Türkçe English Curriculum Key Learning Outcomes
Econometrics
General Description
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Brief History
Doctorate program in Econometrics main science branch got started within Social Sciences Institution in 1983.
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Qualification Awarded
Doctorate program in Econometrics main science branch is subject to 180-240 credits third stage system. After the program is completed successfully and program´s qualifications are met, third cycle degree is achieved.
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Level of Qualification
Third Cycle
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Specific Admission Requirements
1- Master`s Degree Certificate, 2- Candidates should have the required score from the postgraduate education entrance exam (PEEE) valid for 3 years and the verbal-equiponderant score should be 55 the minimum (See the Masters Degree Instruction). The PEEE score document and internationally accepted documents (GRE, GMAT etc.) are required for foreign students without any score clause. 3- Candidates should sufficient foreign language proficiency (the score of 55 the minimum from such language proficiency exams as YDS in the languages of English, French, German and Arabic, the score of 55 the minimum from TOEFL IBT, the score of 134 from TOEFL CBT, the score of 453 from TOEFL PBT and the equiponderant other exams). Foreign students (apart from those who have studied in Turkey) are required to have the minimum score of 55 from languages such as English, French, German and Arabic and should also have the TÖMER documents proving that they have sufficient proficiency of Turkish language (except those who studied in Turkey). For Doctorate Degree - PEEE 50% + GRADUATE SUCCESS AVARAGE 10% + MASTER SUCCESS AVARAGE 10% + WRITTEN/INTERVIEW 30% = Candidates are ranked according to the weighted total score that they have earned from the general assessment and students are admitted according to the quota starting with the candidate with the highest score (Minimum score of 70 must be obtained for a passing grade). For Foreign Students MASTER SUCCESS AVARAGE 50% + FOREIGN LANGUAGE PROFICIENCY 50% = Candidates are ranked according to the weighted total score that they have earned from the general assessment and students are admitted according to the quota starting with the candidate with the highest score.
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Specific arrangements for the recognition of prior learning
The provisions in “Regulation on Transfer among Associate and Undergraduate Degree Programs, Double Major, and Subspecialty and the Principals of Credit Transfer among Institutions in Higher Education Institutions” are applied.
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Qualification Requirements and Regulations
Students who have attended minimum 24 an maximum 30 credit courses and have finished them all 75 points out of 100 and have defended his/her thesis successfully in the field of his/her branch are awarded with third cycle diploma.
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Profile of The Programme
It is aimed to improve the basic knowledge of econometrics, statistics and operations research science branches that is taken in the Bachelors level and second cycle level to more advance level. Thus, econometrician, statistician and operation researchers that can use advance level techniques are educated. In schedule, advance level courses of econometrics, statistics and operations research science branches are existed. Students who were not graduated from econometrics in both first and second cycle are taught in scientific preparation course and so required basic knowledge are taught. Students are up skilled to write scientific paper and scientific dissertation. Also, knowledge that can devise projects in solving public and private sectors are presented to the students.
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Key Learning Outcomes & Classified & Comparative
1. Being able to improve the basic knowledge acquired in the fields of econometrics, statistics and operations research to the expertise level and to comprehend interdisciplinary interaction.
2. Being able to evaluate and use the advanced level knowledge on econometrics, statistics and operations research, economics, public finance, law, management, and accounting that are required in experts and researchers who are much needed by the public and private sectors.
3. Being able to analyze and resolve the problems encountered in the fields of econometrics, statistics and operations research by combining the field knowledge with those obtained from other disciplines and to evaluate the findings of such analyses.
4. Being able to plan, independently carry out and publish studies related to the fields of econometrics, statistics and operations research.
5. Being able to develop new strategic approaches and generate solutions by taking on responsibility in the practices of fields of statistics, econometrics and operations research.
6. Being able to make the critical analysis, synthesis and the evaluation of new and complicated ideas in the fields of econometrics, statistics and operations research.
7. Being able to present current developments and own studies concerning the fields of econometrics, statistics and operations research in oral, written and visual forms to those groups within and outside the econometrics, statistics and operations research world.
8. Being able to use the information and communication technologies at an advanced level together with different software as required by the fields of statistics, econometrics and operations research.
9. Being able to speak a foreign language and keep up with a foreign literature in the fields of econometrics, statistics and operations research.
10. By paying regard to social, scientific and ethical values, being able to instruct and supervise these values in studies related to the fields of econometrics, statistics and operations research.
11. To be able to interpret the results of the models related to the fields of econometrics, statistics and operations research.
12. Get knowledge and become skillful at practicing in the fields of econometrics, statistics and operations research.
SKILLS Cognitive - Practical
  • Being able to analyze and resolve the problems encountered in the fields of econometrics, statistics and operations research by combining the field knowledge with those obtained from other disciplines and to evaluate the findings of such analyses.
  • Being able to evaluate and use the advanced level knowledge on econometrics, statistics and operations research, economics, public finance, law, management, and accounting that are required in experts and researchers who are much needed by the public and private sectors.
KNOWLEDGE Theoretical - Conceptual
  • Being able to improve the basic knowledge acquired in the fields of econometrics, statistics and operations research to the expertise level and to comprehend interdisciplinary interaction.
  • Get knowledge and become skillful at practicing in the fields of econometrics, statistics and operations research.
COMPETENCES Field Specific Competence
  • To be able to interpret the results of the models related to the fields of econometrics, statistics and operations research.
  • By paying regard to social, scientific and ethical values, being able to instruct and supervise these values in studies related to the fields of econometrics, statistics and operations research.
  • Being able to develop new strategic approaches and generate solutions by taking on responsibility in the practices of fields of statistics, econometrics and operations research.
