The Master of Science in Applied AI – Data Engineering Specialization is a postgraduate program designed to provide students with advanced expertise in artificial intelligence, with a strong emphasis on data engineering and scalable data systems. The program prepares graduates to design, develop, and manage data infrastructures that power modern AI-driven applications across a wide range of industries.

Students gain in-depth knowledge in areas such as big data technologies, data pipelines, cloud computing, database systems, and machine learning. The curriculum focuses on integrating AI models with efficient data processing frameworks, enabling students to work with large, complex datasets and deliver data-driven solutions.

The program combines theoretical foundations with practical, hands-on experience through projects and applied learning, allowing students to build and optimize data architectures and implement AI solutions in real-world contexts. It also addresses important considerations such as data governance, ethics, and security in AI systems.

The course culminates in a research project or thesis, where students can specialize in a chosen area within applied AI and data engineering. Graduates are well-prepared for roles such as data engineer, machine learning engineer, AI specialist, and data architect, as well as for further academic research or doctoral study.