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Enrolled in the M.S. in Data Science and Analytics program, students develop a comprehensive understanding and strong grounding in core data science principles. This encompasses big data systems, cloud technologies, machine and deep learning frameworks, sophisticated visualization techniques, database architectures, algorithmic complexity, text analysis, NLP, and advanced statistical modeling. The curriculum utilizes programming languages such as R, Python, and SQL. Participants further cultivate essential competencies in decision analysis, data storytelling, visual communication, collaborative work, and sophisticated problem-solving approaches. Graduates enter diverse professional paths spanning business intelligence, healthcare analytics, policy analysis, financial modeling, marketing insights, cloud infrastructure, global health data systems, and other data-intensive sectors. The program additionally provides foundational preparation for doctoral studies in Data Science, Applied Mathematics, Statistical Analysis, Computer Science, or Economic Research.