Data Science and Analytics
The Bachelor of Science in Data Science and Analytics (English) at Istanbul Technical University (İTÜ) is a modern undergraduate program started in 2024, focused on training students to understand and transform data into useful knowledge. In this program, you learn mathematics, statistics, programming, data analysis, machine learning, big data systems and data-driven decision-making. The studies combine theory with practice: you work on real data problems, learn algorithms, databases, data visualization and analytic methods. The curriculum helps you gain strong analytical thinking, problem-solving skills, and the ability to work with modern data tools and technologies.
Studying at İTÜ gives you access to experienced instructors, modern computing labs, and a supportive academic environment. You will also have chances to take projects, teamwork assignments, and practice data analysis on real datasets. The English-language instruction helps you prepare for international workplaces and global data careers. With data being important everywhere — in business, health, technology, science — this program prepares you to be ready for many different jobs where data matters.
Key information
Key Facts
- Degree: Bachelor of Science (B.Sc.)
- Standard period of study: 8 semesters
- Location: Istanbul (Maçka / İTÜ main campus)
- Study Type: Undergraduate (full-time, English track)
- Admission semester: Fall semester
- Area of study: Data Science, Analytics, Big Data, Machine Learning, Statistics, Computer Science
- Admission modus: Without additional restrictions beyond national placement (or standard admission procedures)
- Main language: English
Program Structure
Semester 1 – Foundations: Mathematics & Programming
- Mathematics I
- Introduction to Data Science and Analytics
- Fundamentals of Algorithm and Programming
- Fundamentals of Linux / IT Basics
Semester 2 – Core Math & Discrete Structures
- Mathematics II
- Discrete Mathematics
- Object Oriented Programming
- Probability Theory
Semester 3 – Data Systems & Statistics
- Database Management Systems
- Data Visualization
- Statistics
- Deterministic Models in Data Science
Semester 4 – Algorithms & Data Analysis
- Data Structures and Algorithms
- Stochastic Models in Data Science
- Data Analytics
- Elective or General Education Course
Semester 5 – Advanced Analytics & Machine Learning Intro
- Statistical Analysis & Modeling
- Machine Learning Basics
- Data Mining & Big Data Concepts
- Elective Course (e.g. Data Ethics, Visualization, IoT)
Semester 6 – Deep Learning, AI & Specialized Tools
- Machine Learning & Artificial Intelligence
- Big Data Systems & Cloud/Data Engineering
- Elective Course (e.g. Cybersecurity, Advanced Analytics)
- Data Project / Hands-on Practice
Semester 7 – Applied Data Projects & Industry Practice
- Data Science Project I (Team or Individual)
- Applied Analytics / Real-World Data Problems
- Elective Course
- Internship or Industry Linked Work
Semester 8 – Graduation Project & Professional Preparation
- Data Science Project II (Final Thesis or Applied Project)
- Data Ethics, Policy & Legal Aspects of Data Use
- Elective Course (Specialization, Research or Application Focus)
Career Opportunities
Graduates can work as data scientist, data analyst, big data engineer, machine learning engineer, business intelligence specialist, statistical modeller, or data-driven decision consultant. They may find jobs in finance, technology, health care, e-commerce, telecommunications, consultancy, research institutes or large enterprises. Because data is vital in many sectors, the skills from this program are highly sought after. Graduates can also continue with graduate studies or specialize further in data science, AI, statistics or related fields.
Why Choose This Program
Choosing the Data Science and Analytics program at ITU gives you the chance to learn both mathematics and programming together with modern data tools. You work with real datasets, learn to analyse problems and produce useful insights. The program includes many practical exercises that help you understand how data is used in business, technology and science. English instruction and international focus prepare you for global environments.
The program also opens many career paths because data is used in almost every sector today. You can work in finance, health, technology, telecommunications, consulting or research. You learn flexible skills like coding, modelling and analytical thinking that stay useful throughout your career. Projects, teamwork and presentations help you improve communication and professional skills. If you want a future-oriented education that connects technology with real-world problems, this program gives you a powerful foundation.
Contact Information
Istanbul Technical University – Department of Data Science and Analytics
Maçka Campus, 34367 Maçka, Istanbul, Turkey
Tel: +90 212 296 40 40
Email: dsa@itu.edu.tr
Faculty of Management – Student Affairs Office
Maçka Campus, Istanbul, Turkey
Tel: +90 212 296 40 40
Email: studentaffairs@vba.itu.edu.tr
International Office – İstanbul Technical University
Ayazağa / Maslak Campus, Istanbul, Turkey
Tel: +90 212 285 71 13
Email: international@itu.edu.tr
