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This research program provides a chance to specialize in a specific computer science field while enhancing skills for careers in research, development, or tech leadership. The adaptable Master's structure allows students to pursue investigations aligned with their interests or professional needs. Past student projects have covered hybrid information systems, machine vision for food defect detection, and bio-inspired neural networks for vehicle-pedestrian collision prevention. Research domains span robotics, autonomous systems, computer vision, medical imaging, social computing, gaming applications, and data science. By collaborating with the School's research teams, students can tap into specialized knowledge in vision engineering, autonomous technologies, social computing, human-computer interaction, and AI. With guidance from expert supervisors, participants may publish in scholarly journals and showcase their discoveries at academic conferences.