COURSE CURRICULUM

The second program appears to be more focused on core computer science and software development, offering a deep dive into object-oriented programming, web and mobile application development, agile methodologies, and full-stack systems. In contrast, the first program leans more toward computer engineering, combining both software and hardware concepts, with significant attention given to electrical, electronic, and embedded systems, as well as sensor networks and IoT. Both programs cover fundamental software engineering practices and data science topics, but the second program emphasizes these areas more extensively with options like advanced programming, data structures and algorithms, and enterprise web software development. It also provides broader elective choices in areas such as AI, machine learning, cybersecurity, content management, and advanced networks. While the first program includes modules on leadership and digital business, the second program integrates project management within an IT context and offers students opportunities to gain teaching experience through computing education placements. Mathematics is more deeply embedded in the first program with a 30-credit module, compared to 15 credits in the second. The capstone project is also more substantial in the second program, with 60 credits allocated to the final year project, offering students a more in-depth research and development experience. Both include modules on human-computer interaction and user interface design, supporting skills in designing user-friendly systems. In summary, the first program is better suited for students interested in a blend of software and hardware, embedded systems, and electronics, ideal for roles in computer engineering and IoT development. The second program is more appropriate for those aiming to specialize in software development, web technologies, AI, and system architecture, providing a flexible path toward careers in full-stack development, software engineering, or data science. The choice ultimately depends on whether a student prefers working closer to hardware or within software-intensive domains.