At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 36 creditsProgram Length
- 2 yearsFull-time Study
- World-class facultyAcademic Excellence
- Cutting-edge researchResearch Opportunities
- Strong industry connectionsCareer Prospects
- Located in New York CityGlobal Hub
The Master of Science in Data Science program at NYU's Center for Data Science (CDS) is a highly selective program designed for individuals with a strong background in mathematics, computer science, and applied statistics. This intensive 36-credit program is structured for completion within two years of full-time study. It aims to equip students with advanced knowledge and skills to tackle complex data challenges across various fields. The curriculum emphasizes an interdisciplinary approach, fostering collaboration and innovation in the rapidly evolving domain of data science. Graduates are prepared for leadership roles in a field that is central to technological advancement and innovation.
Curriculum
The MS in Data Science program comprises 36 credits of coursework. Students can choose to specialize in different tracks, including an Industry Concentration, a Data Science Track with options in Big Data, Mathematics and Data, and Natural Language Processing, or a Biomedical Informatics Track. The curriculum is designed to provide a comprehensive understanding of data science principles and applications.
- Year 1
- Year 2
Careers
Graduates of the MS in Data Science program are well-prepared for a variety of roles in the rapidly growing field of data science, leveraging the strong industry connections and internship opportunities provided by the program. The location in New York City, a global center for technology and innovation, further enhances career prospects.
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Data Engineer
- Quantitative Analyst
- Business Intelligence Analyst
Frequently asked questions
- What are the academic prerequisites for the MS in Data Science program?
- A strong foundation in mathematics, computer science, and applied statistics is required. Specific prerequisites include Calculus I, Linear Algebra, and Intro to Computer Science, along with either Calculus II, Probability, Statistics, or an advanced math-heavy course in physics, engineering, or econometrics.
- What is the duration of the MS in Data Science program?
- The program is designed for completion within two years of full-time study and comprises 36 credits of coursework.
- How do I apply for the MS in Data Science program?
- To apply, visit the Graduate School of Arts & Science (GSAS) Admissions page, prepare your application materials including transcripts, optional GRE scores, and letters of recommendation, and submit your application through the GSAS Online Application Portal.
- What is the application deadline for Fall admission?
- The application deadline for Fall admission to the MS in Data Science program is February 14.
- What are the tuition fees for this program?
- Please refer to the Graduate School of Arts & Science (GSAS) Admissions page for current tuition details.
- Are there any scholarship opportunities available?
- Yes, competitive merit-based tuition scholarships are available for selected students. Details can be found on the MS in Data Science Financial Aid & Fellowships page.
Entry requirements
Bachelor's DegreeA strong foundation in mathematics, computer science, and applied statistics is required. Specific prerequisites include Calculus I, Linear Algebra, and Intro to Computer Science. Additionally, one of the following is needed: Calculus II, Probability, Statistics, or an advanced physics, engineering, or econometrics course with heavy mathematical content.
GRE scores are optional for applicants.
Fees
Tuition (international)Please refer to the Graduate School of Arts & Science (GSAS) Admissions page for current tuition details.
Tuition (home)Please refer to the Graduate School of Arts & Science (GSAS) Admissions page for current tuition details.
LivingEstimated living costs are not provided.
How to apply
1. Visit GSAS AdmissionsBegin by visiting the GSAS Application Resource Center for comprehensive information regarding the application procedure.
2. Prepare Application MaterialsGather all necessary documents, including academic transcripts, TOEFL scores (if applicable), optional GRE scores, applicant statements, a resume or curriculum vitae, letters of recommendation, and the non-refundable application fee.
3. Submit ApplicationComplete and submit your application through the GSAS Online Application Portal.
Scholarships
Tuition ScholarshipsCompetitive
Frequently asked questions
What are the academic prerequisites for the MS in Data Science program?
+
A strong foundation in mathematics, computer science, and applied statistics is required. Specific prerequisites include Calculus I, Linear Algebra, and Intro to Computer Science, along with either Calculus II, Probability, Statistics, or an advanced math-heavy course in physics, engineering, or econometrics.
What is the duration of the MS in Data Science program?
+
The program is designed for completion within two years of full-time study and comprises 36 credits of coursework.
How do I apply for the MS in Data Science program?
+
To apply, visit the Graduate School of Arts & Science (GSAS) Admissions page, prepare your application materials including transcripts, optional GRE scores, and letters of recommendation, and submit your application through the GSAS Online Application Portal.
What is the application deadline for Fall admission?
+
The application deadline for Fall admission to the MS in Data Science program is February 14.
What are the tuition fees for this program?
+
Please refer to the Graduate School of Arts & Science (GSAS) Admissions page for current tuition details.
Are there any scholarship opportunities available?
+
Yes, competitive merit-based tuition scholarships are available for selected students. Details can be found on the MS in Data Science Financial Aid & Fellowships page.