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

Graduate School of Natural and Applied Sciences - Statistics - Third Cycle Programme



General Description
History
The Department of Statistics is established as the seventh department of the Faculty of Science at Ege University and the department has begun undergraduate education between 1987 and 1988. Approximately 550 students in the department are educated by a scientific committee which consists of 17 members such as 2 professor, 5 assistant professor, 3 instructors and 7 assistants. The main objective of the department is to offer a well-balanced statistics program for prospective statisticians who may work in various fields including university teaching. The aim of the program offered by The Department of Statistics is two-fold: First is to provide its students with a firm foundation in the theory and application of the basic techniques of statistics; second is to ensure that students acquire a background knowledge in the other social sciences. The development of the student’s power of analytical reasoning is the major aim of the department.
Qualification Awarded
The Doctorate Degree in Statistics awarded to the graduates who have successfully full filled all programme requirements.
Level of Qualification
Third Cycle
Specific Admission Requirements
The applicants who hold a Master's Degree and willing to enroll in the Doctorate programme may apply to the Directorate of 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 55 out of 100 from ÜDS (University Language Examination conducted by OSYM) or TOEFL or IELTS score equivalent to UDS score of 55. The candidates holding Bachelor's or Master's Degree taught totally in English are exempted from English proficiency requirement. The candidates fulfilling the criteria outlined above are invited to interwiev. The assessment for admission to masters programs is based on : 50% of ALES, 15% of academic success in the undergraduate programme (cumulative grade point average (CGPA) ) 10 % of academic success in the master's programme and 25% of interview grade. The required minimum interview grade is 60 out of 100. The candidates having an assessed score of 65 at least are accepted into the Doctorate 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 Doctorate 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 Doctorate 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 doctorate programme consists of a minimum of seven courses, with a minimum of 21 national credits, a qualifying examination, a dissertation proposal, and a dissertation. The period allotted for the completion of the Doctorate programmes is normally eight semesters (four years). However, while it is possible to graduate in a shorter time, it is also possible to have an extension subject to the approval of the graduate school. The seminar course and thesis are non-credit and graded on a pass/fail basis. The total ECTS credits of the programme is 240 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 Doctorate course load and credits. The PhD students are required to take the Doctoral Qualifying Examination, after having successfully completed taught courses. The examination consists of written and oral parts. The Doctoral Qualifying Committee determines by absolute majority whether a candidate has passed or failed the examination. Students who fail the Qualifying Examination may retake the examination the following semester. Students failing the Examination a second time are dismissed from the program. 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 dissertation supervisor who must hold the minimum rank of assistant professor is appointed for each PhD student. When the nature of the dissertation topic requires more than one supervisor, a joint-supervisor may be appointed. A joint-supervisor must hold a doctoral degree. Periodic monitoring of research work by a thesis monitoring committee is required to be awarded the Doctoral degree. 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 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 5 faculty members. Of the appointed jury members, up to two may be selected from another Department or another University. The co-supervisor cannot be the jury member. Thesis defense by the candidate is open to all audience and a jury decides to grant/deny the Doctoral degree. A majority vote by the jury members determines the outcome of the thesis or examination. The vote can be for "acceptance", "rejection" or "correction". A student may be given, by a decision of the Administrative Committee of the Graduate School, up to six months to complete the corrections. The student must then retake the thesis examination.
Profile of The Programme
The student should pass courses of totally at least 21 credits in maximum 4 semesters. Then, student should pass the PhD Qualifying exam. Finally, student starts the thesis process which should be verified by the PhD committee at least 3 times. Student can take extension in time depending on his/her situation.
Occupational Profiles of Graduates With Examples
The graduates can work as an experiment organizer in planning units making quantitative analysis, in insurance companies, in various sectors in industry, in quality control departments, in stage of technology improvement, in research and consultancy companies, in the sectors about agriculture and industrial design. Therefore, they can employ in many public institutes in which evaluations are made such as State Planning Organization, Ministry of Industrial and Commerce, State Institute of Statistics, Institute of Standards, Employment Agency, in banks and in individual companies.
Access to Further Studies
Graduates who succesfully completed doctorate degree may apply to both in the same or related disciplines in higher education institutions at home or abroad to get a position in academic staff or to governmental R&D centres to get expert position.
Examination Regulations, Assessment and Grading
The student should take at least 75 (as an overall grade) for each course he/she takes in the doctorate program. Otherwise, he/she fails the course.
Graduation Requirements
Graduation requirements are explained in the section “Qualification Requirements and Regulations” .
Mode of Study (Full-Time, Part-Time, E-Learning )
Full-Time
Address, Programme Director or Equivalent
Asst. Prof. Dr. Hakan Savas Sazak Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 17 25 e-mail: hakan.savas.sazak@ege.edu.tr
Facilities
A laboratory of 13 computers for graduate students and a seminar room.

Key Learning Outcomes
1The ability to produce scientific publications and projects
2To have the required level of competency in Statistical Theory to be able to make contribution to the Statistical Literature
3The ability to make efficient presentations in National and International Scientific meetings
4To be aware of the rules of Scientific Ethics and to have the consciousness to obey them
5To be able to follow the Statistical Literature
6To be able to conduct detailed research on a specific area
7To be able to plan solution methods for a problem and be able to apply them
8The ability to design a course, to present it in an effective way and to do the measurement and evaluation correctly
9To be able to use The Science of Statistics in multidisciplinary studies
10To be able to conduct intradisciplinary and multidisciplinary team studies
11To have scientific scepticism and verification skills
12To be able to communicate by expressing his/her ideas, written or orally in a clear and concise way
13The ability to think analytically
14To be able to conduct all the process in a scientific research including the definition of the problem, the design and reporting of the project, the collection, analysis and interpretation of the data with appropriate methods
15To have the initiative and individual working ability

Key Programme Learning Outcomes - NQF for HE in Turkey
TYYÇKey Learning Outcomes
123456789101112131415
KNOWLEDGE1
2
SKILLS1
2
3
4
COMPETENCES (Competence to Work Independently and Take Responsibility)1
2
3
COMPETENCES (Learning Competence)1
COMPETENCES (Communication and Social Competence)1
2
3
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 9101056092008 Advanced Statistics Theory Compulsory 3 0 0 8
2 İST-SG-DOK-G ELECTIVE COURSES 1 Elective - - - 22
3 9101056212018 Scientific Research Methods and Ethics Compulsory 3 0 0 0
Total 6 0 0 30
 
2. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 İST-SG-DOK-B ELECTIVE COURSES 2 Elective - - - 24
2 FENDRSEM1 SEMINAR I Compulsory 1 0 0 6
Total 1 0 0 30
 
3. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 FENDRYET790 Qualifying Exam Compulsory 0 0 0 9
2 DRUAD691 Specialization Field Compulsory 0 0 0 5
3 FENDRTEZONE Thesis Proposal Defense Compulsory 0 0 0 16
Total 0 0 0 30
 
4. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
5. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 FENDRSEM2 Seminar II Compulsory 1 0 0 6
2 DRUAD691 Specialization Field Compulsory 0 0 0 5
3 DRTEZ694 Thesis Study Compulsory 0 0 0 0
Total 1 0 0 11
 
6. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
7. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
8. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr