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The Applied Statistics (With Thesis) program at Izmir University of Economics is designed to equip students with comprehensive knowledge and practical skills in the field of statistical analysis and data interpretation. This program aims to prepare graduates who can excel in various sectors such as finance, healthcare, marketing, technology, and government by providing a solid foundation in theoretical and applied statistics. Throughout the curriculum, students engage with a wide range of courses covering probability theory, statistical inference, regression analysis, time series analysis, multivariate statistics, and experimental design, ensuring they acquire the necessary tools to analyze complex datasets effectively.
In addition to core statistical concepts, the program emphasizes the development of practical skills through software applications such as R, Python, SPSS, and SAS, enabling students to handle real-world data problems efficiently. A significant component of the program is the thesis project, which allows students to conduct original research under academic supervision, applying their statistical knowledge to solve practical issues in a domain of their interest. This research experience fosters critical thinking, problem-solving, and independent working skills that are highly valued in the job market.
The curriculum is periodically updated to reflect the latest developments in statistical methodology and emerging trends like data science, machine learning, and artificial intelligence. Students are encouraged to participate in internships, seminars, and workshops organized by the university to gain hands-on experience and build professional networks. The program also aims to develop students' communication skills, enabling them to present complex statistical findings clearly and effectively to both technical and non-technical audiences.
Graduates of the Applied Statistics (With Thesis) program will be well-prepared for employment in diverse fields requiring data analysis expertise or for pursuing advanced studies at the master's and doctoral levels. The program’s combination of theoretical background, practical skills, and research experience ensures that students graduate as competent, adaptable, and innovative professionals ready to meet the data-driven challenges of the modern world.
To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.
1. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 001 | Elective Course I | 3 | 0 | 3 | 7.5 | |
ELEC 002 | Elective Course II | 3 | 0 | 3 | 7.5 | |
STAT 501 | Theory of Statistics | 3 | 0 | 3 | 7.5 | |
STAT 503 | Probability Theory | 3 | 0 | 3 | 7.5 | |
Total : | 30 |
1. Year Spring Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 003 | Elective Course III | 3 | 0 | 3 | 7.5 | |
ELEC 004 | Elective Course IV | 3 | 0 | 3 | 7.5 | |
GSNS 595 | Seminar | 0 | 0 | 0 | 7.5 | |
STAT 505 | Applied Statistical Analysis | 3 | 0 | 3 | 7.5 | |
Total : | 30 |
2. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
STAT 599 | M.S. Thesis | 0 | 0 | 0 | 30 | |
Total : | 30 |
2. Year Spring Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
STAT 599 | M.S. Thesis | 0 | 0 | 0 | 30 | |
Total : | 30 |
Elective Courses | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ECON 517 | Financial Econometrics | 3 | 0 | 3 | 7.5 | |
FM 506 | Stochastic Processes in Finance | 3 | 0 | 3 | 7.5 | |
FM 551 | Scientific Computation and Simulation in Finance | 3 | 0 | 3 | 7.5 | |
IE 502 | Probabilistic Systems Analysis | 3 | 0 | 3 | 7.5 | |
IES 503 | Artificial Intelligence | 3 | 0 | 3 | 7.5 | |
IES 508 | System Simulation and Modeling | 3 | 0 | 3 | 7.5 | |
IES 509 | Heuristics | 3 | 0 | 3 | 7.5 | |
IES 511 | Machine Learning | 3 | 0 | 3 | 7.5 | |
IES 513 | Mathematical Programming and Applications | 3 | 0 | 3 | 7.5 | |
