NYU Center for Data Science

Introduction

• The Center for Data Science (CDS) is New York University’s focal point for university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading training and research facility serving researchers, industry professionals, and students at the forefront of Data Science. 

Mission

• Our mission is to advance data science research, provide cutting-edge educational programs, and foster interdisciplinary collaboration across NYU and beyond. We strive to create a global impact by developing innovative solutions to real-world challenges.

History
Highlights:

• 2013: CDS was established to support NYU’s goal of creating a world-leading data science training and research facility
• 2013: Launched the MS in Data Science program, the first of its kind
• 2016: Moved to the historic 60 5th Avenue “Forbes Building,” expanding our facilities and resources
• 2017: Introduced the PhD program in Data Science
• 2019: Launched the undergraduate program in Data Science
• 2024: Grew to 22 jointly appointed interdisciplinary faculty, 3 clinical faculty, and over 70 associate and affiliate faculty from 25 departments in 9 schools and units

Research
Our faculty and researchers are experts in various areas of data science, including:

• Machine Learning
• Optimization and Large-Scale Computation
• Natural Language Processing
• Computational Statistics
• Quantitative Methods
• Responsible Data Use
• System Design for Large-Scale Data
• Theoretical Statistics
• Mathematics of Data Science

They apply their expertise to a wide range of domains, such as neuroscience, psychology, physics, artificial intelligence, politics, medicine and healthcare, music technology, linguistics, business analytics, and biology.

Education
CDS offers a range of top-ranked educational programs:

• PhD in Data Science
• MS in Data Science
• Undergraduate Program in Data Science
• Online resources like Yann LeCun’s unique YouTube-based Deep Learning course

Our programs provide students with a critical understanding of both technical and ethical principles, preparing them for successful careers in data science.

Community

• CDS fosters a vibrant interdisciplinary community, actively involved in research and teaching across various academic departments at NYU. We host widely-attended seminars on topics such as “Math and Data,” “Text as Data,” and “AI, Misinformation, and Policy Seminar Series” promoting lively intellectual exchange. Our student groups maintain a full calendar of events, and we have a far-reaching alumni network led by an active Alumni Council.