Nguyen Gia Bao Nam (Michael Nam)
A mission-shaped application packet for Aalto University.
Research-builder selective submission
Strong overall technical reputation and a direct bachelor-entry route in Data Science taught in English.
Estimated total cost to plan around before scholarship.
Full tuition-waiver scenario across the 3+2 route; master's continuation remains conditional.
Prepared for a more selective review where fit, evidence, and packet quality all matter.
The strongest forward-looking case in my current file is not abstract AI enthusiasm. It is the combination of disciplined quantitative work, practical software-building growth, and the longer-term aim to use AI in systems that remain useful, understandable, and durable.
Write this as a serious technical-growth application: library culture, self-directed work, builder energy, and long-run technical depth.
I want my file for Aalto University to read as thoughtful and school-specific, not like a generic AI statement reused everywhere.
- Verified school-record continuity and promotion to grade 11
- External competition layer: HKICO Silver, HKIMO Bronze, AMC 10 participation
- Current industry update through the 1Matrix internship
- A school-specific reason tied to the programme itself
| Official route | National application portal via Studyinfo.fi / Aalto Admissions |
| Dossier role | A valid qualifying test and diploma path drive the decision more than long-form narrative material. |
| Reusable common data | Verified grade-10 school record (Ready in repo); Grade-11 transcript / report (Future document); Final upper-secondary transcript (Future document); Final high-school diploma / leaving certificate (Future document) |
| School-specific asks | SAT or ACT result |
| Current blockers | Still missing or future-dated: Grade-11 transcript / report (Future document); Final upper-secondary transcript (Future document); Final high-school diploma / leaving certificate (Future document); Certified translations / legalisation stack (Partial). |