AI Convergence Technology
Department Overview
Department of AI Convergence Technology cultivate X+AI professionals equipped with practical, end-to-end competencies from problem definition and modeling to validation and real-world application by integrating AI into diverse engineering fields such as computer science, information security, electrical and electronic engineering, mechanical control, drones, media, and technology entrepreneurship.
Objectives of Education
- Develop practical problem-solving skills through hands-on Python-based training while learning both the theoretical foundations and real-world applications of AI in a balanced manner.
- Strengthen interdisciplinary competencies by integrating AI into various engineering-based fields (such as computer science, information security, electrical and electronic engineering, mechanical control, drones, media, and technology entrepreneurship), enabling students to carry out the full process from problem definition and modeling to validation and implementation.
- Cultivate X+AI specialists equipped with both machine learning/deep learning modeling expertise and the ability to effectively utilize generative AI technologies.
Career Opportunities upon Graduation
- Sustained National Policy Direction – The government is advancing the “Digital Talent 1 Million Training Initiative (2022–2026)” and, through follow-up forums in 2025, continues to maintain a policy focus on strengthening AI competencies across the entire academic pipeline from bachelor’s to master’s and doctoral levels.
- Supply-Demand Gap – According to the “2025 AI Industry Survey,” there remains a structural workforce shortage of approximately 4,300 AI professionals, including a deficit of 2,721 AI developers, indicating persistent talent shortages in the AI sector.
- Global Trend – The The Future of Jobs Report 2025 published by the World Economic Forum identifies AI, big data, and technological literacy as core competencies required by 2030, underscoring the need to cultivate highly skilled master’s- and doctoral-level AI professionals.
