New York University campus

Engineering

BA Data Science at New York University

New York University, United States

Programme overview

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

What you will study

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.

Official programme page

Application information

Entry requirements

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

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