Introduction
The Center for Data Science (CDS) is New York University’s focal point for data science research and education. Established in 2013, CDS has become a world-leading institution, arming students with the tools to harness the power of Big Data. CDS maintains a powerful cluster of high-performance GPUs to facilitate work with large datasets and models.
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 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.
Visit the Events Feed for a full listing of upcoming events.
By the Numbers
- 22 jointly appointed interdisciplinary faculty
- 70+ associate and affiliate faculty from 25 departments in 9 schools and units