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The data science master's program equips you for leadership roles in analytics, information systems, and knowledge architecture. This interdisciplinary program is co-administered by the Computer Science department in Engineering and the Mathematics department in Arts & Sciences. Earning this degree will enable you to: acquire expertise in programming, statistical methods, data mining, AI algorithms, analytical techniques, and visual representation gain the ability to tackle complex issues involving massive, varied datasets across multiple sectors You'll investigate cutting-edge domains like analytical computing and discovery science, which combine mathematical principles with computational methods to process and quantify information from applied fields (including technology, business studies, social sciences, medicine, and urban development).
This curriculum targets:
working professionals and executives seeking expanded technology leadership roles
career-changers aiming to utilize computational methods for strategic decision support
learners wanting to master the analytical frameworks and technologies employed by top-tier institutions across scientific, corporate, governmental, and nonprofit sectors