Institute of Graduate Programmes | Remote Sensing and Geographical Information Syst. | Remote Sensing and Geographical Information Syst.

Profile of the Programme

The Remote Sensing and Geographic Information Systems Ph.D. Program is an interdisciplinary graduate program that aims to provide students with advanced knowledge and research competence in remote sensing, geographic information systems, spatial data production, spatial analysis, modeling, data management, and scientific research processes.

The program aims to train researchers who can discuss theoretical concepts and principles in the field of remote sensing and geographic information systems at an advanced level, conduct scientific research processes independently, and carry out original studies by synthesizing data, methods, and applications from different disciplines.

Graduates of the program can develop solutions to environmental, urban, and social problems within the context of spatial analysis; take part in research and technology development projects based on remote sensing and geographic information systems; present their scientific studies in written, oral, and visual forms; and contribute to interdisciplinary studies in higher education, research institutions, public institutions, or the private sector.

Programme Director & ECTS Coord.

DEPARTMENT CHAIR
PROF. DR. UĞUR AVDAN

Specific Admission Requirements

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.

Qualification Requirements and Regulations

A student with an MA/MS degree is required to successfully complete a minimum of 7 courses, not less than 52,5 ECTS credits on the other hand student without an MA/MS degree enrolling in the doctorate programs is required to successfully complete a minimum of 14 courses not less than 105 ECTS credits. Both groups of students are required take the required Field Specialization course, pass the qualifying exam, have an accepted dissertation proposal and successfully compete doctorate dissertation work with a minimum of 60 ECTS credits, have a minimum GPA of 3.00/4.00 and no letter grades lower than CC and no YT, DZ grades.
Students admitted to the Ph.D. program pursue their studies in accordance with the Eskişehir Technical University Graduate Education-Teaching and Exam Regulations, relevant senate decisions, and the application requirements announced for the relevant semester. The course, proficiency examination, thesis proposal, thesis monitoring, and graduation processes of the program are carried out in line with the relevant regulations.Ph.D. students are expected to successfully complete the courses, seminar, and other academic requirements included in the curriculum of their registered program; pass the doctoral proficiency examination; obtain approval for their thesis proposal; conduct their thesis studies in accordance with the procedures and principles determined by the relevant boards; and successfully defend their dissertation.The duration of the program, success requirements, maximum periods, course load, academic evaluation, and dismissal procedures are subject to the provisions of the Eskişehir Technical University Graduate Education-Teaching and Exam Regulations.

Access to Further Studies

May apply to post doctorate programmes.
Graduates who successfully complete the Ph.D. program may take part in postdoctoral research, academic studies, and advanced research and development activities requiring specialization in higher education institutions as well as public and private research organizations. Opportunities for postdoctoral study and research are subject to the specific regulations and requirements of the relevant institutions.

Graduation Requirements

A student with an MA/MS degree is required to successfully complete a minimum of 7 courses, not less than 52,5 ECTS credits on the other hand student without an MA/MS degree enrolling in the doctorate programs is required to successfully complete a minimum of 14 courses not less than 105 ECTS credits. Both groups of students are required take the required Field Specialization course, pass the qualifying exam, have an accepted dissertation proposal and successfully compete doctorate dissertation work with a minimum of 60 ECTS credits, have a minimum GPA of 3.00/4.00 and no letter grades lower than CC and no YT, DZ grades.
In order to graduate from the Ph.D. program, students must successfully complete the courses, seminar, and other academic requirements included in the curriculum of their registered program; pass the doctoral proficiency examination; obtain approval for the thesis proposal; complete the thesis monitoring processes in accordance with the relevant procedures and principles; and successfully defend their doctoral dissertation.Students are expected to fulfill all academic requirements for graduation in accordance with the Eskişehir Technical University Graduate Education-Teaching and Exam Regulations, relevant senate decisions, and departmental/program regulations. The graduation process is carried out on the basis of successful completion of course work, academic proficiency, dissertation study, and dissertation defense.

Occupational Profiles of Graduates

Graduates who successfully complete the Ph.D. program may work as specialists, researchers, and academics in universities, research centers, public institutions, local governments, and private sector organizations in the fields of remote sensing, geographic information systems, spatial data analysis, modeling, decision support systems, and research and development.

Graduates may contribute to advanced spatial data production, analysis, modeling, evaluation, and project development processes in areas such as environmental and natural resource management, disaster and risk management, urban and regional planning, agriculture, forestry, energy, infrastructure, transportation, health, security, real estate management, cadastre, and related fields.

They may also take part as principal investigators or researchers in interdisciplinary research and technology development projects and assume responsibilities in scientific publication, academic consultancy, project management, and advanced application development.

Examination Regulations, Assessment and Grading

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