Vocational School of Information Technologies | Department of Statistics | Program in Big Data Analyst

Last Updated: 21/09/2026

As a result of the information age, information processing hardware has become cheaper, the number and functionality of information systems have increased, the amount of information produced and shared via computer networks has grown, and ever-increasing amounts of data have begun to accumulate. The idea of recycling data collected over many years instead of discarding it and extracting value from it has emerged. In this context, the aim of the program is to teach students the process of converting the ever-increasing amount of usable data into value. In this regard, students will gain knowledge and experience in obtaining data, organizing it, pre-processing the organized data to make it ready for analysis, and finally analyzing the data ready for analysis and interpreting the outputs.

Admission to the programme is based on the relevant higher education legislation and the central placement procedures administered by the Centre for Assessment, Selection and Placement (ÖSYM). Candidates who are offered a place in the programme must complete their registration within the deadlines announced in the University's academic calendar and registration announcements, in accordance with the applicable legislation. To complete final registration, candidates must satisfy all general and programme-specific admission requirements. Admission through horizontal transfer is conducted in accordance with the relevant legislation and the principles established by the relevant academic unit. The application and admission procedures for international students are carried out in accordance with the applicable legislation.

Recognition of prior learning is carried out in accordance with the relevant higher education legislation, the University's regulations governing education, examinations and assessment, and the institutional principles for exemption and credit transfer. Students may apply, within the specified deadlines, for exemption and credit transfer based on courses successfully completed at another higher education institution or on equivalent prior learning. Applications are evaluated by the relevant board or commission with due consideration of course content, credit/ECTS values, grades obtained, and their compatibility with the curriculum and learning outcomes of the relevant programme.

All students enrolled at Anadolu University are assigned a faculty academic advisor to provide guidance and support throughout their studies. Academic advisors offer counselling from the beginning of the student's academic programme until graduation, assisting students with academic, administrative, and other matters related to university life. In particular, advisors provide guidance during course registration and course selection processes, monitor students' academic progress, and support them in making informed decisions regarding their educational pathways.
For further information, please refer to the Academic Advising Directive of Anadolu University.

The programme is delivered in face-to-face / blended mode. Students are enrolled on the programme as (full-time / part-time) students. Teaching and learning activities are conducted in accordance with the programme curriculum, including the semester structure, scheduled class hours, practical components, and, where applicable, online learning environments.

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;

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

A student is required to successfully complete the designated program of courses meet a minimum of 120 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades. This program requires 30 days of practical training.

To be awarded an Associate Degree, students must successfully complete all compulsory and elective courses specified in the curriculum of the programme in which they are enrolled, together with any required internship, practical training, project, or other academic requirements. To qualify for graduation, students must successfully complete at least 120 ECTS credits, have no failed courses, achieve the minimum cumulative grade point average (CGPA) specified in the relevant regulations (at least 2.00 on a 4.00 scale), and fulfil all other graduation requirements prescribed by the programme.

Students who successfully fulfil all programme requirements are awarded an Associate Degree Diploma in Program in Big Data Analyst Graduates obtain a Level 5 (Associate Degree) qualification within the Turkish Qualifications Framework (TQF).

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Graduates of Associate Degree programmes may apply for admission to Bachelor's Degree programmes through the Vertical Transfer Examination (DGS), in accordance with the provisions of the Regulation on the Continuation of Bachelor's Education for Graduates of Vocational Schools and Open Education Associate Degree Programmes and the relevant higher education legislation.

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