Faculty of Science | Department of Statistics

Profile of the Programme

Department of Statistics consists of Theoretical Statistics and Applied Statistics. Along with the courses offered at the department, there are computer labs equipped with up-to-date database and statistical software necessary to gain expertise in the area. 30% of the education language is English in department of Statistics. The aim of the department is to train qualified researchers who identify data sources and channels related to experiments and observations in a system by using modern technologies, and who also can centralize data and generate information by interpreting system behaviour. Graduates of the Department of Statistics are employed as academic staff, or infinance and insurance, research companies, quality control and stock assessment departments of public and private sectors,media and hospitals, etc. This programme intends to include all kinds of practical and theoretical aspects of the field of study and it aims to train qualified researchers who are able to analyze, synthesize and interpret data obtained through experiments and observation to equip students with the skills to use current technological developments in statistics.

Programme Director & ECTS Coord.

BÖLÜM BAŞKANI
PROFESÖR SEVİL ŞENTÜRK
BÖLÜM BAŞKAN YARDIMCISI
DR. ÖĞR. ÜYESİ MUSTAFA ÇAVUŞ
DR. ÖĞR. ÜYESİ İSMAİL YENİLMEZ
ECTS BÖLÜM KOORDİNATÖRÜ
DR. ÖĞR. ÜYESİ MUSTAFA ÇAVUŞ
ECTS BÖLÜM KOORDİNATÖRÜ YARDIMCISI
ARAŞ. GÖR. DR. CENK İÇÖZ

General admission requirements stated under Info on the Institution on this website are being applied to start this programme.

Recognition of Prior Learning

Depending on the degrees awarded, theoretical or practical courses taken as part of a degree (completed or not completed) may lead to recognition of these as prior learning by the programme administration. The students who have taken courses in another institution in Turkey or abroad can ask for credit and grade transfer. The executive boards of relevant programme will decide on the courses to be transferred covering students' entire academic program once and for all with the condition that the request for transfer be made within the first week of the academic year, the requests cannot be repeated.
This program requires compulsory Intensive English Language Training. The students are exempt from the Compulsory program if they have score of 70 or above from the centralized exemption exam, or present at least 65 from KPDS/ÜDS, 60 from IBT,140 CBT, 460 PBT TOEFL or 5,5 from IELTS.

Qualification Requirements and Regulations

A student is required to successfully complete the designated program of courses meet a minimum of 240 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades.

Access to Further Studies

May apply to master's or doctorate programmes in any field or proficiency in fine arts programmes

Graduation Requirements

A student is required to successfully complete the designated program of courses meet a minimum of 240 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades.

Occupational Profiles of Graduates

Graduates of the Department of Statistics are employed as academic staff, or infinance and insurance, research companies, quality control and stock assessment departments of public and private sectors,media and hospitals, etc.

Examination Regulations, Assessment and Grading

A variety of assessment methods such as mid-term(s), assignment(s), exercise(s), project(s), practice(s), and a final exam are implemented in the programme. Assessment methods may include classical test(s), multiple-choice test(s), homework(s), performance evaluation(s), and product evaluation(s). In order to graduate from the programme, cumulative GPA must be minimum 2.00. A course grade is constituted by evaluating the above stated elements and given by using letters. Letter grades and their associated coefficients are as follows;
Generally, examination regulations are two midterm exams, one final exam via letter grade system for the lecture courses.

Grade	Coefficient
AA	4,0
AB	3,7
BA	3,3
BB	3,0
BC	2,7
CB	2,3
CC	2,0
CD	1,7
DC	1,3
DD	1,0
FF	0,0