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With data proliferating across diverse industries and academic fields, there's growing demand for skilled data scientists who can enable data-driven decisions.
Our Master's in Data Science program provides comprehensive training in core and advanced topics including statistical analysis, machine learning, data visualization techniques, data mining processes, and big data methodologies - all critical competencies for professional data scientists. Admission requires foundational knowledge in calculus, linear algebra, probability theory, programming concepts, data structures, and algorithms. This 30-credit curriculum features hands-on projects working with large datasets, classification techniques, feature selection approaches, and deep learning applications among others.
The program heavily utilizes Python and its data science ecosystem while incorporating R for statistical computing, 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 teaching assistants.