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Engineering
New York University, United States
The Data Science major provides rigorous training in statistical modeling, machine learning, and data driven reasoning, grounded in computer science and mathematics. Students develop both theoretical understanding and practical skills in programming, data analysis, and modern statistical methods. The curriculum prepares students to design, analyze, and deploy data-driven systems, with attention to ethical considerations and the distinction between causal inference and prediction.
Faculty: College of Arts and Science | Duration: 128 credits | Location: New York, NY, United States
The major in Data Science requires fourteen 4-credit courses (56 credits) as outlined below. It also requires completion of a CAS minor (applicable only to students pursuing Data Science as a single major and not as part of a joint or double major). Sample required courses: Writing as Inquiry; Principles of Data Science I (offered every semester); Principles of Data Science II (offered every semester); Causal Inference (offered every semester); Responsible Data Science (offered every spring); Intro to Computer Science.
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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