COURSE CURRICULUM

The BSc in Data Science and Artificial Intelligence is a comprehensive program designed to equip students with both foundational and advanced skills in computing, data science, and AI. In the first year, students gain a solid understanding of programming, software development, web technologies, and computer systems. The curriculum also introduces essential mathematical concepts, including algebra, probability, and statistics, that are crucial for computer science and AI. Additionally, students learn about information systems modeling, design, and the legal, social, and ethical issues associated with the development of these systems. Professional development is emphasized through modules like Mental Wealth: Professional Life 1, where students work on IT project pitching, developing key skills for future careers in tech.The second year deepens students’ knowledge in artificial intelligence, data structures, and algorithms. They learn about machine learning, data manipulation, and business intelligence analysis, while also honing their programming skills for data science. Modules like Artificial Intelligence and Business Intelligence Analysis provide hands-on learning experiences, preparing students to handle the complexities of data and AI applications in real-world scenarios. Mental Wealth: Professional Life 2 focuses on further developing professional skills needed to thrive in the tech industry.In the final year, students explore advanced topics such as big data infrastructure, cloud computing, and enterprise architecture. The curriculum includes an advanced deep learning module, where students work with large datasets for tasks like classification, regression, and natural language processing. The program culminates in a significant individual project, where students apply their technical knowledge and problem-solving skills. Overall, the course prepares graduates for high-level roles in AI and data science, ensuring they are industry-ready with the technical expertise and professional capabilities required in the rapidly evolving tech sector.