The NYU Center for Data Science offers a pioneering PhD program in Data Science, recognized globally. This program is designed to cultivate highly trained, cross-disciplinary, and ethically responsible data scientists. Graduates will be equipped to develop advanced methodologies and statistical tools for complex, cross-disciplinary research questions, communicate findings effectively, translate research into practical applications, and understand the ethical implications of their work.
GRE Scores are optional.
Financial support, including tuition and a competitive stipend, is guaranteed for up to five years for successful candidates.
Applicants need a strong foundation in mathematics, computer science, and statistics, including Calculus I, Linear Algebra, and Intro to Computer Science. An additional course such as Calculus II, Probability, Statistics, or an advanced STEM course with significant mathematical content is also required. GRE scores are optional.
Successful candidates are guaranteed financial support for up to five years, which includes full tuition coverage and a competitive stipend for living costs. There is no tuition for successful candidates.
The program guarantees financial support for up to five years for successful candidates, indicating the typical duration of study.
Applications are managed through the Graduate School of Arts & Sciences (GSAS). You need to prepare materials such as transcripts, TOEFL scores (if applicable), a statement of purpose, CV, letters of recommendation, and pay an application fee. Applications are submitted through the GSAS Online Application Portal.
The application deadline for Fall admission is December 4.
Graduates are prepared for roles requiring advanced data science expertise, including developing methodologies, applying statistical tools, communicating research insights, and considering ethical implications in various industries.