On this page: Programs • CDS Academic Integrity Statement & Policy
The NYU Center for Data Science (CDS) offers a comprehensive range of academic programs designed to educate and empower the next generation of data scientists. Our curriculum spans multiple levels of study, catering to students at various stages of their academic and professional journeys.
Programs
Undergraduate
The Center for Data Science offers undergraduate students the opportunity to major or minor in Data Science, as well as pursue joint majors.
Our undergraduate offerings include:
- Major in Data Science
- Minor in Data Science
- Joint Majors
- Computer Science and Data Science
- Data Science and Mathematics
Master’s
Our Master of Science in Data Science — the first in the world — is a highly selective program for students with strong backgrounds in mathematics, computer science, and applied statistics. This 36-credit program can be completed in two years of full-time study and offers:
- MS curriculum that is focusing on the development of new methods for data science
- Industry Concentration and specialized tracks
- Opportunities for hands-on experience through the Capstone Project
- Summer Research Initiatives
PhD
Our pioneering PhD program in Data Science, launched in Fall 2017, aims to produce researchers who are fluent in the emerging field of data science. The program features:
- A core PhD curriculum that is innovative
- Interdisciplinary research opportunities
- A medical school track option
- The NSF-sponsored NRT FUTURE program
Non-Degree
For professionals looking to develop their data science skills without committing to a full degree program, we offer a Non-Degree program. This flexible option allows individuals to:
- Enroll in graduate-level courses
- Earn credit as a non-degree student
- Augment professional abilities or facilitate career changes
At NYU Center for Data Science, we are committed to providing a diverse, equitable, and inclusive environment that nurtures the next generation of data scientists. Our academic programs are designed to prepare students for outstanding careers in academia and industry, equipping them with the skills and knowledge needed to harness data’s potential for the world.
CDS Academic Integrity Statement and Policy
All students, faculty, instructional staff, administrators, and individuals involved in the Center for Data Science must follow the academic integrity policies listed below. Academic integrity is a shared responsibility; therefore, all must make a serious commitment to academic integrity. The consequences of violating academic integrity are serious for those involved and for the Center as a whole. Particularly,
- Faculty must define, communicate, and enforce academic integrity and collaboration policies for their courses.
- Instructional staff must be alert for signs of academic integrity violations and report possible violations to the instructor.
- Students are expected to adhere to all academic integrity policies. This includes communicating with other students in any way and/or use of any materials or technology not explicitly allowed by the instructor.
Academic Integrity for Students at NYU | GSAS Statement on Academic Integrity
If an instructor suspects academic dishonesty, the instructor should contact the Director of Graduate Studies and the Director of Academic and Student Affairs. The Director of Academic and Student Affairs will then contact the student and meet with him or her to discuss the incident.
If an academic integrity violation is determined, penalties are set by the Director of Graduate Studies. Penalties for violations of the academic integrity policy are serious and swift. These penalties include failing the relevant course, having their case referred to GSAS, and termination from the program. All and any of these penalties may be enacted for a first offense.