Artificial Intelligence and Data Engineering

Engineering the Technologies of the Future

The Department of Artificial Intelligence and Data Engineering aims to educate engineers who will shape the future in the rapidly growing and transformative fields of artificial intelligence, data science, big data analytics, machine learning, and deep learning.

About the Department

Artificial intelligence technologies and data-driven engineering applications are at the forefront of transformation across a wide range of fields, from science and industry to finance and healthcare.

In line with this vision, our department provides students with a strong engineering foundation while offering an academic environment where they can specialize in artificial intelligence, data science, and big data technologies. The language of instruction is English, and students are equipped with the latest software tools and algorithmic approaches to prepare them for careers in both national and international technology ecosystems.

High-Demand Careers Worldwide

Artificial intelligence and data technologies are shaping some of the fastest-growing professions in the world.

According to workforce analyses by the U.S. Bureau of Labor Statistics (BLS), LinkedIn, the World Economic Forum, and other global labour market analyses, the most in-demand bachelor's degree careers for 2026-2036 are closely aligned with the Department's areas of education.

Areas of Focus

The Department's education and research activities focus on the following key areas. These areas constitute the core specialization fields within the Department's curriculum.

  • Artificial Intelligence
  • Data Science
  • Big Data Analytics
  • Machine Learning
  • Deep Learning
  • Data Engineering
  • Data Mining
  • Big Data Systems
  • Natural Language Processing (NLP)
01

Career Opportunities Across Industries

Graduates of the Department of Artificial Intelligence and Data Engineering can pursue careers across a wide range of industries, from information technologies and manufacturing to healthcare and the defense industry.

02

Research and Learning Environment

Our students have access to the Faculty's digital and computational research facilities, providing practical environments that support artificial intelligence and data analytics applications.

03

Learning in Collaboration with Industry

Throughout their studies, our students have the opportunity to work on collaborative projects with leading technology companies. Through mandatory internships and capstone projects, they develop solutions to real-world challenges under the mentorship of industry professionals.

Highlights

Applied, current, and industry-connected engineering education.

  • English-medium instruction
  • Artificial intelligence-focused engineering education
  • Data science and big data technologies
  • Machine learning and deep learning
  • Natural language processing
  • State-of-the-art software tools and algorithmic approaches
  • Digital and computational research infrastructure
  • Industry collaborations
  • Mandatory internship
  • Capstone projects
  • Mentorship opportunities