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 and broaden the advanced level of contemporary knowledge in the fields of econometrics, statistics and operations research.
2. Being able to use and evaluate the expert 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 research, critically analyze and evaluate an original topic in the fields of econometrics, statistics and operations research.
4. Being able to publish at least one scientific article related to the fields of statistics, econometrics and operations research in a peer-reviewed journal.
5. Being able to develop new ideas and to generate solutions with a leadership attitude in the fields of econometrics, statistics and operations research.
6. Being able to identify the shortcomings of the fields of statistics, econometrics and operations research and to develop new and creative ideas and methods.
7. Being able to use a foreign language, both written and verbal, and to make use of the foreign literature in the fields of statistics, econometrics and operations research.
8. Being able to advocate own original ideas, to discuss and communicate effectively with expert people in the fields of econometrics, statistics and operations research.
9. Being able to investigate and solve the problems in the fields of econometrics, statistics and operations research through making use of the strategic decision making processes.
10. Being able to contribute to the development of solutions to the social, scientific and ethical problems encountered in the fields of econometrics, statistics and operations research.
11. Become more skillful at using needed software in the fields of econometrics, statistics and operations research.
12. To be able to contribute to the area with an original study in the fields of econometrics, statistics and operations research.
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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
EKO6103 MULTIVARIATE DATA ANALYSIS Compulsory 3 0 0 7
EKO6105 MICROECONOMETRICS Compulsory 3 0 0 7
EKO6191 THESIS CONSULTING I Compulsory 0 1 0 1
Click to choose optional courses. 15
Total 30
2. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6104 OPERATIONS RESEARCH ANALYSIS Compulsory 3 0 0 6
EKO6140 MACROECONOMETRICS Compulsory 3 0 0 6
EKO6172 SEMINAR Compulsory 0 2 0 5
EKO6192 THESIS CONSULTING II Compulsory 0 1 0 1
Click to choose optional courses. 12
Total 30
3. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6183 ADVANCED TOPICS IN PHD THESIS I Compulsory 4 0 0 4
EKO6193 THESIS CONSULTING III Compulsory 0 1 0 10
YET6177 PHD COMPREHENSIVE EXAM Compulsory 0 0 0 16
Total 30
4. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6184 ADVANCED TOPICS IN PHD THESIS II Compulsory 4 0 0 4
EKO6194 THESIS CONSULTANTS IV Compulsory 0 1 0 26
Total 30
5. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6185 ADVANCED TOPICS IN PHD THESIS III Compulsory 4 0 0 4
EKO6195 THESIS CONSULTING V Compulsory 0 1 0 26
Total 30
6. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6186 ADVANCED TOPICS IN PHD THESIS IV Compulsory 4 0 0 4
EKO6196 THESIS CONSULTING VI Compulsory 0 1 0 26
Total 30
7. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6187 ADVANCED TOPICS IN PHD THESIS V Compulsory 4 0 0 4
EKO6197 THESIS CONSULTING VII Compulsory 0 1 0 26
Total 30
8. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6188 ADVANCED TOPICS IN PHD THESIS VI Compulsory 4 0 0 4
EKO6198 THESIS CONSULTING VIII Compulsory 0 1 0 26
Total 30
15. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO3102 BH ECONOMETRICS II Compulsory 3 0 0 6
EKO3302 BH OPERATIONS RESEARCH II Compulsory 3 0 0 5
EKO4206 BH SAMPLING Compulsory 3 0 0 5
Total 16
1. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6107 DATA MINING Optional 2 0 0 5
EKO6109 STRUCTURAL EQUATION MODELING Optional 2 0 0 5
EKO6111 PANEL DATA ECONOMETRICS Optional 2 0 0 5
EKO6113 SIMULATION AND PLANNING Optional 2 0 0 5
EKO6115 SPATIAL ECONOMETRICS Optional 2 0 0 5
2. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
EKO6106 STRATEGIES FOR MODELS Optional 2 0 0 4
EKO6108 ADVANCED STATISTICAL DATA ANALYSIS Optional 2 0 0 4
EKO6110 STATISTICAL QUALITY CONTROL Optional 2 0 0 4
EKO6114 PANEL DATA ANALYSIS Optional 2 0 0 4
EKO6116 MULTIVARIATE STATISTICAL ANALYSIS Optional 2 0 0 4
EKO6118 NON LINEAR TIME SERIES ANALYSIS Optional 2 0 0 4
Bologna İletişim
Mail : bologna@uludag.edu.tr
Tasarım & Kodlama
Bilgi İşlem Daire Başkanlığı © 2015
otomasyon@uludag.edu.tr