COURSE CURRICULUM

The study contents of this program are designed to provide a strong combination of advanced IT foundations, data science specialisation, and practical application. You will begin by deepening your knowledge of core IT topics, including advanced programming concepts, IT security, network technologies, cloud computing, distributed systems, and modern software engineering and system architecture. Building on this technical foundation, the program then focuses on data science and artificial intelligence, where you will explore advanced machine learning methods, state-of-the-art AI technologies, and data engineering approaches for handling large-scale and complex data sets. You will also gain expertise in big data systems, data visualisation, and analytical techniques that transform raw data into actionable insights for decision-making. An important aspect of the curriculum is the critical examination of AI ethics and societal implications, ensuring that you understand the responsibilities associated with developing and deploying intelligent systems. Practical relevance is emphasized throughout the program through industry cooperation projects, research seminars, and hands-on case studies that reflect real-world challenges. These applied learning experiences allow you to integrate theory with practice and develop problem-solving skills in professional contexts. The program concludes with a practice-oriented Master’s thesis, enabling you to demonstrate your expertise by working on a relevant research or industry-based project that prepares you for advanced roles in data science and AI.