DEGREE PROGRAMMES

History

The Department of Statistics, established under the Faculty of Arts and Sciences, started undergraduate and graduate education in the 1994-1995 academic year. In our department, besides the undergraduate and minor programs, Statistics Master, Statistics Master (Scientific Preparation), Data Science Master (with and without Thesis), and Statistics Doctorate programs are carried out. 30% of the courses offered in undergraduate program are in English. Our department consists of six branches, such as Statistical Theory, Statistical Information Systems, Probability Theory and Processes, Risk Analysis, Applied Statistics and Operations Research.

Qualification Awarded

Statistics, Bachelors Degree (B.Sc.)

Level of Qualification

First Cycle (Bachelor's Degree)

Specific Admission Requirements

To have high school diploma, to be placed through a nation-wide Student Selection Examination, to successfully complete the English Preparatory Class of DEU School of Foreign Languages or to provide exemption conditions in DEU School of Foreign Languages.

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

Item 12 of Dokuz Eylul University Associate and Bachelors Degree Education and Exam Regulations (dated 12 August 2011 published on the official gazette number 28023) is applied.
(1) The lateral transfers to the university are executed according to the principals that are determined by the Senate according to the Regulations on the Basis of Transfers between Institutions at Upper Secondary Education and Undergraduate level, Double Major, Minor and Transfer of Credits between Institutions published on official gazette dated 24/4/2010 numbered 27561.
(2) On vertical transfers, the regulations on the continuation of the graduates of Vocational School and Open Learning Secondary Education Program Graduates Bachelors Degree Education published on official gazette on 19/2/202 dated 24676 are applied.
(3) On transfers of students that have not or can not complete their bachelors degree education to the Vocational Schools, the regulations on awarding Upper Secondary Eduation Degree or adaptation to Vocational Schools for the students who have not completed or can not complete Bachelors Degree Education published on official gazette dated 18/3/1989 dated 20112 are applied.

Qualification Requirements and Regulations

Education is total 4 years with 2 semesters every year (excluding 1 year of prep class)
Grading is done on a 4 point system.
Students have to succeed in all courses. Evaluation of success on class : See: DEU Faulty of Science Education and Examination Application Rules, Items 25-27
20 (twenty) work days of (4 weeks) internship work
3rd grade students have to take at least 18 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students have to take at least 12 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students must successfully complete the graduation project that lasts one year.
Students have to complete at least 240 ECTS credits.
Minimum graduation grade is 2.00 / 4.00

Profile of the Programme

The aim of the undergraduate program of Department of Statistics is to equip students with theoretical and practical knowledge of statistics and assets that are required by decision makers having analytical and critical thinking skills. The program also aims to graduate students; who are aware of their responsibilities toward to the community and to their work; who can follow the developments on science and technology, and can renew the knowledge of statistics with the consciousness about lifelong learning.
Department offers Probability and Statistics, Calculus, Computational tools, Mathematical statistics, Inference and Computer programming courses during first two years. For the third year, the courses are mostly elective except Regression analysis, Survey design, Linear programming, Financial Mathematics and Statistical Design of Experiments. During their fourth year students have to succeed in Multivariate Analysis, Nonparametric statistical Methods, Categorical Data Analysis and Time series Analysis courses. Other courses are elective. Department also offers lateral branch program. Moreover, we have bilateral agreement with various universities under ERASMUS and FARABI programs. There are 18 faculty in the department.

Key Learning Outcomes

Occupational Profiles of Graduates with Examples

Our graduates can be employed at Research and Planning departments of Public and Private Organizations, at Finance and Insurance Companies as an expert or manager.

Access to Further Studies

May apply to second cycle programmes.

Course Structure Diagram with Credits

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylul University Associate and Bachelors Degree and Faculty of Science Education and Exam Regulations are applied. See the following links for these regulations.

Graduation Requirements

Education is total 4 years with 2 semesters every year (excluding 1 year of prep class)
Grading is done on a 4 point system.
Students have to succeed in all courses. Evaluation of success on class : See: DEU Faulty of Science Education and Examination Application Rules, Items 25-27
20 (twenty) work days of (4 weeks) internship work
3rd grade students have to take at least 18 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students have to take at least 12 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students must successfully complete the graduation project that lasts one year.
Students have to complete at least 240 ECTS credits.
Minimum graduation grade is 2.00 / 4.00.

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

Full-time

Programme Director or Equivalent

Prof. Dr. Burcu Hüdaverdi
e-mail: burcu.hudaverdi@deu.edu.tr;
Tel: (232) 301 85 97