Master in AI시스템공학과

Sungkyunkwan University (SKKU) offers a master's degree in AI Systems Engineering through its department in Jongno-gu, South Korea, focused on the infrastructure and engineering practices needed to build and deploy artificial intelligence at scale. Where a general AI or machine learning program might emphasize algorithm design, this degree tends to place more weight on the systems side of AI, including distributed computing, hardware acceleration, model deployment, and the software engineering practices needed to move AI models from research prototypes into production systems. Coursework typically covers machine learning fundamentals alongside systems topics such as parallel computing, cloud infrastructure, and the optimization techniques used to run large models efficiently. Students learn to build the pipelines and infrastructure that support AI applications, not just the models themselves. Graduates commonly find roles as machine learning engineers, AI infrastructure engineers, or systems architects at technology companies building AI-powered products, as well as in research labs working on large-scale model training. Some continue into doctoral research focused on systems for machine learning. Training combines coursework with substantial hands-on project work, often involving the design or optimization of an actual AI system, and students typically complete a thesis by the end of the program. The program runs two years, with intakes in March and September of every year, and instruction is conducted in English. Applicants generally hold undergraduate degrees in computer science, computer engineering, or a related technical field, and the program is designed for students who want to specialize in the engineering side of applied AI rather than pure algorithm research.