Dokuz Eylül University Information Package / Courses Catalog

General Description

History

This program was established in 1994-1995. The program aims educating students who can independently collect data and produce information using both theoretical and applied statistical concepts in a graduate level. Educational facilities are offered to have a statistical point of view and contribute the solution for the problems came upon in other disciplines.

Qualification Awarded

Ph.D. in Statistics

Level of Qualification

Third Cycle (Doctorate Degree)

Specific Admission Requirements

Second Cycle (Master's Degree) diploma; to fulfill the requirements of the DEÜ The Gradeate School of Natural and Applied Sciences.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

According to the Regulations of Dokuz Eylül University for Graduate Schools, students may be accepted for graduate transfer with the approval of the Department Directorate and decision of the Board of Directors of the Graduate School in case the student fulfills the graduate transfer regulations decided by the General Council of the Graduate School. Previously taken courses at another graduate programme with a successful grade may be recognized by the related programmes with the written request of the students including course contents and the transcript, and by the recommendation of the Department Directorates and by the decision of the Board of Directors. The courses taken by the outgoing Exchange students may have the recognition at the school either as compulsory or elective by the decision of the Board of Directors.

Qualification Requirements and Regulations

4 years, 2 semesters per year, 240 ECTS in total.

Profile of the Programme

The language of instruction in statistics program is 100% English. For this reason, students who are not proficient in English must pass proficiency and level determination exam in the School of Foreign Languages. The program consists of compulsory and elective courses.

Key Learning Outcomes

1	To have an advanced level theory and application backround in statistics.
2	To have an advanced level literature knowledge about his/her dissertation .
3	To publish at least one research paper about his/her dissertation in a SCI or SCI-EXP journal.
4	To propose a new method or an approach for a problem related with his/her dissertation.
5	To be able to superwise a research which is about his/her dissertation.
6	To understand and interpret new statistical methods and approaches in a systematic manner.
7	To understand the interaction with statistics and other disciplines and to use his/her statistical backround while evaluating new ideas.
8	To defend ideas about his/her statistical research area in a professional community.
9	To have advanced communication skills in at least one foreing language as verbal, visual or written.
10	By improving the sense of statistics science in a community, to contribute the process of being an information society.

Occupational Profiles of Graduates with Examples

Public and private sector R&D 40%
Academic Institutions 40%
Finance and Insurance 20%

Access to Further Studies

May apply to post doctorate programmes.

Course Structure Diagram with Credits

Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
In addition to the compulsory courses of the programme, students register to elective courses appropriate for their thesis topic, on the consent of their supervisor. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). It is obligatory to register MAT5102 Numerical and Approximate Methods (3 0 0) with approval of the supervisor. In the case of one of these courses taken during the M.Sc. education, these are not obligatory. The registration must be noticed to the Institute during course registration period by the supervisor. For Ph. D. students it is obligatory to take minimum 2 non-credit courses among "Ph. D. Programs Common Elective Courses" and be successful with grade (B) within 4 semesters of course taking period.
T: Theoretical P: Practice L: Laboratory B: Spring Semester G: Fall Semester H: Full Year

1 .Semester:
G	1	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	COMPULSORY	3	0	0	9
G	2	STA 5053	PROBABILITY AND STATISTICAL INFERENCE - I	COMPULSORY	3	0	0	8
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	13
TOTAL:								30

2 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	FBE 6668	PHILOSOPHY OF SCIENCE AND ETHICS	COMPULSORY	3	0	0	5
B	2	STA 5056	PROBABILITY AND STATISTICAL INFERENCE - II	COMPULSORY	3	0	0	9
B	3	STA 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	7
TOTAL:								30

3 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	STA 6094	PH.D. SEMINAR	COMPULSORY	0	3	0	5
G	2	STA 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	16
TOTAL:								30

4 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

5 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

6 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

7 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

8 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylül University Regulations of Graduate Education and Exams and related items of Institute of Natural and Applied Sciences Regulations of Education and Code of Practicing Exams are applied for the exams and course grades. The course evaluation criteria are defined for each course by the instructor(s) of the corresponding course and are given in the Course Description Form found in the information package.

Graduation Requirements

Third Cycle (Doctor of Philosophy) Programme is comprised of courses (at least 67 ECTS),Ph.D.Seminar (5 ECTS), Ph. D. Research (18 ECTS) / Ph. D. Thesis (150 ECTS) courses, thesis proposal, doctoral qualifying examination and thesis examination with a total credit of 240 ECTS. Students must have minimum Cumulative Grade Point Average (CGPA) of 2.50 / 4.00 and completed all the courses with at least CB / S / TP grades.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Head of Department:Prof.Dr.Selma GÜRLER
E-mail : selma.erdogan@deu.edu.tr
Telephone : +90 232 - 3018571
Dokuz Eylül Üniversitesi Fen Fakültesi
Tınaztepe Kampüsü
35390 Buca / İzmir

DEGREE PROGRAMMES