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Second Cycle Programmes (Master's Degree)

Graduate School of Natural and Applied Sciences - Statistics - - Second Cycle Programme with Thesis

General Description

The Department of Statistics is established as the seventh department of the Faculty of Science at Ege University and the department has begun undergraduate education between 1987 and 1988. Approximately 550 students in the department are educated by a scientific committee which consists of 16 members such as 2 professor, 6 associate professor, 2 assistant professors, 1 lecturers and 5 research assistants The main objective of the department is to offer a well-balanced statistics program for prospective statisticians who may work in various fields including university teaching. The aim of the program offered by The Department of Statistics is two-fold: First is to provide its students with a firm foundation in the theory and application of the basic techniques of statistics; second is to ensure that students acquire a background knowledge in the other social sciences. The development of the student’s power of analytical reasoning is the major aim of the department.

The Master’s Degree in Statistics (second cycle in Statistics) is awarded to the graduates who have successfully fulfilled all programme requirements

Length of Programme

2 Year, 4 Semesters

Total Credits

120 ECTS

Level of Qualification According to the National Qualification Framework and the European Qualifications Framework

EQF-LLL 7

0542-Statistics

Master's Degree

Acceptance and registration conditions for doctorate programs are stated in the EGE UNIVERSITY GRADUATE EDUCATION REGULATION. The number of students to be admitted to the doctorate program and the qualifications required for candidate students are announced before the beginning of each semester. In this announcement, the application conditions and the deadline, the place and date of the candidates are stated. The equivalence of undergraduate diplomas obtained from abroad must be approved by the Council of Higher Education (YÖK).

Graduation requirements are explained in EGE UNIVERSITY GRADUATE EDUCATION REGULATION.

The student should pass courses of totally at least 21 credits in maximum 4 semesters. The courses are designed to support students statistical information based on not only in the theoretical but also in the application fields. Then, student starts the thesis process which is planned to last 1 year. Student can take extension in time depending on his/her situation.

The graduates can work as an experiment organizer in planning units making quantitative analysis, in insurance companies, in various sectors in industry, in quality control departments, in stage of technology improvement, in research and consultancy companies, in the sectors about agriculture and industrial design. Therefore, they can employ in many public institutes in which evaluations are made such as State Planning Organization, Ministry of Industrial and Commerce, State Institute of Statistics, Institute of Standards, Employment Agency, in banks and in individual companies.

Graduates who succesfully completed Master's degree may apply to both in the PHD programme in the same or related disciplines if they get an acceptable ALES score and satisfy English requirements for the Phd programme.

Measurement and evaluation methods that is applied for each course, is detailed in EGE UNIVERSITY GRADUATE EDUCATION REGULATION and EGE UNIVERSITY MEASUREMENT AND EVALUATION PRESCRIPTION. Measurement and evaluation methods that is applied for each course, is detailed in "Course Curriculum".

Graduation requirements are explained in EGE UNIVERSITY GRADUATE EDUCATION REGULATION

Mode of Study (Full-Time, Part-Time, E-Learning )

Full Time

Head of the Department: Prof. Dr. Ali MERT Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 5407 e-mail: ali.mert@ege.edu.tr Programme Director: Assoc. Prof. Dr. Funda İŞÇİOĞLU Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 1723 e-mail: funda.iscioglu@ege.edu.tr

2 Computer Laboratories with a capacity of 48 and 8 computers 4 Amphi Classrooms 1 Seminar Hall 1 Meeting Hall 1 Guest Room 1 Graduate Student Room are available.

