NEW YORK UNIVERSITY · UNITED STATES
Master of Science in Data Science
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 36-credit programProgram Length
- 2 years full-timeDuration
- Industry connectionsCareer Focus
- NYC locationCity Hub
- Specialized tracksAreas of Study
The Master of Science (MS) in Data Science program at NYU's Center for Data Science (CDS) is a rigorous 36-credit program designed for students with a strong background in mathematics, computer science, and applied statistics. This program can be completed in two years of full-time study and offers specialized tracks, including an Industry Concentration and a Data Science Track with focuses on Big Data, Mathematics and Data, and Natural Language Processing. There is also a Biomedical Informatics Track. The interdisciplinary approach to data science education, combined with world-class faculty and cutting-edge research opportunities, prepares graduates for dynamic careers. Located in New York City, a global center for technology and innovation, CDS boasts strong industry connections and internship opportunities. This provides students with valuable real-world experience and networking possibilities. The program aims to equip students with the skills needed to tackle complex data challenges and contribute to the evolving field of data science.
Careers
The MS in Data Science program offers strong industry connections and internship opportunities, preparing graduates for exciting careers in the rapidly evolving field of data science. Graduates are equipped to work in various roles leveraging data analysis and computational skills.
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Software Developer (Data-focused)
- Business Intelligence Analyst
Frequently asked questions
- What are the academic prerequisites for the MS in Data Science program?
- Applicants need a strong foundation in mathematics, computer science, and applied statistics. Required courses include Calculus I, Linear Algebra, and Introduction to Computer Science. One additional course from Calculus II, Probability, or Statistics is also required.
- How long does the Master of Science in Data Science program take to complete?
- The program is a 36-credit curriculum that can be completed in two years of full-time study.
- What are the career prospects after completing the MS in Data Science?
- Graduates are prepared for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. The program offers internships and industry projects to enhance career readiness.
- What is the application deadline for Fall admission?
- The application deadline for Fall admission is February 14.
- Are there tuition scholarships available for international students?
- Yes, competitive tuition scholarships are available for selected students in the MS in Data Science program.
- What documents are needed to apply for the MS in Data Science program?
- Required documents include academic transcripts, TOEFL scores (if applicable), applicant statements, resume/CV, and letters of recommendation. GRE scores are optional.
Entry requirements
Calculus IRequired
Linear AlgebraRequired
Intro to Computer ScienceRequired
Calculus II, Probability, Statistics, or advanced math-heavy courseOne required
The MS in Data Science is a highly selective program. Applicants should have a strong foundation in mathematics, computer science, and applied statistics.
Fees
Tuition (international)Competitive tuition scholarships are available for selected students.
Tuition (home)Competitive tuition scholarships are available for selected students.
Living—
Please refer to the Graduate School of Arts & Sciences (GSAS) Admissions page for detailed fee information.
How to apply
1. Visit GSAS AdmissionsGo to the GSAS Application Resource Center for detailed information on the application process.
2. Prepare Application MaterialsGather all required documents, including academic transcripts, TOEFL scores (if applicable), GRE scores (optional), applicant statements, resume/CV, letters of recommendation, and the application fee.
3. Submit ApplicationStart and submit your application through the GSAS Online Application Portal.
Scholarships
Tuition ScholarshipsVaries
Frequently asked questions
What are the academic prerequisites for the MS in Data Science program?
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Applicants need a strong foundation in mathematics, computer science, and applied statistics. Required courses include Calculus I, Linear Algebra, and Introduction to Computer Science. One additional course from Calculus II, Probability, or Statistics is also required.
How long does the Master of Science in Data Science program take to complete?
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The program is a 36-credit curriculum that can be completed in two years of full-time study.
What are the career prospects after completing the MS in Data Science?
+
Graduates are prepared for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. The program offers internships and industry projects to enhance career readiness.
What is the application deadline for Fall admission?
+
The application deadline for Fall admission is February 14.
Are there tuition scholarships available for international students?
+
Yes, competitive tuition scholarships are available for selected students in the MS in Data Science program.
What documents are needed to apply for the MS in Data Science program?
+
Required documents include academic transcripts, TOEFL scores (if applicable), applicant statements, resume/CV, and letters of recommendation. GRE scores are optional.