COMPETENCES Competence to Work Independently and Take Responsibility
  • Being able to plan, independently carry out and publish studies related to the fields of econometrics, statistics and operations research.
  • Being able to develop new strategic approaches and generate solutions by taking on responsibility in the practices of fields of statistics, econometrics and operations research.
COMPETENCES Communication and Social Competence
  • Being able to present current developments and own studies concerning the fields of econometrics, statistics and operations research in oral, written and visual forms to those groups within and outside the econometrics, statistics and operations research world.
  • Being able to speak a foreign language and keep up with a foreign literature in the fields of econometrics, statistics and operations research.
  • Being able to use the information and communication technologies at an advanced level together with different software as required by the fields of statistics, econometrics and operations research.
COMPETENCES Learning Competence
  • Being able to make the critical analysis, synthesis and the evaluation of new and complicated ideas in the fields of econometrics, statistics and operations research.
  • Being able to analyze and resolve the problems encountered in the fields of econometrics, statistics and operations research by combining the field knowledge with those obtained from other disciplines and to evaluate the findings of such analyses.
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Occupational Profiles of Graduates With Examples
Job opportunities are available in both public and private sectors. In public sector it can be worked at some institutions such as state planning organization and Turkish statistical institute and in private sector it can be worked at some institutuions such as research firms, finance, banking and insurance.
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Access to Further Studies
Graduates, who have successfully completed second cycle degree can be in the educated in the third cycle programmes under the condition that they completed their applications and succeeded interviewing.
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Examination Regulations, Assessment and Grading
In order for each student to be able to register for the courses at the beginning of the term and to take the final examination, she/he has to attend at least 70% of the classes. Students are made to take at least one final examination for each of the courses. All exams are evaluated over 100 point. To be successful in the final exam it is obliged that minimum 75 points should be taken. Students that have AA, BA, BB and CB final grades for any course are thought to be succeeded.
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Graduation Requirements
In order to complete the program successfully it is required to pass all the courses in the program (equivalent to total 180-240 AKTS), to pass proficiency exam, to succeed in professional courses , to publish a paper in a refereed journal and complete the thesis with success.
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Mode of Study
Full-Time
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Address and Contact Details
Adres: Bursa Uludağ Üniversitesi, Görükle Kampüsü, Sosyal Bilimler Enstitüsü, Pk. 16059 , Nilüfer/BURSA.
Bölüm Başkanı: Prof. Dr. Nuran BAYRAM ARLI
Tel: 0 224 294 1126
Faks: 0 224 294 11 99
E-posta: nuranb@uludag.edu.tr
Bologna Koordinatörü: Doç. Dr. Selim TÜZÜNTÜRK
E-posta: selimtuzunturk@uludag.edu.tr
Erasmus Koordinatörü: Prof. Dr. Sevda GÜRSAKAL
E-posta: sdalgic@uludag.edu.tr
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Facilities
Education language is Turkish. Courses are taught at clasrooms that have projections and smart boards.
7 Professors Dr., 5 Associate Professor Dr., 1 Assistant Professor Dr., 1 PhD Research Assistant 5 Research Assistant work at the Department.
1. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO5101 OPERATIONS RESEARCH TECHNIQUES Compulsory 3 0 0 6
EKO5103 ECONOMETRIC METHODS Compulsory 3 0 0 5
EKO5171 SEMINAR Compulsory 0 2 0 5
EKO5175 DISSERTATION SUPERVISION I Compulsory 0 1 0 1
Click to choose optional courses. 13
Total 30
2. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO5102 TIME SERIES ANALYSIS Compulsory 3 0 0 6
EKO5104 EXPERIMENTAL DESIGN Compulsory 3 0 0 7
EKO5176 DISSERTATION SUPERVISION II Compulsory 0 1 0 1
Click to choose optional courses. 16
Total 30
3. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO5173 SEMINAR Compulsory 0 2 0 5
EKO5177 DISSERTATION SUPERVISION Compulsory 0 1 0 20
EKO5183 M.A. SPECIALISED FIELD COURSE III Compulsory 4 0 0 5
EKO5191 MA THESIS I Compulsory 0 0 0 20
Total 50
4. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO5178 DISSERTATION SUPERVISION Compulsory 0 1 0 25
EKO5184 M.A. SPECIALISED FIELD COURSE IV Compulsory 4 0 0 5
EKO5192 MA THESIS II Compulsory 0 0 0 25
Total 55
1. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO5105 RESEARCH METHODS IN SOCIAL SCIENCES Optional 2 0 0 3
EKO5107 SOCIAL NETWORK ANALYSIS Optional 2 0 0 3
EKO5109 STATISTICAL RISK ANALYSIS Optional 2 0 0 3
EKO5111 PRE-REPORTING TECNIQUES Optional 2 0 0 3
EKO5181 ADVANCED TOPICS IN MA THESIS I Optional 4 0 0 4
2. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO5106 ECONOMETRIC ANALYSIS Optional 2 0 0 4
EKO5108 MULTIVARIATE TIME SERIES ANALYSIS Optional 2 0 0 4
EKO5110 QUALITATIVE CHOOSEN TECHNIQUE Optional 2 0 0 4
EKO5112 STATISTICAL ANALYSIS METHODS Optional 2 0 0 4
EKO5114 SIMULATION MODELS Optional 2 0 0 4
EKO5182 ADVANCED TOPICS IN MA THESIS II Optional 4 0 0 4
Bologna İletişim
Mail : bologna@uludag.edu.tr
Tasarım & Kodlama
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otomasyon@uludag.edu.tr