Data Science (MS)
New York University ยท NY ยท DATA-SCIENCE-MS
Data Science (MS) is a Postgraduate degree at New York University, NY. It covers areas like data science, data analytics, data mining, business analytics, cybersecurity, computational mathematics. The summary below is compiled from public course information โ approximate, not official.
New York University
Postgraduate
What you'll study in Data Science (MS)
Example subjects: Machine Learning and Advanced Analytics Applications, Biomedical and Health Data Science, Data Science for the Built Environment, Computational Data Science, 335 Principles of Data Science, Data Analytics for Cybersecurity, Data Mining and Analysis, 604 Data Analytics for Cybersecurity, Data Science Capstone, Database Systems, Advanced Topics Database Systems, Realtime and Big Data Analytics.
Frequently asked questions
What will I study in Data Science (MS)?
Data Science (MS) covers areas like data-science, data-analytics, data-mining, statistical-computing, statistical-learning, statistics, applied-statistics, computational-mathematics.
Who offers Data Science (MS)?
Data Science (MS) is offered by New York University, NY, and 2 other universities.
Considering Data Science (MS)?
Peernovo helps students research, choose and thrive at university โ across Australia, the US, the UK and Canada โ powered by our AI backbone:
- Explore & compare degrees โ across universities and countries with honest, specific information.
- "What Can I Be?" career guidance โ an AI pathway councillor that maps degrees to careers.
- See who's studying โ your degree at your university โ find classmates and study groups.
- AI Task Coach โ a Socratic study companion that plans your work around your life.
- Honours & Thesis Research Coach โ structure and move your research project forward.
- Smart study planner, exam prep and a daily digest โ to keep you on track.
Sources: New York University official course page. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
Something not right on this page, or want it changed? Let us know and we'll review it.
