PROGRAMME PROFILE
At a glance
- Associated institution
- New York University
- Destination
- United States
- Format & duration
- Varies by activity · Varies by session
- Age / stage
- See eligibility
- Type
- Academic courses
- Information year
- Unconfirmed
Sources checked: 2026-11-11 · Facts and editorial guidance are labelled separately
Learning and approach
- GSTEM distinguishes its summer research programme from its spring introduction to data science for machine learning; the spring class has separate dates and fees.
Eligibility and international applicants
Check grade, prerequisites and school status for the specific session. The full entry requirements have not yet been verified.
Dates and costs
Schedule
Current dates await publication or further verification.
Costs
Current full costs require verification. Check tuition, accommodation, meals, insurance and travel inclusions.
PROVIDER INFORMATION
Details from the provider
Attendance and housing
- GSTEM distinguishes its summer research programme from its spring introduction to data science for machine learning; the spring class has separate dates and fees. Official source ↗
Academic programme
- Topics or methods mentioned in the programme description: Machine learning. Official source ↗
Explore the official pages
Fit and preparation
Work backwards from something you want to build. Check which tools you need and whether the schedule allows testing and revision.
Official sources and verification
- Official source 1 ↗wp.nyu.edu
- Official source 2 ↗www.nyu.edu
Check the relevant official edition for fees, eligibility and sessions. Images primarily use official programme or university material, with other sources credited separately. They illustrate programme or campus context, not a specific current-year class.
