Overview
The Data Science M.Sc. at New York University provides students with the advanced knowledge and interdisciplinary perspective required to excel in a data-driven global economy. This rigorous academic programme focuses on developing cutting-edge techniques to manage the high volume and velocity of modern information. Students benefit from a curriculum that balances theoretical foundations with hands-on projects and professional collaboration.
Why Data Science at New York University?
New York University offers a unique environment where students work alongside world-class faculty and industry partners at the Center for Data Science. The programme is highly flexible, allowing learners to tailor their education through specific tracks such as Big Data, Natural Language Processing, or Mathematics and Data. Additionally, the university provides competitive tuition scholarships to selected candidates, supporting the next generation of leaders in this evolving field.
Tuition Fee Breakdown
- International fee: USD 56646 per year
- National fee: USD 56646 per year
- Local fee: USD 56646 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires the completion of 36 credits and includes a mandatory capstone project. Students can choose to follow an Industry Concentration or a specialised track in Biomedical Informatics. Modules may include:
- Deep Learning
- Probability and Statistics for Data Science
- Mathematical Tools for Data Science
- Big Data
- Mathematics and Data
- Natural Language Processing
- Biomedical Informatics
- Data Science Capstone
Careers with Data Science
Graduates are prepared for high-demand roles across various sectors that require sophisticated data insights and innovation. The programme includes an Industry Concentration option which features targeted coursework, practical training experiences, and internships to enhance employability. By collaborating with industry partners, students gain the practical skills needed to drive impact in professional organisations globally.
Programme Structure
Courses include:
- Data Science
- Probability and Statistics for Data Science
- Machine Learning
- Big Data
- Capstone Project and Presentation
- Inference and Representation
- Deep Learning
- Natural Language Understanding and Computational Semantics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 470 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- GRE scores
- TOEFL or IELTS; however, TOEFL is preferred (Required for all applicants whose native language is not English and who have not received a university degree in an English-speaking country)
- Official college transcripts
- Three letters of recommendation (we prefer all letters on letterhead)
- Statement of Academic Purpose
Tuition Fees
-
International Applies to you
Applies to youNon-residents56646 USD / year≈ 56646 USD / year - Out-of-State56646 USD / year≈ 56646 USD / year
-
Domestic
Applies to youIn-State56646 USD / year≈ 56646 USD / year
Living costs
New York City
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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