Engineering
New York University, United States
The Data Science and Mathematics major integrates the full Data Science curriculum with the Mathematics curriculum. Students develop strong foundations in statistical modeling, machine learning, and data-driven reasoning, alongside advanced coursework in probability, statistics, and related areas of mathematics. The curriculum emphasizes theoretical foundations and mathematical rigor, preparing students for technically demanding roles and for graduate study in data science, statistics, and related fields.
Faculty: College of Arts and Science | Duration: 128 credits | Location: New York, NY, United States
The joint major in Data Science and Mathematics requires eighteen 4-credit courses (72 credits) as outlined below. Sample required courses: Writing as Inquiry; Principles of Data Science I; Principles of Data Science II; Causal Inference; Responsible Data Science; Discrete Mathematics.
Applies to admission to the school/university, not specific to this major: New York University's Office of Undergraduate Admissions supports the application process for all undergraduate programs at NYU. For additional information about undergraduate admissions, including application requirements, see How to Apply.
Duration: 128 credits
Engineering
New York University, United States
Engineering
New York University, United States
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