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As big data continues expanding rapidly, organizations in diverse sectors are seeking data scientists to develop insights and strategies fueled by data. These professionals uncover valuable information from datasets by blending expertise in computing, mathematics, and statistical analysis to guide business decisions. Seton Hall's Mathematics and Computer Science Department is preparing future data scientists through specialized education to meet this growing demand.
The STEM-certified M.S. in Data Science is a 30-credit hybrid program that combines computer science, mathematical principles, statistical methods, and practical applications to transform raw data into actionable intelligence. Designed for graduates with backgrounds in science, math, computer science, engineering, statistics, or economics, the program offers flexible learning through both in-person and online coursework.
Through the data science curriculum, students master advanced methodologies including data mining, machine learning, visualization techniques, and cloud-based analytics. Our master's program delivers comprehensive training that equips graduates with the hands-on experience required for data science internships and careers.