Job Description
New York University (NYU) provides a fully funded Ph.D. in Data Science through the NYU Center for Data Science (CDS). This rigorous, interdisciplinary program equips students with advanced theoretical and practical expertise in machine learning, statistics, optimization, and computational methods, preparing them for careers in academia, industry, and government research.
Program Overview
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Degree: Ph.D. in Data Science
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Institution: New York University
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Department: Center for Data Science (CDS)
NYU’s Ph.D. in Data Science is designed to train the next generation of data scientists with a strong foundation in mathematics, computer science, and domain-specific applications. Students work closely with faculty experts in machine learning, artificial intelligence, statistics, and big data analytics to conduct innovative research. The program encourages collaboration with various NYU departments, including Computer Science, Mathematics, Economics, and Biology, as well as research institutions and industry partners.
Doctoral candidates take advanced coursework in probabilistic modeling, deep learning, optimization, and scientific computing while gaining hands-on experience with large-scale datasets and high-performance computing systems.
Funding Package
All admitted Ph.D. students receive full financial support, which includes:
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Tuition and Fees: Full coverage for the duration of the program.
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Stipend: A competitive annual stipend provided through research assistantships (RA) or teaching assistantships (TA).
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Health Insurance: Comprehensive coverage funded by NYU.
Additionally, students may apply for external fellowships such as the NSF Graduate Research Fellowship Program (GRFP) and Google PhD Fellowship. Travel grants and research funding opportunities are available for students presenting at academic conferences.
Admission Requirements
Academic Background: Applicants should have a strong background in mathematics, statistics, computer science, or related fields. A master’s degree is not required but may strengthen an application.
Application Materials:
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Online Application: Submitted through NYU’s Graduate School portal.
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Official Transcripts: From all post-secondary institutions attended.
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Letters of Recommendation: Three strong letters from academic or professional references.
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Statement of Purpose: A detailed essay (800–1000 words) describing research interests, academic background, and career goals.
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Resume or CV: Highlighting research experience, publications, projects, and technical skills.
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Writing Sample (Optional): A research paper or technical report demonstrating analytical skills.
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GRE Scores: Not required but recommended for applicants without a strong quantitative background.
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TOEFL/IELTS Scores: Required for non-native English speakers unless they hold a degree from an English-speaking institution.
Admission is highly competitive, with preference given to applicants demonstrating exceptional quantitative skills, research potential, and a strong alignment with faculty expertise.
