NUS AI Talent Scholarship: 2025 Profile & Prep Guide
Download printable cheat-sheet (CC-BY 4.0)30 Nov 2025, 00:00 Z
Reviewed by
Marcus Pang·Managing Director (Maths)
Planning a revision session? Use our study places near me map to find libraries, community study rooms, and late-night spots.
Q: What does NUS AI Talent Scholarship: 2025 Profile & Prep Guide cover?
A: Everything prospective computing undergraduates need to know about the NUS AI Talent Scholarship—coverage, industry attachments, and how to stand out in the talent interview rounds.
TL;DR
NUS AI Talent Scholarship details are not published on the SoC page (404 on 2025-11-30); the OAM page is inaccessible behind Incapsula. Request the current factsheet from NUS Admissions/SoC to confirm benefits, eligibility, and commitments before preparing materials.
Scholarship Snapshot
- Status: Not published publicly (SoC AI Talent page returned 404 on 2025-11-30; OAM page inaccessible). Check with NUS Admissions/SoC for current status and deadlines.
- Official Portal: Request the current AI Talent Scholarship link/factsheet from NUS.
- Who It Targets: Previously aimed at top incoming NUS Computing freshmen; confirm current target courses and citizenship rules.
- Eligibility: Not published; ask for the latest academic, portfolio, and leadership requirements.
- Tenable Institution: National University of Singapore — School of Computing undergraduate programmes
- Bond: Not published; verify if bond-free and clarify programme commitments with NUS.
Award Components
NUS has not posted current scholarship benefits. Ask for the official factsheet to confirm:
- Tuition/fee coverage and allowances
- Computer/learning grants (if any)
- Access to exchanges, NOC, or industry/research projects
- Mentorship and lab/partner opportunities
Eligibility Checklist
Request the current criteria from NUS. Past focus areas included strong math/computing results, robust portfolios, and leadership; verify citizenship rules and programme fit directly with NUS.
Application Roadmap
- Ask NUS Admissions/SoC for the current application process, window, and required documents.
- Prepare transcripts, portfolio (GitHub/research), and referees in advance.
- Clarify assessments and interview format with NUS once shortlisted.
Selection Tips
If invited to interview, prepare to:
- Quantify impact from AI/ML projects
- Discuss responsible AI (bias, governance, deployment)
- Show learning velocity (self-study, competitions, research)
- Reference internships or collaborations with industry/labs
