COURSE CURRICULUM

The study content of the Artificial Intelligence and Data Analytics program is structured around seven core pillars that combine technical expertise with interdisciplinary skills. The program begins with general education and scientific work, enabling students to develop broad qualifications, analytical thinking, and research abilities essential for a successful professional career. Fundamental IT skills provide a strong technical base, including technical support, web concepts, information systems, and the fundamentals of software development. Common IT basics shared across IT specialisations ensure core competencies in database systems, data structures and algorithms, data and cyber security, and cloud computing. Students can further expand their knowledge through compulsory elective modules, allowing individual academic focus and interdisciplinary learning. The specialization in Artificial Intelligence and Data Analytics forms the heart of the program and covers both fundamental and advanced topics such as programming for data analytics, data mining, data acquisition and visualization, machine learning, big data analytics, data warehousing, computational intelligence, and data ethics and law. Practical learning is emphasized through practice-oriented IT projects that allow students to apply theory to real-world challenges. The program concludes with a bachelor’s thesis and colloquium, where students demonstrate their academic competence and prepare for further education or professional advancement in data-driven and AI-focused fields.