Educating the next generation of data scientists

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.

We live in the “Age of the Petabyte,” soon to become “The Age of the Exabyte.” 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. But too few possess the skills needed to use automated analytical tools and cut through the noise to create knowledge from big data.

A new discipline has emerged to address the need for professionals and researchers to deal with the “data tidal wave.” Its object is to provide the underlying theory and methods of the data revolution. This emergent discipline is known by several names. We call it “data science,” and we have created the world’s first MS degree program devoted to it.

36 credits | 2 years

The curriculum is 36 credits, half of which are required courses and half of which are electives. The inaugural class launched in the Fall of 2013.

Both full-time and part-time students must complete all 36 credits (at least 24 credits in residency) within 5 years of enrolling at NYU as an MS in Data Science candidate.


NYU will offer tuition scholarships to selected students admitted to the program. All applicants for admission will be considered for these awards on a competitive basis. These scholarships will cover a portion of the tuition costs for up to two years. The scholarships do not cover university fees.