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Template 03 · AI Application Dossier

Michael Nam

A two-page dossier for the repo's selective, scholarship-dependent application lanes.

Country
Finland + Hong Kong

High-upside markets still worth serious packet work.

Univ
Aalto / HKUST / CUHK

Add PSL or École Polytechnique only if the file quality is strong.

Cost
Scholarship-first

These routes are not the affordability backbone.

Certainty of applying
Medium

Keep active, but let funding and fit decide final submission depth.

Best for schools where the application needs more than a quick profile sheet: Aalto, HKUST, CUHK, PSL, or École Polytechnique style packets that reward cleaner argument and stronger evidence.

  • The student is not prestige-browsing; there is a real academic reason for the target.
  • The file contains evidence, not only aspiration: projects, distinctions, tests, or technical work.
  • The university sits in a selective lane that still makes sense against lower-cost anchors.

The strongest dossier version is not a generic I-love-AI statement. It makes three arguments cleanly: the student wants practical AI and computing, he values strong academic environments, and he is applying selectively only where the upside or scholarship case is strong enough to justify the lane.

The right university is not only the most famous one. It is the one where technical depth, affordability logic, and future trajectory still make sense together.
ThemeWhat to include
Academic depthShow strong math, programming, and readiness for English-medium study.
Build evidenceUse one or two serious projects, competitions, or internship outputs.
University fitExplain why this specific institution fits the student's version of AI better than a generic brand list.
Funding logicBe explicit when the school sits in the scholarship-first layer rather than the low-fee base.
Michael Nam

Use this dossier where the target school is selective enough to reward serious packet quality, but still needs to justify itself against the cheaper anchor options.