Akdeniz University

Bachelor in Artificial Intelligence and Data Engineering

Antalya, Turkey Taught in English Open to international students

About the Program

Artificial Intelligence and Data Engineering is an interdisciplinary field that combines computer science, statistics, and mathematics to study how machines can process large amounts of data, recognize patterns, and support automated decision-making. Students in this field learn how algorithms are designed to learn from data, how large datasets are collected, cleaned, and stored, and how intelligent systems are built, tested, and deployed. A typical program covers programming, data structures and algorithms, probability and statistics, machine learning, database systems, and data engineering pipelines, along with more specialized topics such as natural language processing, computer vision, or big data infrastructure. Project work is central to the discipline, with students frequently working on datasets and building models as part of their coursework. Graduates from this field pursue roles such as data engineer, machine learning engineer, data analyst, and AI application developer, working in industries including technology, finance, healthcare, and e-commerce where data-driven systems are increasingly used. The combination of programming skills and statistical reasoning developed in the program also provides a foundation for graduate study in computer science, data science, or related quantitative fields. This bachelor's program in Artificial Intelligence and Data Engineering is offered at Akdeniz University in Antalya, Turkey, with instruction delivered in English over 4 years. As a relatively new and fast-growing discipline, the program is designed to give students both the mathematical grounding and the practical engineering skills needed to work with modern data systems. The English-medium instruction is intended to prepare graduates to collaborate with international teams and pursue further study or employment in global technology and data-related fields.

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