NEW YORK UNIVERSITY · UNITED STATES
Environmental Studies
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
—
Tuition / yr
en
Language
Master's
Level
- 36 creditsProgram Size
- 2 yearsFull-time study duration
- World-class facultyAcademic Excellence
- Interdisciplinary approachEducational Philosophy
- Strong industry connectionsCareer Opportunities
- New York City locationGlobal Hub
The Department of Environmental Studies at NYU offers a Master of Science (MS) in Data Science program, designed for students with a strong foundation in mathematics, computer science, and applied statistics. This rigorous program aims to train students to become cross-disciplinary and ethically responsible data scientists capable of developing methodologies, using statistical tools for complex questions, and translating research insights into practical applications. Located in New York City, the program leverages world-class faculty, cutting-edge research opportunities, and strong industry connections to prepare students for careers in the rapidly evolving field of data science. Students will engage with an interdisciplinary approach to data science education, focusing on areas such as Big Data, Mathematics and Data, and Natural Language Processing, with a Biomedical Informatics track also available.
Frequently asked questions
- What are the entry requirements for the MS in Data Science program?
- A strong foundation in mathematics, computer science, and applied statistics is essential. Required prerequisites include Calculus I, Linear Algebra, and Intro to Computer Science, plus one course from Calculus II, Probability, Statistics, or an advanced math-heavy course in physics, engineering, or econometrics.
- How long does the MS in Data Science program take to complete?
- The MS in Data Science program is a 36-credit program that can typically be completed in two years of full-time study.
- What is the tuition and are there scholarships available?
- Please refer to the GSAS Admissions page for detailed tuition information. Competitive tuition scholarships are available for selected students based on merit.
- What are the application deadlines?
- The application deadline for Fall admission is February 14.
- What documents are required to apply?
- Required documents include academic transcripts, TOEFL scores (if required), optional GRE scores, applicant statements, a résumé or CV, letters of recommendation, and the application fee.
Entry requirements
Calculus IRequired prerequisite
Linear AlgebraRequired prerequisite
Intro to Computer ScienceRequired prerequisite
Calculus II, Probability, Statistics, or an advanced physics, engineering, or econometrics course with heavy mathematical contentOne required prerequisite
A strong foundation in mathematics, computer science, and applied statistics is essential for admission to the MS in Data Science program.
Fees
Tuition (international)Please refer to the GSAS Admissions page for detailed tuition information.
Tuition (home)Please refer to the GSAS Admissions page for detailed tuition information.
LivingEstimated living costs are not provided.
Competitive tuition scholarships are available for selected students.
How to apply
1. Visit GSAS AdmissionsGo to the GSAS Application Resource Center for detailed information on the application process.
2. Prepare Required MaterialsGather all necessary documents including Academic Transcripts, TOEFL scores (if required), GRE Scores (Optional), Applicant Statements, Résumé or Curriculum Vitae, Letters of Recommendation, and the non-refundable Application fee.
3. Start Your ApplicationSubmit your application through the GSAS Online Application Portal.
Scholarships
Tuition ScholarshipsCompetitive
Frequently asked questions
What are the entry requirements for the MS in Data Science program?
+
A strong foundation in mathematics, computer science, and applied statistics is essential. Required prerequisites include Calculus I, Linear Algebra, and Intro to Computer Science, plus one course from Calculus II, Probability, Statistics, or an advanced math-heavy course in physics, engineering, or econometrics.
How long does the MS in Data Science program take to complete?
+
The MS in Data Science program is a 36-credit program that can typically be completed in two years of full-time study.
What is the tuition and are there scholarships available?
+
Please refer to the GSAS Admissions page for detailed tuition information. Competitive tuition scholarships are available for selected students based on merit.
What are the application deadlines?
+
The application deadline for Fall admission is February 14.
What documents are required to apply?
+
Required documents include academic transcripts, TOEFL scores (if required), optional GRE scores, applicant statements, a résumé or CV, letters of recommendation, and the application fee.