The Bachelor of Science in Statistics at METU is an undergraduate program designed to train students in both theoretical and applied statistical science. The program covers probability theory, mathematical statistics, data analysis, statistical computing and methodological training in data interpretation and research design. Students gain strong analytical, quantitative and computational skills, preparing them to work with data, conduct empirical studies, and contribute to research across diverse fields such as science, industry, social sciences and data-driven sectors.
Located in Ankara, this program combines rigorous mathematical foundations with practical statistical training and computing skills. With courses in probability, statistics, mathematics and computing, students are equipped for careers in statistics, data science, research, quality control, analytics, and further graduate studies. The department emphasizes both methodological competence and adaptability to evolving data-oriented environments.
Key information
Key Facts
- Degree: Bachelor of Science (B.Sc.) in Statistics
- Standard period of study: 8 semesters
- Location: Ankara
- Study Type: Undergraduate (full-time, English-medium)
- Admission semester: Fall semester
- Area of study: Probability, Mathematical & Applied Statistics, Data Analysis, Statistical Computing, Research Methods
- Admission modus: Regular undergraduate admissions
- Main language: English
Program Structure
Semester 1 – Foundations of Mathematics & Statistics Basics
- Fundamentals of Mathematics / Calculus I
- Introduction to Statistics & Probability I
- General Mathematics / Supporting Mathematics
- Introductory Computing or IT Skills
- Academic English / Foundation Courses
Semester 2 – Probability & Statistical Methods
- Calculus II / Mathematics for Statistics
- Probability Theory I
- Descriptive Statistics & Data Analysis Fundamentals
- Basic Mathematics / Supporting Courses
- Supporting Elective Courses
Semester 3 – Core Statistical Theory I
- Probability Theory II
- Mathematical Statistics I
- Linear Algebra / Analytical Mathematics
- Statistical Computing / Intro to Data Programming
- Applied / Supporting Courses
Semester 4 – Core Statistical Theory II
- Mathematical Statistics II
- Introduction to Statistical Inference & Estimation
- Applied Statistics & Data Analysis Methods
- Computational Statistics / Data Methods
- Supporting / Elective Courses
Semester 5 – Applied & Computational Statistics
- Regression & Linear Models
- Experimental Design & Statistical Modelling
- Statistical Computing / Data Analysis Practices
- Elective Courses (related to applied statistics or interdisciplinary fields)
- Supporting / Elective Courses
Semester 6 – Advanced Statistical Methods & Applications
- Statistical Inference & Advanced Methods
- Probability & Stochastic Processes for Applications
- Statistical Software / Data Science Tools & Projects
- Elective / Applied Statistics Courses
Semester 7 – Specialization & Research Preparation
- Specialized Statistics Electives (e.g. time-series, biostatistics, computational statistics)
- Data Analysis Project / Applied Statistics Project
- Research Design & Methodology / Seminar Courses
- Elective Courses
Semester 8 – Graduation Project / Capstone & Professional Preparation
- Senior Project or Undergraduate Research Project in Statistics
- Advanced electives in chosen specialization
- Data Analysis / Applied Statistics Lab or Project Work
- Preparation for graduation, further studies or professional career
Career Opportunities
Graduates are eligible for careers in data science, research and development, analytics, quality control, actuarial science, governmental or private sector statistical analysis, biostatistics, market research, academic research or graduate studies. They may work as statisticians, data analysts, research scientists, quantitative analysts, statist-method specialists, or pursue M.Sc. / Ph.D. programs in statistics, data science, applied mathematics, or related fields.
Why Choose This Program
Choosing the Statistics B.Sc. at METU provides a strong, versatile foundation in both theoretical and applied statistics, combining mathematical depth with data-oriented skills. The program equips students with analytical, computational and methodological competence — ideal for careers in a data-driven age and for tackling complex quantitative problems across disciplines.
The balance between theory, practical data analysis, and flexibility through electives makes it suitable for those aiming for research, industry, data science or further academic paths.
Contact Information
Middle East Technical University – Faculty of Arts and Sciences / Department of Statistics
Dumlupınar Boulevard No:1, 06800
Çankaya, Ankara, Türkiye
Tel: +90 312 210 1234
Email: statistics@metu.edu.tr
Department of Statistics – Student Affairs Office
Faculty of Arts and Sciences, METU
06800 Ankara, Türkiye
Tel: +90 312 210 1235
Email: stats-undergrad@metu.edu.tr
International Office – Middle East Technical University
METU Campus, 06800
Çankaya, Ankara, Türkiye
Tel: +90 312 210 1060
Email: ico@metu.edu.tr
