Master in 보건AI학과

보건AI학과, which translates to Health AI, sits at the intersection of public health and artificial intelligence, a growing field that applies data science and machine learning methods to health-related problems. Students in this area typically study health informatics, biostatistics, data mining, and the application of artificial intelligence techniques to disease prediction, medical imaging analysis, and health system management. Coursework often blends public health foundations, such as epidemiology and health policy, with technical training in programming, algorithm design, and data analysis. This master's program is offered at the National Cancer Center Graduate School of Cancer Science and Policy in Goyang, South Korea, taught in English over a two-year period, with intakes in March and September. Given the host institution's focus on cancer science and policy, students in this program may study how artificial intelligence tools are applied to cancer screening, treatment planning, and population health data. Graduates of health AI programs pursue careers as health data analysts, researchers in medical AI, and specialists supporting hospitals and public health agencies in adopting data-driven decision tools. Others move into technology companies developing clinical software, medical device firms, or government health data agencies. The discipline sits at a growing intersection of computer science, medicine, and public policy, so graduates often need both technical fluency and an understanding of health systems and ethics around medical data use. For students interested in combining quantitative skills with health applications, this program offers training grounded in a cancer research institution's applied focus while covering broader health informatics methods.