CDS-Courant Undergraduate Research Program
PROGRAM DATES: JANUARY 24 – MAY 18, 2022
LOCATION: RESEARCH PROJECTS WILL TAKE PLACE REMOTELY
FELLOWSHIP AWARD: $3,500
APPLICATION DEADLINE: OCTOBER 31, 2021
Welcome to NYU’s Center for Data Science
The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 21 jointly appointed interdisciplinary faculty housed on three floors of our magnificent 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the new field of Data Science.
We Are Hiring Clinical Faculty
Want to make an impact on the next generation of data scientists? If so, we encourage you to check out our open clinical faculty position. Clinical Faculty at CDS have the opportunity to teach data science courses at both the undergraduate and MS levels.
Latest CDS Monthly Research Feature
Pascal Wallisch tackles Twitter’s questions about visual illusions for Wired, Artie Shen weighs in on ChatGPT, and more on February’s CDS Monthly Research Feature.
Free Online Resource: Yann LeCun’s Deep Learning Course
Yann LeCun’s Deep Learning Course covers the latest techniques in both deep learning and representation learning, focusing on supervised/self-supervised learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition.
Free Online Resource: Mathematical Tools for Data Science
Mathematical Tools for Data Science, developed by CDS Associate Professor Carlos Fernandez-Granda, provides an introduction to tools from several areas of mathematics such as linear algebra, Fourier analysis, probability theory, and convex optimization, which are useful in data science.
- Data Science Lunch Seminar: Ofir Press
March 22, 2023, 12:30 pm
- Data Science Lunch Seminar: Tom Leavitt
March 29, 2023, 12:30 pm
- NLP AND TEXT-AS-DATA SPEAKER SERIES: SASHA RUSH
March 30, 2023, 4:00 pm
- AI, Misinformation, and Policy Seminar: Kiran Garimella
March 31, 2023, 11:15 am
- MATH AND DEMOCRACY SEMINAR: RANTHONY EDMONDS AND PARKER EDWARDS
April 3, 2023, 5:30 pm
- NLP AND TEXT-AS-DATA SPEAKER SERIES: ELLIE PAVLICK
April 6, 2023, 4:00 pm
- NLP AND TEXT-AS-DATA SPEAKER SERIES: MOHIT IYYER
April 13, 2023, 4:00 pm
- NLP AND TEXT-AS-DATA SPEAKER SERIES: ASLI CELIKYILMAZ
April 20, 2023, 4:00 pm
- MATH AND DEMOCRACY SEMINAR: SUNOO PARK, COLUMBIA UNIVERSITY
April 24, 2023, 5:30 pm
- NLP AND TEXT-AS-DATA SPEAKER SERIES: JACOB ANDREAS
April 27, 2023, 4:00 pm