CDS Prof David Rosenberg Pushes the Boundaries of Machine Learning & Predictive Analytics

Learn More

Professor Claudio Silva Voted Chair in Prestigious IEEE Committee

Read More

Arthur Spirling To Join NYU As Faculty in CDS and Politics

Learn More

Louis Nirenberg, Mathematics Professor, Awarded Abel Prize

Learn More

Master of Science in Data Science

Did you know? 100% of the graduating class of 2015 were hired in their chosen field.

It's happening in nearly every facet of life, from commerce to utilities.

Data science creates meaning from vast amounts of complex data.

Using automated analytical methods, it reveals patterns humans alone might never see. Data science combines aspects of:






Data science offers new approaches to age-old decision-making and problem-solving processes.

A look at how data science is fundamentally shifting the way professionals do their work:

The Journalist

Databases and visualization software are becoming the newest tools of the trade for investigative journalists. Take for example the The Declassification Engine, a project to sift through a massive amount of declassified U.S. government documents using natural language processing and statistical/machine learning. A group of individuals, let alone an individual journalist, could never reasonably achieve such a feat.

Listen to a member of the project discuss The Declassification Engine


The Emergency Services Manager

Cities have long collected and analyzed information about emergency response times, but according to Michael Flowers, director of analytics for New York City’s Office of Policy and Strategic Planning, the information has typically been limited to location. With his office’s help, the city is trying to streamline the emergency response process and get to people in need sooner by looking at a wider range of data elements, such as the operator’s script.

Listen to Michael Flowers talk about the way data is improving NYC


The TV/Film Producer

A time-honored way to ensure that a TV program or movie becomes a hit is screening it with test audiences, tweaking the final product in reaction to audience feedback. That’s all changing thanks to online platforms like Netflix that gather information on viewer’s behavior (which episodes are rewatched, at which episode in a series most viewers quit the series, how many minutes into a movie people hit pause) like never before. Such data may change how TV and films are made and distributed. TV and movie makers will have new insight into what audiences like before scripts are shot; producers will be able to target their creations to the individuals that will embrace them most.

Read: "At Netflix, big data can affect even the littlest things"