DEGREE PROGRAMMES

: Statistics (English)

DEGREE PROGRAMMES

General Description

History

Established within the Faculty of Arts and Sciences, the Department of Statistics started postgraduate education in the 1994-1995 academic year. Under the Department of Statistics, Master's degree in Statistics , Master's degree in Statistics Scientific Preparation, Master's Degree in Data Science (with and without Thesis), Doctorate degree in Statistics programs are carried out. The graduate program of the Department of Statistics is 100% in English. The aim of the program is to combine statistical theory and programming knowledge and skills for people who aim to pursue a career in fields such as Statistics, Data Science, Data Analytics, Machine Learning, Artificial Intelligence, Big Data, and to provide the necessary pre-knowledge in these fields and to prepare the infrastructure for doctoral programs. The compulsory and elective courses of the program cover the theory and applications of Statistics, as well as an intensive computer programming content. Basically, it is aimed that students gain the skills of accessing information, and improve their ability to evaluate and interpret the information they have obtained.

Qualification Awarded

PhD in Statistics

Level of Qualification

Third Cycle (doctorate degree)

Specific Admission Requirements

Second Cycle Degree in the same or in related disciplines. Acceptable score on ALES (Academic Personnel and Graduate Education Entrance Exam) or Equivalent GRE, GMAT score. Acceptable score on Language Proficiency Tests. Acceptable weighted score based on the first or second cycle (with thesis) cumulative grade point average (GPA) and ALES score. However, ALES requirement is waived for the graduates of doctorate /arts proficiency/medical residency/ dental residency/ veterinary residency/ pharmaceutical residency programs as well as for the admissions to the graduate programs offered by the Conservatory and the departments of Fine Arts Faculty, where students are admitted only by the Artistic Aptitude Test. Final admission is based on the evaluation of the related academic unit committee. International student admission requirements are decided by the Graduate School Executive Committee.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

Qualification Requirements and Regulations

Profile of the Programme

Key Learning Outcomes

1   To have an advanced level theory and application backround in statistics.
2   To have an advanced level literature knowledge about his/her dissertation .
3   To publish at least one research paper about his/her dissertation in a SCI or SCI-EXP journal.
4   To propose a new method or an approach for a problem related with his/her dissertation.
5   To be able to superwise a research which is about his/her dissertation.
6   To understand and interpret new statistical methods and approaches in a systematic manner.
7   To understand the interaction with statistics and other disciplines and to use his/her statistical backround while evaluating new ideas.
8   To defend ideas about his/her statistical research area in a professional community.
9   To have advanced communication skills in at least one foreing language as verbal, visual or written.
10   By improving the sense of statistics science in a community, to contribute the process of being an information society.

