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The Data Science program at Stony Brook University equips students with the skills to analyze complex data, build predictive models, and communicate findings effectively. It combines fundamentals from mathematics, computer science, and statistics, using cutting-edge tools and algorithms to solve real-world problems. Graduates will be prepared to drive informed decision-making through insightful data interpretation.
Stony Brook University offers both Master of Science (MS) and Doctor of Philosophy (PhD) degrees in Data Science. This interdisciplinary program is a collaboration between the Department of Applied Mathematics and Statistics (AMS) and the Department of Computer Science (CS), both housed within the College of Engineering and Applied Sciences (CEAS). The program provides rigorous training in data science, covering essential areas such as statistical analysis, big data management and analysis, and fundamental computing principles. Students will gain expertise in analyzing large datasets, developing statistical models, and understanding the underlying computational theories. The curriculum is designed to equip graduates with the skills needed to tackle complex data challenges in various industries and research fields.