ege university
Bachelor of Science
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Ege University
Turkey

Artificial Intelligence and Data Engineering

About

The Bachelor of Science in Artificial Intelligence and Data Engineering (English) is a modern undergraduate program designed to provide students with robust knowledge in data science, artificial intelligence, and engineering fundamentals. The program combines theory and hands-on practice to teach students how to collect, analyze, and process large data sets; build intelligent systems; and design data-driven solutions. It emphasizes both algorithmic foundations and practical applications, preparing graduates for roles in cutting-edge AI, big data, machine learning, and analytics fields.

Located in İzmir, this English-medium program offers an internationally oriented curriculum aligned with global standards. Through courses in software engineering, algorithms, data technologies and related fields, students gain strong technical capabilities and adaptivity to evolving technologies. The degree spans four years (eight semesters) and is designed to prepare students for careers in national and international technology sectors, research, and industry.

Key information

Duration
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Tuition fee
$0.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Degree: Bachelor of Science (B.Sc.)
  • Standard period of study: 4 years (8 semesters)
  • Location: İzmir / Ege University, Turkey
  • Study Type: Undergraduate (full-time, international)
  • Admission semester: Fall semester only
  • Area of study: Artificial Intelligence, Data Engineering, Software & Data Technologies
  • Admission modus: According to university admission regulations
  • Main language: English

Program Structure

Semester 1 – Foundations of AI & Data Engineering

  • Introduction to Artificial Intelligence & Data Engineering
  • Mathematics for Engineering (Calculus & Linear Algebra)
  • Programming Fundamentals
  • Introduction to Information Systems / Basic Computing Concepts

Semester 2 – Core Computing & Data Foundations

  • Data Structures & Algorithms
  • Statistics & Probability for Data Science
  • Database Systems & Data Management
  • Discrete Mathematics / Logic Design

Semester 3 – Software Engineering & Data Technologies

  • Fundamentals of Software Engineering
  • Computer Architecture / Systems Programming
  • Data Communication & Networks
  • Data Modeling & Database Design

Semester 4 – Data Analysis & Machine Learning Basics

  • Introduction to Machine Learning / AI core courses
  • Data Mining / Big Data Fundamentals
  • Software Engineering Project I
  • Ethics & Legal Issues in AI and Data Use

Semester 5 – Advanced AI & Data Systems

  • Machine Learning & Statistical Learning Methods
  • Big Data Systems & Cloud Computing
  • Web Programming / Full-Stack Data Applications
  • Elective Course I (e.g. specialization in Data Science or AI)

Semester 6 – Applied AI & Data Engineering

  • Deep Learning / Neural Networks & Computer Vision / NLP
  • Data Security & Privacy / Cybersecurity for Data Systems
  • Distributed Systems / Parallel & Big Data Processing
  • Elective Course II (specialization or interdisciplinary course)

Semester 7 – Research / Projects & Professional Development

  • AI & Data Engineering Project I (team-based / applied)
  • Elective Course III (specialization or complementary skill)
  • Elective Course IV (specialization or interdisciplinary)
  • Internship / Practical Training or Industry Collaboration

Semester 8 – Final Capstone & Portfolio

  • Graduation Project / Thesis in AI or Data Engineering
  • Elective Course V (advanced topic / specialization)
  • Presentation & Portfolio Development
  • Professional Preparation & Industry-oriented Electives

Career Opportunities

Graduates of this program are prepared for a wide range of roles in the rapidly growing fields of artificial intelligence, data science, and information technology. Potential career paths include: data scientist, machine learning / AI engineer, data engineer, big data analyst, software developer with focus on data-driven applications, research assistant, or data architect. The degree also opens doors to work in research institutions, tech companies, startups, and international organizations focusing on AI, big data, analytics, and intelligent systems.

Why Choose This Program

Choosing the Bachelor of Science in Artificial Intelligence and Data Engineering (English) means joining a program that merges rigorous scientific foundations with modern data and AI technologies. With a curriculum that spans from core mathematics and programming through advanced AI, big data, and machine learning, students gain both breadth and depth in computing and data.

Moreover, being taught in English makes this program ideal for students aiming for international careers or postgraduate education abroad. The combination of theoretical knowledge, practical training, and elective flexibility ensures graduates leave with both technical competence and adaptability to evolving industry demands.

Contact Information

Faculty of Engineering – Student Advisory Service
Bornova Campus
35100 İzmir, Türkiye
Tel: +90 232 388 00 00
Fax: +90 232 339 00 00
Email: info@ege.edu.tr

Artificial Intelligence & Data Engineering Department – Programme Contact
Faculty of Engineering
35100 İzmir, Türkiye
Tel: +90 232 388 72 21
Email: ai_dept@ege.edu.tr

International Office – Ege University
Bornova Campus
35100 İzmir, Türkiye
Tel: +90 232 311 10 10
Fax: +90 232 311 10 11
Email: internationaloffice@ege.edu.tr