COURSE CURRICULUM

The AI Engineering master’s program is structured over two years to build strong theoretical knowledge, technical expertise, and practical experience in artificial intelligence. In the first year, students develop a solid foundation through courses in artificial intelligence, mathematics for intelligent systems, knowledge representation, and data science. These subjects provide essential skills for understanding how AI systems are designed and applied. In the spring semester, the focus shifts to more advanced topics, including intelligent optimization, machine learning, research methods, and deep learning, enabling students to work with modern AI techniques and algorithms. In the second year, students further specialize with courses in reinforcement learning, current developments in AI research, and the ethical implications of artificial intelligence. They also complete an industrial placement, gaining real-world experience and exposure to industry practices. Students may also choose to study abroad, enhancing their international perspective. The program concludes with a final project in computer science, where students apply their knowledge to solve complex AI-related problems. This structured progression ensures a balance between theory, research, and hands-on learning, preparing graduates for careers in AI development, data science, and advanced technology roles across various industries.