Occupational Profiles of Graduates with Examples

Access to Further Studies

Course Structure Diagram with Credits


T: Theoretical P: Practice L: Laboratory
B: Spring Semester G: Fall Semester H: Full Year
ALL COURSES
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
Z 1 STA 5021 STATISTICAL SOFTWARE İN DATA ANALYSIS ELECTIVE 2 2 0 7
Z 2 STA 5054 NONPARAMETRIC STATISTICS ELECTIVE 3 0 0 8
Z 3 STA 5058 MULTIVARIATE STATISTICS ELECTIVE 3 0 0 8
Z 4 STA 5059 STATISTICAL RESEARCH METHODOLOGY I ELECTIVE 3 0 0 7
Z 5 STA 5060 STATISTICAL RESEARCH METHODOLOGY - II ELECTIVE 3 0 0 8
Z 6 STA 5068 STATISTICAL DESIGN OF EXPERIMENTS ELECTIVE 3 0 0 8
Z 7 STA 5069 BIO-STATISTICS ELECTIVE 3 0 0 7
Z 8 STA 5071 STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 7
Z 9 STA 5074 SIX SIGMA IN QUALITY MANAGEMENT ELECTIVE 2 2 0 8
Z 10 STA 5075 REGRESSION ANALYSIS ELECTIVE 3 0 0 7
Z 11 STA 5078 NONLINEAR TIME SERIES ANALYSIS ELECTIVE 3 0 0 8
Z 12 STA 5079 OPERATIONS RESEARCH IN LOGISTICS ELECTIVE 3 0 0 7
Z 13 STA 5082 GAME THEORY ELECTIVE 3 0 0 8
Z 14 STA 5083 DISCRETE OPTIMIZATION ELECTIVE 3 0 0 7
Z 15 STA 5084 NETWORK ANALYSIS ELECTIVE 3 0 0 8
Z 16 STA 5086 INVENTORY THEORY ELECTIVE 3 0 0 8
Z 17 STA 5088 STATISTICAL SIMULATION ELECTIVE 3 0 0 8
Z 18 STA 5091 FINANCIAL MATHEMATICS ELECTIVE 3 0 0 7
Z 19 STA 5093 MATHEMATICAL MODELING AND LINEAR OPTIMIZATION ELECTIVE 3 0 0 7
Z 20 STA 5094 LOSS MODELS ELECTIVE 3 0 0 8
Z 21 STA 6001 ADVANCED STATISTICAL INFERENCE - I ELECTIVE 3 0 0 8
Z 22 STA 6002 ADVANCED STATISTICAL INFERENCE - II ELECTIVE 3 0 0 9
Z 23 STA 6003 ADVANCED PROBABILITY THEORY ELECTIVE 3 0 0 8
Z 24 STA 6004 ADVANCED EXPERIMENTAL DESIGN ELECTIVE 3 0 0 8
Z 25 STA 6007 ADVANCED SAMPLING THEORY ELECTIVE 3 0 0 8
Z 26 STA 6011 MULTIVARIATE ANALYSIS ELECTIVE 3 0 0 8
Z 27 STA 6043 OPTIMIZATION THEORY ELECTIVE 3 0 0 8
Z 28 STA 6045 LIFE CONTINGENCIES-I ELECTIVE 3 0 0 8
Z 29 STA 6046 LIFE CONTINGENCIES-II ELECTIVE 3 0 0 8
Z 30 STA 6051 DYNAMIC PROGRAMMING ELECTIVE 3 0 0 8
Z 31 STA 6052 MATHEMATICAL RISK THEORY ELECTIVE 3 0 0 8
Z 32 STA 6053 HEURISTIC SEARCH METHODS ELECTIVE 3 0 0 5
Z 33 STA 5023 CATEGORICAL DATA ANALYSIS ELECTIVE 3 0 0 7
Z 34 STA 5025 POWER ANALYSIS OF STATISTICAL METHODS ELECTIVE 3 0 0 7
Z 35 STA 6015 DATA MINING TECHNIQUES IN STATISTIC ELECTIVE 3 0 0 8
Z 36 STA 5012 NONLINEAR OPTIMIZATION ELECTIVE 3 0 0 8
Z 37 STA 5024 ALTERNATIVE REGRESSION METHODS ELECTIVE 3 0 0 8
Z 38 STA 6016 SOFT COMPUTING TECHNOLOGIES ELECTIVE 3 0 0 8
Z 39 STA 5026 ROBUST ESTIMATION METHODS AND HYPOTHESIS TESTING ELECTIVE 3 0 0 8
Z 40 STA 5095 STATISTICAL PROCESS DESIGN AND IMPROVEMENT ELECTIVE 3 0 0 7
Z 41 STA 5013 TOTAL QUALITY MANAGEMENT AND AUDITING ELECTIVE 3 0 0 7
Z 42 STA 5015 STOCHASTIC PROCESSES ELECTIVE 3 0 0 8
Z 43 STA 5032 ADVANCED STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 8
Z 44 STA 5053 PROBABILITY AND STATISTICAL INFERENCE - I REQUIRED 3 0 0 8
Z 45 STA 5090 SPECIAL TECHNIQUES IN QUALITY MANAGEMENT ELECTIVE 3 0 0 8
Z 46 STA 5104 QUEUING THEORY ELECTIVE 3 0 0 8
Z 47 STA 5102 DECISION THEORY ELECTIVE 3 0 0 8
Z 48 STA 6018 ADVANCED STOCHASTIC PROCESSES ELECTIVE 3 0 0 8
Z 49 STA 5009 SAMPLING AND SURVEY DESIGN ELECTIVE 3 0 0 8
Z 50 STA 5007 RESAMPLING METHODS ELECTIVE 3 0 0 8
Z 51 STA 5027 STATISTICAL DEPENDENCE AND COPULA THEORY IN FINANCE ELECTIVE 3 0 0 7
Z 52 STA 6009 ASSESSMENT OF INFLUENCE IN REGRESSION ELECTIVE 3 0 0 8
Z 53 STA 6013 ASYMPTOTIC THEORY FOR TIME SERIES ELECTIVE 3 0 0 8
Z 54 STA 5106 GENERALIZED LINEAR MODELS ELECTIVE 3 0 0 8
Z 55 STA 6054 ADVANCED TIME SERIES ANALYSIS ELECTIVE 3 0 0 8
Z 56 STA 5031 LINEAR STATISTICAL MODELS ELECTIVE 3 0 0 8
Z 57 STA 5108 ORDERED RANDOM VARIABLES ELECTIVE 3 0 0 7
Z 58 STA 5110 SURVIVAL ANALYSIS ELECTIVE 3 0 0 7
Z 59 STA 5112 STATISTICAL METHODS IN MACHINE LEARNING ELECTIVE 3 0 0 8
Z 60 STA 5107 META ANALYSIS ELECTIVE 3 0 0 8
Z 61 STA 5105 LINEAR TIME SERIES ANALYSIS ELECTIVE 3 0 0 8
Z 62 STA 5103 COMPUTATIONAL STATISTICS ELECTIVE 3 0 0 8
Z 63 STA 5101 EXPLORATORY DATA ANALYSIS WITH R ELECTIVE 3 0 0 8
Z 64 STA 5109 RELIABILITY THEORY AND METHODS ELECTIVE 3 0 0 8
G 65 FBE 5557 SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS REQUIRED 3 0 0 5
B 66 STA 5056 PROBABILITY AND STATISTICAL INFERENCE - II REQUIRED 3 0 0 9
B 67 MAT 5102 NUMERICAL AND APPROXIMATE METHODS REQUIRED 3 0 0 9
B 68 STA 6099 PH.D. THESIS THESIS 0 0 0 150
B 69 STA 6094 PH.D. SEMINAR SEMINAR 0 3 0 5
B 70 FBE 6668 PHILOSOPHY OF SCIENCE AND ETHICS REQUIRED 3 0 0 5
B 71 STA 6098 PH.D. RESEARCH EXPERTNESS 3 0 0 9

Examination Regulations, Assessment and Grading

Graduation Requirements

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

Programme Director or Equivalent

Head of Department:Prof.Dr.Burcu Hüdaverdi
E-mail : istatistik@deu.edu.tr
Telephone : +90 232 - 3018510
Dokuz Eylül Üniversitesi Fen Fakültesi
Tınaztepe Kampüsü
35390 Buca / İzmir

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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