Bachelor in AI Medical Data Science Major

The AI Medical Data Science Major at CHA University's Department of Healthcare Convergence trains students to apply data science and artificial intelligence methods to problems in medicine and healthcare. The curriculum typically combines foundational training in statistics, programming, machine learning, and data management with domain-specific coursework in medical informatics, biostatistics, and health data privacy and ethics. Students learn to collect, clean, and analyze large clinical and biomedical datasets, and to build predictive models that can support diagnosis, treatment planning, and hospital operations. Because healthcare data carries particular regulatory and ethical considerations, the program also addresses topics such as patient confidentiality, data governance, and the responsible use of algorithms in clinical decision-making. Graduates are positioned for roles in hospital data teams, health-technology companies, medical device and pharmaceutical firms, and research institutions that need staff able to bridge data science skills with an understanding of medical contexts. The degree is delivered entirely in English at CHA University, located in Pocheon, Gyeonggi-do, South Korea, and runs over four years, with intakes in both the spring and fall semesters. Coursework generally blends lectures with hands-on programming labs and project work, so students build a portfolio of applied analytics projects using real or simulated health data. As healthcare systems increasingly rely on data-driven tools, this major gives students a combination of technical and domain knowledge suited to emerging careers at the intersection of computing, statistics, and medicine.