MS Data Science at New York University

Programme overview

The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science. Our networked world is generating a deluge of data that no human, or group of humans, can process fast enough. This data deluge has the potential to transform the way business, government, science, and healthcare are carried out.

Faculty: Graduate School of Arts and Science | Duration: 36 credits | Location: New York, NY, United States

What you will study

The program requires the completion of 36 credits, and offers a concentration in Industry. See below for concentration details and requirements. Sample required courses: Introduction to Data Science; Probability and Statistics for Data Science I; Machine Learning; Big Data; Capstone Project and Presentation.

Official programme page

Application information

Entry requirements

All applicants to the Graduate School of Arts and Science (GSAS) are required to submit the general application requirements, which include: Academic Transcripts Test Scores (if required) Applicant Statements Résumé or Curriculum Vitae Letters of Recommendation, and A non-refundable application fee. Admission to the Master of Science in Data Science requires substantial but specific mathematical competencies, typical of a major in mathematics, statistics, engineering, physics, theoretical economics, and computer science with sufficient mathematical training. In addition, applicants should have some training in programming and basic computer science.

Duration: 36 credits

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