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About Undergraduate Graduate Convergence Program A Micro-Major Program News Resource

Undergraduate

College of Computing

Vision

Yonsei University's School of Integrated Technology, also known as the IT Convergence Engineering Department, was established in March 2011 as part of the College of Engineering to cultivate advanced IT professionals who can contribute to sustainable development in the era of the Fourth Industrial Revolution. Through horizontal convergence in various IT fields such as information technology, electronics, computers, and nanotechnology, as well as vertical convergence in humanities, social sciences, art, and design, the school has been producing global leaders who can bridge different fields. Since its establishment in 2023 as the School of AI Convergence, the school has been leading cutting-edge fields of study such as artificial intelligence, intelligent semiconductors, future cars, next-generation communication, and IoT convergence. To support students in pursuing self-directed interdisciplinary research, the school offers a three-year undergraduate program in IT convergence education that is closely linked to individual and interdisciplinary research, leading to a four-year integrated master's and doctoral program. With the guidance of 12 full-time faculty members, the school provides tailored education to each student and aims to foster future IT convergence leaders with creative thinking and practical skills to achieve practical and high-quality research outcomes. While administratively belonging to the AI Convergence College on the Sinchon Campus, the IT Convergence Engineering Department is located in Songdo to take advantage of Yonsei University's state-of-the-art premium education facilities and abundant educational and research spaces, serving as a forward base for the convergence education and internationalization of Yonsei University's School of AI Convergence.

Research field

As a research field of IT convergence engineering, it leads research in various applied areas such as artificial intelligence, intelligent semiconductors, future cars, next-generation communication, IoT convergence, next-generation displays, augmented reality and virtual reality, renewable energy, bio-health, aviation drones, and radar defense technology. To achieve this, undergraduate education covers a wide range of IT academic fields, and graduate education focuses on specialized fields to lead new innovations. As a result, undergraduate education in computing, intelligent systems, and component fields is becoming specialized research areas in graduate school. In the software field, the undergraduate curriculum includes advanced programming, advanced algorithms, computer systems and system programming, computer operating systems, and an introduction to data mining, while graduate courses cover machine learning, computer system principles, cloud computing principles, advanced computer networks, computational imaging systems, and mobile computing. The signal processing, circuit, and system academic fields in the intelligent system field include convergence mathematics, circuits, signals, information theory, discrete signal processing, feedback systems, multimedia signal processing, digital systems, and mechatronics projects for undergraduate students, and Fourier transforms and applications, biology-based cognitive signal processing, advanced multimedia processing, communication network principles, embedded IoT systems, linear systems and digital signal processing, automotive electric systems, automotive engineering seminars, and aerospace systems for graduate students. In the component field, undergraduate education covers modern physics and quantum mechanics, materials, electromagnetism and waves, nano-processing, nano-processing projects and sensors, semiconductors, display technology, and energy fusion, while graduate courses include an introduction to nanotechnology, advanced material seminars, flexible electronic technology, nano-composite materials, nano-analysis technology, and optical fusion technology. The research-centered, interdisciplinary education system linking undergraduate and graduate schools is optimized for future-oriented talent development to lead cutting-edge IT convergence fields.

Course

IT convergence talents are emerging as key players in the fourth industrial revolution, and are showing their prowess in areas such as artificial intelligence, intelligent semiconductors, future cars, next-generation communication, IoT convergence, next-generation displays, augmented and virtual reality, renewable energy, bio-health, unmanned aerial vehicles, and defense technology. Currently, graduates of IT convergence engineering are actively engaged in a wide range of fields both domestically and abroad, including as university professors, researchers at leading companies and research institutes (including domestic and foreign major corporations such as Samsung Electronics, SK Hynix, Hyundai Motor, LG Display, LG Chem, Qualcomm, Google, etc.), startup founders, and advanced technology administrative professionals.