IES 534 | Nonlinear Programming | 3 | 0 | 3 | 7.5 | |
IES 570 | Criptology and Computer Security | 3 | 0 | 3 | 7.5 | |
MATH 504 | Statistics | 3 | 0 | 3 | 7.5 | |
MATH 505 | Advanced Mathematical Analysis | 3 | 0 | 3 | 7.5 | |
MATH 508 | Partial Differential Equations | 3 | 0 | 3 | 7.5 | |
MATH 553 | Optimization | 3 | 0 | 3 | 7.5 | |
MATH 555 | Financial Mathematics | 3 | 0 | 3 | 7.5 | |
MATH 600 | Mathematics Softwares and Research Methods | 3 | 0 | 3 | 7.5 | |
MATH 601 | Differential Equations | 3 | 0 | 3 | 7.5 | |
MATH 602 | Advanced Linear Algebra and Optimization | 3 | 0 | 3 | 7.5 | |
MATH 670 | Set Theoretic Topology | 3 | 0 | 3 | 7.5 | |
MATH 671 | Fuzzy Optimization | 3 | 0 | 3 | 7.5 | |
MATH 672 | Algebra | 3 | 0 | 3 | 7.5 | |
MATH 673 | Computational Commutative Algebra | 3 | 0 | 3 | 7.5 | |
MATH 674 | Group Theory and Its Applications | 3 | 0 | 3 | 7.5 | |
MATH 675 | Applications of Modules and Representation Theory | 3 | 0 | 3 | 7.5 | |
STAT 502 | Stochastic Processes | 3 | 0 | 3 | 7.5 | |
STAT 504 | Nonparametric Statistics | 3 | 0 | 3 | 7.5 | |
STAT 506 | Multivariate Statistics and the Theory of Copulas | 3 | 0 | 3 | 7.5 | |
STAT 551 | Actuaria | 3 | 0 | 3 | 7.5 | |
STAT 552 | Ordered Random Variables | 3 | 0 | 3 | 7.5 | |
STAT 553 | Reliability | 3 | 0 | 3 | 7.5 | |
STAT 554 | Statistical Process Control | 3 | 0 | 3 | 7.5 | |
STAT 555 | Risk Analysis | 3 | 0 | 3 | 7.5 | |
STAT 556 | Linear Statistical Models | 3 | 0 | 3 | 7.5 | |
STAT 557 | Time Series Analysis | 3 | 0 | 3 | 7.5 | |
STAT 558 | Design of Experiment | 3 | 0 | 3 | 7.5 | |
STAT 559 | Advanced Probability Theory | 3 | 0 | 3 | 7.5 | |
STAT 560 | Statistical Methods in Biology and Medical Sciences | 3 | 0 | 3 | 7.5 | |
STAT 561 | Statistical Softwares and Simulation | 3 | 0 | 3 | 7.5 | |
STAT 562 | Combinatorial Analysis and Discrete Distributions | 3 | 0 | 3 | 7.5 | |
STAT 563 | Statistical Decision Theory | 3 | 0 | 3 | 7.5 | |
STAT 601 | Probability Theory and Mathematical Statistics | 3 | 0 | 3 | 7.5 |
The students studying in this second cycle program with thesis are required:
to take a minimum of 7 courses with a minimum of 21 local credits, one seminar course, and a thesis. (The seminar and thesis are non-credit and graded on a pass/fail basis.)
to succeed in all the courses with a letter grade of at least CC/S
to have a Cumulative Grade Point Average of at least 3.00/4.00 with a minimum of 120 ECTS credits.
B-2 FOREIGN NATIONALS:
To hold an Undergraduate Degree Diploma from a (4 year) higher education institution that is recognized by the Higher Education Board
To graduate from undergraduate program (4 year) of Departments of Industrial Engineering, System Engineering, Computer Sciences, Computer Engineering, Software Engineering, Electrical/ Electronics/Telecommunication Engineering, Information, Computer and Teaching Technologies Teaching, Computer Education, Electrical Electronics Education, Computer Technologies, Mechatronics, Mathematics, Physics, Business Administration, Logistics Management, or related departments to apply for Intelligent Engineering Systems master program,
To graduate from undergraduate program (4 year) of Departments Architecture, Interior Architecture, City and Regional Planning, and other related design fields to apply for Architecture master program,
To be exempt from foreign language proficiency, students need to meet the below requirements:
To be graduated from a higher education program in which the medium of instruction is the same language as in the master program applied for within three years following their graduation,
To obtain the scores in the exams specified below, or obtain an equivalent score in the internationally recognized foreign language exams that are deemed equivalent to the exams specified below by the Higher Education Board.