Key Learning Outcomes

1 To be able to conduct research in the chosen field, to create experimental designs, to carry out the experiments their designed, to collect and analyze data, to interpret the results and to develop research based on solution offers.
2 Ability to contact with verbal and written communication at least one foreign language, gaining knowledge and skills to use foreign publications in their studies or homework
3 To have the ability to work interdisciplinary and to adapt the theories, methods and applications in different fields to the related scope.
4 Necessity of lifelong learning and being able to realize it
5 To be conscious complying with social sensitivity and ethical values.
6 To be able to follow Statistical Literature and able to use the Science of Statistics in multidisciplinary studies.
7 To be able to propose solution methods for a problem and use proper statistical tools for this aim.
8 Non
9 Non
10 Non
11

Key Programme Learning Outcomes - NQF for HE in Turkey

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Key Learning Outcomes
1
2
3
4
5
6
7
8
9
10
11
KNOWLEDGE
1
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
SKILLS
1
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Competence to Work Independently and Take Responsibility )
1
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Learning Competence )
1
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Communication and Social Competence )
1
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
 
 
 
 
4
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Field Specific Competence )
1
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
 
 
 
 

Course Structure Diagram with Credits (60 ECTS per Full-Time Academic Year)

T : Theoretical P: Practice L: Laboratory
1. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9101055052008 Turkish Advanced Mathematical Statistics Compulsory 3 - - 8
FENETKFEN2021 Turkish Scientific Research Methods with Research and Publication Ethics Compulsory 2 - - 6
İST-SG-YL-G Turkish ELECTIVE COURSES 1 Elective - - - 22
Total 5 0 0 36
2. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
FENYLSEM Turkish Seminar Compulsory - - - 6
İST-SG-YL-B Turkish ELECTIVE COURSES 2 Elective - - - 24
Total 0 0 0 30
3. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
YLTEZ591 Turkish Thesis Study Compulsory - - - 26
YLUAD591 Turkish Specialization Field Compulsory - - - 4
Total 0 0 0 30
4. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
YLTEZ592 Turkish Thesis Study Compulsory - - - 26
YLUAD591 Turkish Specialization Field Compulsory - - - 4
Total 0 0 0 30
İST-SG-YL-G - ELECTIVE COURSES 1
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9101055012007 Turkish Advanced Regression Analysis Elective 3 - - 8
9101055032007 Turkish Statistical Quality Control and Applications Elective 3 - - 8
9101055092015 Turkish Statistical Reliability Analysis Elective 3 - - 8
9101055112015 Turkish Fuzzy Logic and Probability Elective 3 - - 7
9101055121998 Turkish Statistical Experimental Design Elective 3 - - 8
9101055132015 Turkish Queueing Theory Elective 3 - - 8
9101055192003 Turkish Econometric Methods Elective 3 - - 8
9101055232006 Turkish Order Statistics Theory Elective 3 - - 8
9101055252007 Turkish Statistical Computing Methods Elective 3 - - 8
9101055312010 Turkish Time Series Analysis Elective 3 - - 7
9101055412018 Turkish Statistical Methods in Validity and Reliability Analysis Elective 3 - - 8
9101055432019 Turkish Taguchi’s Philosophy and Dual Response Surface Approaches Elective 3 - - 8
İST-SG-YL-B - ELECTIVE COURSES 2
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9101055022006 Turkish General Linear Models Elective 3 - - 8
9101055042015 Turkish Biostatistics Elective 3 - - 8
9101055062004 Turkish Multivariate Statistical Analysis Elective 3 - - 8
9101055082015 Turkish Statistics For Engineering Elective 3 - - 8
9101055102007 Turkish Sampling Theory Elective 3 - - 8
9101055142015 Turkish System Simulation Elective 3 - - 8
9101055162020 Turkish Computer Based Statistics Elective 2 2 - 7
9101055262013 Turkish Probability and Statistics Elective 3 - - 8
9101055282010 Turkish Statistical Simulation Elective 3 - - 8
9101055342010 Turkish Nonparametric Statistics Elective 3 - - 8
9101055402010 Turkish Advanced Process Control Techniques Elective 3 - - 8
9101055412020 Turkish Robust Parameter Design For Multi-Response Processes Elective 3 - - 8
9101055422018 Turkish Categorical Data Analysis Elective 3 - - 7
9101055462010 Turkish Nonlinear Optimization Problems Elective 3 - - 8