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Our Master's in Data Science program provides comprehensive training in statistical analysis, machine learning, data visualization techniques, data mining processes, and big data methodologies - core competencies for aspiring data professionals. Admission requires foundational knowledge in calculus, linear algebra, probability theory, programming concepts, data structures, and algorithmic principles. This 30-credit curriculum includes hands-on projects working with large datasets, classification techniques, feature selection approaches, and neural networks among other topics.
The program emphasizes Python and its data science ecosystem, while incorporating R for statistical modeling, Tableau for visual analytics, and SQL for database management. Through practical assignments blending theoretical concepts with real-world datasets, students receive guidance from faculty instructors and graduate teaching assistants.