Type of Exam |
Score |
KPDS ( Public Personnel Language Exam ) |
65 |
UDS ( Interuniversity Foreign Language Exam ) |
65 |
YDS (Foreign Language Placement Exam) |
65 |
IYS (IUE Proficiency in English Exam) |
65
|
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.
The financing studies for the Applied Statistics (With Thesis) program at Izmir University of Economics are primarily supported through a combination of various funding sources designed to facilitate student participation and ensure the academic integrity of research components. Tuition fees constitute the main financial obligation for students enrolling in the program, with structured payment plans offered to accommodate different financial situations. Scholarships and financial aid opportunities are available for qualified students, aiming to promote access to higher education and support academic excellence. These scholarships may be awarded based on academic performance, need, or specific criteria related to the applicant's background or research interests. The university collaborates with governmental agencies, private sector partners, and international organizations to secure additional funding, grants, and sponsorships which may indirectly benefit students through research grants or competition awards.
Moreover, students undertaking the thesis component often have opportunities to receive research grants or subsidies to cover costs related to their research activities, including data collection, analysis, and presentation of findings at academic conferences. The university also encourages students to seek external funding sources, such as European Union research grants or industry sponsorships, especially those involved in applied statistics and data analysis projects with practical applications. The program's structure emphasizes practical training and research, which may involve project-based work that is often financed through external collaborations or internships, offering students financial compensation or stipends in some cases.
Furthermore, the university offers various work-study programs, part-time employment options within campus facilities, and teaching assistantships, enabling students to earn income while pursuing their studies. These opportunities not only support students’ financial needs but also enhance their professional experience and academic engagement. Overall, the financing studies for the Applied Statistics (With Thesis) program are designed to provide comprehensive financial support mechanisms, encouraging a diverse and talented student body to develop advanced statistical skills and research capabilities. The university remains committed to maintaining accessible education and fostering an environment conducive to innovative research, which is ultimately reflected in the multifaceted financial support options available to students enrolled in this program.
The Bachelor's Degree in Applied Statistics (With Thesis) at Izmir University of Economics offers students a comprehensive education in statistical methods, data analysis, and applied research techniques. The programme is designed to equip students with both theoretical foundations and practical skills necessary for careers in data-driven industries, academia, and research institutions. Throughout the programme, students engage in rigorous coursework covering probability theory, statistical inference, regression analysis, multivariate statistics, and statistical computing. The curriculum is complemented by electives that may include data mining, machine learning, and specialized applications in economics, marketing, or social sciences.
A distinctive feature of this programme is the thesis component, which provides students with an opportunity to undertake original research under academic supervision. The thesis process fosters critical thinking, problem-solving, and independent research skills, preparing graduates for either advanced studies or professional roles that require analytical expertise. Students are encouraged to collaborate with industry partners or research centers, gaining practical insights and real-world experience.
The programme emphasizes the development of quantitative skills alongside effective communication of statistical findings. Practical training includes use of statistical software such as R, SPSS, or STATA, which are essential tools in contemporary data analysis. The faculty comprises experienced academics and industry professionals committed to providing quality education and mentorship.
Graduates of the Applied Statistics (With Thesis) programme are well-prepared to enter various fields such as finance, marketing analysis, health sciences, sports analytics, and governmental agencies. They locate employment in data analysis firms, research organizations, or pursue postgraduate studies to further enhance their expertise. The programme's curriculum is regularly updated in response to advancements in statistical methods and industry needs, ensuring that students receive relevant and current education.
Facilities at Izmir University of Economics support active learning, including computer labs equipped with statistical software, access to online resources, and spaces for collaborative projects. The university maintains strong links with local industries and business communities to facilitate internships and practical applications of academic knowledge. Overall, the Applied Statistics (With Thesis) programme aims to cultivate versatile, skilled analysts capable of addressing complex data challenges in diverse sectors, thereby contributing to the decision-making processes of organizations and society at large.