COURSE CURRICULUM

The BSc in Artificial Intelligence is structured to provide a comprehensive progression from foundational knowledge to advanced practical applications. In the first year, students focus on building essential technical skills through modules in database design and implementation, fundamental concepts of computer science, computer programming, and operating systems and networks. These modules establish a strong groundwork in programming, system architecture, and computational thinking, ensuring students are prepared for more complex AI concepts. In the second year, the curriculum advances to specialized areas such as computational intelligence, intelligent robotics, applied artificial intelligence, and agile team development, allowing students to combine theory with collaborative, hands-on problem-solving and project work. By the third year, students engage with cutting-edge topics including agent-based modeling, parallel computing, big data, machine learning, fuzzy logic, and interface systems, which integrate both theoretical and practical knowledge. The final year also includes a substantial development project, enabling students to apply their skills to a real-world or research-focused AI problem. Across all three years, the program balances rigorous academic learning with practical experience, ensuring that graduates are well-equipped to pursue careers in artificial intelligence, robotics, data science, and related technology sectors, with the technical expertise, problem-solving abilities, and project experience demanded by the industry.