History
Qualification Awarded
Level of Qualification
Second Cycle
Specific Admission Requirements
The applicants who hold a Bachelor's Degree and willing to enroll in the Master's programme may apply to the Directorate of the Graduate School with the documents: 1-Sufficient score (at least 55 out of 100) from the Academic Staff and Graduate Study Education Exam (ALES) conducted by Student Selection and Placement Center (OSYM) or GRE Graduate Record Examination (GRE) score or Graduate Management Admission Test (GMAT) score equivalent to ALES score of 55. 2-English proficiency (at least 70 out of 100 from the Profiency Exam conducted by Ege University Foreign Language Department, or at least 50 out of 100 from ÜDS (University Language Examination conducted by OSYM) or TOEFL or IELTS score equivalent to UDS score of 50. The candidates fulfilling the criteria outlined above are invited to interwiev. The assessment for admission to masters programs is based on : 50% of ALES, 25% of academic success in the undergraduate programme (cumulative grade point average (CGPA) ) and 25% of interview grade. The required minimum interview grade is 50 out of 100. The candidates having an assessed score of 60 at least are accepted into the Master's programme. The results of the evaluation are announced by the Directorate of Graduate School.
Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)
The rules for recognition of formal prior learning are well defined. A student who is currently enrolled in a Master's Degree programme in the same discipline at another institution and has successfully completed at least one semester, upon submitting all required documents before the deadline, may transfer to the Master's Programme at EGE University upon the recommendation of the department administration and with the approval of the Administrative Committee of the Graduate School. The decision taken will also include eligibility for exemption from some course requirements of the graduate program. Students who transfer from another university must be successful in the EGE University English Proficiency Exam or in an equivalent English examination. Recognition of prior non-formal and in-formal learning is at the beginning stage in Turkish Higher Education Institutions. Ege University is not an exception to this.
Qualification Requirements and Regulations
The programme consists of a minimum of seven courses delivered within the graduate programme of the department and in related fields, one seminar course, and thesis, with a minimum of 21 local credits. The seminar course and thesis are non-credit and graded on a pass/fail basis. The duration of the programme is four semesters. The maximum period to complete course work in a masters program with thesis is 4 semesters. However, with the approval of their advisors, students can in subsequent semesters take additional departmental courses with or without credits. The total ECTS credits of the programme is 120 ECTS. A student may take undergraduate courses on the condition that the courses have not been taken during the undergraduate program. However, at most two of these courses may be counted to the Master's course load and credits. Students must register for thesis work and the Specialization Field course offered by his supervisor every semester following the semester, in which the supervisor is appointed. A student who has completed work on the thesis within the time period, must write a thesis, using the data collected, according to the specifications of the Graduate School Thesis Writing Guide. The thesis must be defended in front of a jury. The Master's thesis jury is appointed on the recommendations of the relevant Department Chairperson and with the approval of the Administrative Committee of the Graduate School. The jury is composed of the thesis supervisor and 3 to 5 faculty members. Of the appointed jury members, up to one may be selected from another Department or another University. In case the jury consists of 3 members, the co-supervisor cannot be the jury member. A majority vote by the jury members determines the outcome of the thesis or examination. The vote can be for "acceptance", "rejection" or "correction". The Department Chairperson will inform the Director of the Graduate School, in writing, of the jury's decision within 3 days. To correct or change a thesis found incomplete and/or inadequate by the jury, the jury must specify in its report that such corrections are necessary. A student may be given, by a decision of the Administrative Committee of the Graduate School, up to three months to complete the corrections. The student must then retake the thesis examination.
Profile of The Programme
Occupational Profiles of Graduates With Examples
Access to Further Studies
Graduates who successfully completed the Master's Degree may apply to doctorate (third cycle) programmes in the same or in related disciplines.
Examination Regulations, Assessment and Grading
Graduation Requirements
Graduation requirements are explained in the section “Qualification Requirements and Regulations” .
Mode of Study (Full-Time, Part-Time, E-Learning )
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Address, Programme Director or Equivalent
Facilities

