HEALTHCARE DATA SCIENCE AND ANALYTICS (MASTER OF SCIENCE)
This program is designed to provide students with a comprehensive and quantitative skill set tailored to the healthcare and biology industry. Combining data science, clinic bioinformatics, artificial intelligence, machine learning, and computer coding prepares students to be at the forefront of healthcare innovation. We empower our students to harness the potential of data, AI, and coding to revolutionize patient care, streamline healthcare processes, understand interdisciplinary life science, and advance the field of healthcare by developing AI-driven solutions and applying coding expertise to healthcare challenges.
By collaborating with healthcare institutions, biology research centers, and professionals, we ensure the curriculum aligns with the evolving needs of the healthcare industry and advancements in data science. The program is regularly reviewed and updated to stay current with emerging healthcare technologies and data science methodologies.
PREREQUISITE/FOUNDATION COURSES (6 CREDITS)
These courses serve as foundational knowledge in Statistics and Management Information System. The courses may be waived, if the student has taken a relevant class in their previous degree studies with a Grade of C or above.
CORE COURSES (20 CREDITS)
All students must complete five core courses (20 credits)
CONCENTRATION REQUIRED COURSES
(8 CREDITS)
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Clinical Informatics in Healthcare (4 credits)​
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Bioinformatics from Theory to Practicum (4 credits)​
ELECTIVES COURSES
(4 CREDITS) *(select one from the following)
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AI-Driven Strategy and Implementation in Patient Care (4 credits)
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Personal Leadership Development in a Global World (4 credits)
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Seminar in Translational Research (4 credits)