About the major

Artificial Intelligence Computing Major

The Artificial Intelligence Computing Major is a major operated to cultivate professionals in artificial intelligence and software in response to the growing demand for AI talent. Through a systematic curriculum ranging from basic programming to AI theory and applications, students can develop the ability to understand AI technologies and apply them to real-world problem solving.

Educational Objectives

To cultivate professionals who can analyze, design, and implement solutions to diverse problems based on systematic education in artificial intelligence and software

Desired Talent Profile
  • Talents equipped with artificial intelligence and software competencies
  • Talents equipped with creative thinking and problem-solving abilities
  • Talents who can responsibly apply AI technologies in industrial settings
Graduation Requirements(As of the 2026 Academic Year)
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Category Graduation Requirements
Graduation Credits1) 130 credits
72 major credits
Required Major Courses Computational Thinking and SW Coding, Mathematics for AI, Data Structure, Algorithms 1, Artificial Intelligence, Introduction to Machine Learning, Capstone Design Project 1
Field Training 3 credits or more
English Proficiency Fulfillment of the “Practical English” area under Kyungpook National University's Graduation Qualification System2)
Fulfillment of Kyungpook National University's Graduation Qualification System2)
  1. Completion standards for major and general education courses follow academic regulations, and graduation is possible when both the graduation requirements of the Artificial Intelligence Computing Major and the Graduation Qualification System are fulfilled.
  2. Graduation Qualification System: Refer to the KNU website → Education → Academic Administration → Undergraduate → Graduation Qualification (https://en.knu.ac.kr/edu/academic02_04.htm)
※ Since standards differ by academic year, students must check the graduation requirements for the applicable academic year.
Curriculum Model and Educational Direction
  • Operates a program to cultivate computer software professionals specialized in artificial intelligence
  • Strengthens practical and research competencies through Problem-based Engineering Training Experiment (linked with graduate studies) and Capstone Design Project (industry-academia cooperation)
    • Years 1-2: Basic AI computing education centered on AI mathematics, software fundamentals, and AI fundamentals
    • Years 3-4: Core AI computing education centered on software applications, AI core, and AI applications
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Year 1 Year 2 Year 3 Year 4 Graduate School Pathway
AI Mathematics Discrete Mathematics Mathematics for AI Linear Algebra Advanced Mathematics for AI Theory of Information Security Information Security
Probability and Statistics
AI SW Automata and Formal Language Software Design Compiler Database Management Systems Problem-based Engineering Training Experiment Augmented Reality Special Topics in Computer Engineering
Java Programming System Programming Open Source Programming Computer Networks Mobile App Programming 1 Advanced Software Engineering
Computational Thinking and SW Coding Programming for Beginners Data Structure Algorithms 1 Advanced Problem Solving Massively Parallel Computing Advanced System Programming
Data Structure Applications Operating Systems Data Communications Data Mining Theory and Applications Cloud Computing Algorithm Design and Analysis Advanced Distributed Systems
Creative Engineering Design Computer Architectures Capstone Design Project 1 Special Topics in Computing Theory and Systems
Advanced Database
AI Core AI and Computing Artificial Intelligence Introduction to Machine Learning Deep Learning Artificial Intelligence Systems Introduction to Information Theory Advanced Artificial Intelligence Deep Learning Theory and Applications
Introduction to Data Science Introduction to Reinforcement Learning Introduction to Neural Networks Introduction to Brain and Cognitive Engineering Machine Learning Neural Networks
AI Applications Understanding of Images Computer Vision Speech Recognition Intelligent Human-Computer Interface Advanced Image Processing Computer Vision Theory and Applications
Introduction to Natural Language Processing Information Retrieval Medical AI Natural Language Processing Advanced Natural Language Processing
Introduction to Bioinformatics Technical Writing in AI Advanced Bioinformatics AI Applications

※ Courses marked in red are required major courses, and the completion model is recommended and may be flexibly adjusted according to each student's area of interest and career path.

For detailed academic and graduation requirements: Refer to the school website (http://cse.knu.ac.kr )

General Inquiries for the School of Computer Science and Engineering: scse@knu.ac.kr