Key Learning Outcomes
1To have knowledge of software quality standarts, and ability to develop software up to these standards
2To be able to do Research and Development on the fields of Information Technologies and Computer Science
3To know the scientific terminology on the field.
4To participate in teams working in professional and social issues
5To use and select the appropriate statistical analysis method for scientific studies
6Ability to think abstract
7Having expertise knowledge in computer science.
8Ability to use Mathematics, Science and Engineering knowledge to solve problems on the field of Information Technologies.
9Ability to define problems related to the field of information technologies and ability to realize analyzing, modelling and managing the components of hardware and software.
10Ability to investigate modern methods, and develop optimized and resource-efficient algorithmic approaches.
11Ability to design and solve a process in accordance with a defined goal
12Making data analysis, design and simulation, ability to interprete results.
13Ability to do team work within the discipline or interdisciplinary.
14Knowing the importance of lifelong learning and making self-improvement by following recent developments in fields of Science and Technology
15Ability to communicate by expressing self study skills and ideas clearly in written and orally.
16To have the professional and ethical responsibility, and avoid plagiarism.

Key Programme Learning Outcomes - NQF for HE in Turkey
TYYÇKey Learning Outcomes
00000012345678910
KNOWLEDGE1
2
SKILLS1
2
3
COMPETENCES (Competence to Work Independently and Take Responsibility)1
2
3
COMPETENCES (Learning Competence)1
COMPETENCES (Communication and Social Competence)1
2
3
4
COMPETENCES (Field Specific Competence)1
2
3

Course Structure Diagram with Credits
T : Theoretical P: Practice L : Laboratory
1. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9105055071998 Advanced Computer Networks I Compulsory 3 0 0 8
2 UBİ-SG-YL-G ELECTIVE COURSES 1 Elective - - - 22
3 9105055572019 Scientific Research Techniques and Ethics Compulsory 3 0 0 8
Total 6 0 0 38
 
2. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9105055342007 Advanced Algorithmic Techniques Compulsory 3 0 0 8
2 UBİ-SG-YL-B ELECTIVE COURSES 2 Elective - - - 16
3 FENYLSEM Seminar Compulsory 0 0 0 6
Total 3 0 0 30
 
3. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 YLUAD591 Specialization Field Compulsory 0 0 0 4
2 YLTEZ591 Thesis Study Compulsory 0 0 0 26
Total 0 0 0 30
 
4. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 YLUAD591 Specialization Field Compulsory 0 0 0 4
2 YLTEZ592 Thesis Study Compulsory 0 0 0 26
Total 0 0 0 30
 
ELECTIVE COURSES 1
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9105055011998 Discrete Structures for Computer Science Elective 3 0 0 8
2 9105055032009 Data Structures and Algorithms Elective 3 0 0 8
3 9105055171998 Expert Systems Elective 3 0 0 8
4 9105055192000 Advanced Probability Statistics and Queuing Theory Elective 3 0 0 8
5 9105055252007 Object Oriented Programming Elective 3 0 0 8
6 9105055432010 Secure Web Design Elective 3 0 0 8
7 9105055452012 Distributed Algorithms Elective 3 0 0 8
8 9105055472012 Network Programming Elective 3 0 0 8
9 9105055512014 Mobile Programming Elective 3 0 0 8
10 9105055532016 Game Theory Elective 3 0 0 8
11 9105055632017 Computer Language Engineering Elective 3 0 0 8
ELECTIVE COURSES 2
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9105055021998 Database Management Systems Elective 3 0 0 8
2 9105055041998 Programming Languages Elective 3 0 0 8
3 9105055061998 Operating Systems Elective 3 0 0 8
4 9105055082008 Information Systems Elective 3 0 0 8
5 9105055162000 Advanced Computer Graphics Elective 3 0 0 8
6 9105055201998 Parallel Programming Elective 3 0 0 8
7 9105055281998 Network Security Elective 3 0 0 8
8 9105055301998 Advanced Computer Networks II Elective 3 0 0 8
9 9105055322007 Wireless Sensor Networks Elective 3 0 0 8
10 9105055422009 Service-oriented Computing Elective 3 0 0 8
11 9105055462013 Search Engines Elective 3 0 0 8
12 9105055542017 Domain-specific Languages Elective 3 0 0 8
13 9105055562017 Advanced Topics in Modern Software Engineering Elective 3 0 0 8
14 9105055582017 Internet of Things Elective 3 0 0 8
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr