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This Master's program targets graduates passionate about artificial intelligence, health data, and advanced computational methods in clinical and biomedical fields. It prepares aspiring health data scientists with essential expertise to analyze information and innovate tools for this expanding domain. Designed for students from varied academic backgrounds—including biomedical/medical fields, clinical training, computer science, mathematics, and statistics—it enables them to conduct independent research while fostering the next wave of pioneering health data scientists capable of developing novel solutions aligned with technological progress.
Participants will explore the wide-ranging applications of health data science, gaining skills to design, execute, and refine analyses using suitable methodologies and technologies to solve real-world medical challenges. The curriculum also covers clinical bioinformatics, health informatics, epidemiology, clinical systems, integrated multimodal data analysis, and omics analytics, equipping graduates for careers in academia, industry, and public healthcare institutions.