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Our Master of Science program in Interdisciplinary Data Science with a Mathematics focus provides graduates access to diverse career paths in an expanding economic sector. This program equips students with sought-after expertise for government organizations and industries navigating the Big Data, Machine Learning, and AI revolution. The curriculum highlights the mathematical foundations of data science while developing competencies in data analysis, computational methods, and visualization techniques. Participants gain the mathematical framework to comprehend the inner workings of machine learning algorithms and data analysis processes. This mathematical approach fosters a thorough grasp of data science methodologies, enabling graduates to evaluate data, create visual representations, develop new techniques, and modify existing algorithms as needed. Beyond fundamental coursework, students explore specialized subjects including machine learning theory, network structures, computational linear algebra, optimization methods, and topological approaches to data analysis.