It is a higher education program covering eight semesters based on secondary education qualifications and providing education oriented towards a specific field of study or profession.

Education and training are conducted in the form of formal education. Additionally, practical training is carried out through internships or workplace training in laboratories and workshops within higher education institutions, as well as in industries, public institutions, healthcare facilities, and workplaces.

Data Science and Analytics Bachelor of Science Program (%100 English)

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Data Science and Analytics Bachelor of Science Program (%100 English) Graph of Minimum and Maximum Scores by Year

Course adjustment and exemption procedures are carried out in accordance with the Exemption and Adjustment Procedures Regulation of Istanbul Technical University.
Exemption and Adjustment Procedures Regulation

The Department of Data Science and Analytics aims to equip students with the ability to develop innovative solutions for complex problems by utilizing data analysis, big data management, machine learning, and artificial intelligence techniques. In this context, advanced techniques for data collection, cleaning, and processing are applied, while optimization and modeling methods are used to design decision support systems.
Within the program, mathematical and statistical methods are effectively applied in data science practices to conduct scientific analyses. Courses such as probability theory, statistics, linear algebra, and discrete mathematics are utilized to extract meaningful insights through data mining and statistical modeling techniques.
Students gain competence in programming and algorithm development to create data-driven software solutions. By specializing in Python, R, and SQL, they build a strong foundation in data structures, algorithms, and database management.
Machine learning, deep learning, and artificial intelligence methods are applied to design data-driven systems. Supervised and unsupervised learning algorithms are implemented to solve real-world problems, while solutions are developed in areas such as natural language processing, computer vision, and time series analysis.
The department also enables students to specialize in big data technologies and data engineering processes to design scalable data systems. Cloud computing, distributed data processing, and data lakes are utilized effectively to build dynamic systems using real-time data processing techniques.
Additionally, students develop knowledge and skills to ensure responsible data management within the framework of data security, privacy, and ethical principles. Analyses are conducted in compliance with GDPR and KVKK data protection regulations, while strategies are developed to counter cybersecurity threats.

Student success is evaluated in consideration of Articles 20, 21, 22, 23, 24, and 25 of the Istanbul Technical University Undergraduate Education and Training Regulation. Click here for the relevant regulation.

This program 40 days contains mandatory intership.

• ITU Internship General Principles
• Department Internship Principles

Graduation procedures are carried out in accordance with Article 31 of the Istanbul Technical University Undergraduate Education and Training Regulation. Click here for the relevant regulation.

Degree : Bachelor of Science    Title : Data Scientist

Department of Data Science and Analytics equip students with theoretical knowledge and practical skills through courses such as Mathematics I & II, Discrete Mathematics, Probability Theory, Linear Algebra, Statistics, Data Analytics, Introduction to Data Science and Analytics, Deep Learning, Machine Learning, Big Data and Analytics, and Cybersecurity. This comprehensive education prepares them for a strong career in a wide range of industries.
Graduates of Data Science and Analytics have diverse career opportunities and can take on various roles in different industries. Our graduates work in technology-driven environments such as big data platforms, artificial intelligence laboratories, and data centers, as well as in industries like finance, healthcare, marketing, and manufacturing.
Career Fields for Graduates:
• Data Science and Analytics:
o Data Scientist
o Data Analyst
o Business Intelligence Specialist
o Big Data Specialist
o Machine Learning Engineer
o Deep Learning Specialist
• Information Technology and Software:
o Data Engineer
o Database Administrator
o Artificial Intelligence and Automation Specialist
o Cloud Computing Specialist
• Business and Consulting:
o Data-Driven Strategy and Business Development Specialist
o ERP Consultant
o Business Analyst
o Digital Transformation Consultant
o Financial Analyst
• Finance and Banking:
o Risk Analyst
o Fraud Detection Specialist
o Investment Strategy Analyst
• Healthcare and Bioinformatics:
o Healthcare Data Analyst
o Medical Imaging Specialist
o Disease Prediction and Patient Management Specialist
• Marketing and E-Commerce:
o Customer Analytics Specialist
o Digital Marketing Analyst
o Sales Forecasting Specialist
• Manufacturing and Logistics:
o Supply Chain Analyst
• Energy and Environment:
o Renewable Energy Data Analyst
o Energy Consumption Forecasting Specialist
• Aviation and Defense:
o Flight Safety Data Analyst
o Defense Technology Data Specialist

There are no graduates from 2025 or earlier. The 2026 graduate numbers have not yet been transferred to this page.

The qualification has not yet been incorporated into the TYÇ.

Prof. Dr. Muammer Altan Çakır
E-mail: cakirmua@itu.edu.tr
Web: https://research.itu.edu.tr/tr/persons/cakirmua

Prof. Dr. Mehmet Güray Güler
E-mail: mguler@itu.edu.tr
Web: https://research.itu.edu.tr/tr/persons/mguler