AI Convergence Division
@ Global Campus, Kimpo University
For experts to lead the AI era and the next generation
Mission Statement
โ€˜The AI Convergence Divisionโ€™ is not just a hub for cutting-edge technologies; itโ€™s a playground for those who aspire to shape the future through intelligent systems and entrepreneurship.
For associate bachelor degree
We Have 2 Tracks
๐Ÿ’ก AI Robotics
Designing a program that encompasses both artificial intelligence (AI) and robotics
๐Ÿ’ก AI Business Management
Integrating artificial intelligence (AI) technologies into traditional business management principles.
For associate bachelor degree
2 Years Course
Foundation in AI & Digital Literacy
Students build basic competencies in computer science, programming (e.g., Python), math for AI, and ethical understanding of digital technologies. This year helps them explore AI fields and develop computational thinking skills.
Core Technologies & Applied Learning
Students dive into data analysis, basic machine learning and deep learning, and hands-on projects through introductory PBL (Project-Based Learning). Career seminars and certificate preparation (e.g., ADsP) support professional growth.
For bachelor degree
More 2 Years Course
Industry-Oriented Advanced Studies
The advanced track begins. Students apply AI to real-world fields like smart manufacturing, logistics, and healthcare. They participate in 16-week internships and tackle industry challenges through mid-scale PBL projects.
Capstone Design & Global Readiness
Final year focuses on capstone design (team projects solving real problems), AI product development (like chatbots or recommender systems), and global career skills including English communication and portfolio presentation. Graduates prepare for employment or E-7-2 visa application.
The 'AI Convergence Division' offers a curriculum that uses artificial intelligence as a tool to solve complex challenges across multiple domains.
Learning Objectives

๐Ÿคธ AI Robotics track

Understand the fundamental principles, theories, and algorithms of artificial intelligence and robotics. Develop proficiency in programming, algorithm design, and system integration for AI and robotic applications. Explore advanced topics in AI and robotics, including machine learning, computer vision, motion planning, human-robot interaction, and autonomous systems. Apply AI and robotics techniques to solve real-world problems in diverse domains such as manufacturing, healthcare, transportation, agriculture, and space exploration.

๐Ÿค” AI Business Management track

Understand the fundamentals of AI technologies and their applications in business contexts. Analyze how AI can be strategically integrated into various business functions to drive innovation, efficiency, and competitive advantage. Develop skills in leveraging AI tools and techniques for data analysis, decision-making, and predictive modeling in business settings. Equip with skills to integrate IT solutions into business strategies and fostering innovation and entrepreneurship in the digital economy.

Curriculum
Core Areas of Study

๐Ÿงฉ AI Robotics track

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๐Ÿ› ๏ธ AI Business Management track

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๐Ÿงญ Career Pathways after Graduation
  • AI Engineers: Model development, AI product design
  • Industry AI Experts: AI in smart factories, healthcare, logistics
  • R&D Assistant Roles: Entry-level positions in research teams or tech companies
  • For International Students: Eligible to apply for E-7-2 visa in Korea after graduation
Staffs
Who makes your capability special?
Jeongheum Park
Dean / Professor
Ph.D in Electrical Engineering
Seunghwan Joo
Adjunct professor
MA in Information Engineering
Hyeri Choi
Adjunct Professor
Ph.D in Mechanical Engineering
Youngjun Kim
Adjunct professor
MA in Computer Engineering
Yuri Choi
Adjunct Professor
Daehan Lee
Visiting Professor
Korean Instructor
Hyunbok Shin
Visiting Professor
MA in Business Management
Kennedy Grace
Lecturer
Ph.D in Computer Engineering
T. T. Haile
Lecturer
Ph.D in Management Information Systems
Poudel Sanju
Lecturer
Ph.D in Business Management
Wang Min
Lecturer
Ph.D in Business Management
Kimpo University Campus