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Carnegie Mellon

Carnegie Mellon AI Scholars

Equity-focusedSelectivein-personFreePre-College✓ How we vet

Free three-week residential AI program for underrepresented students.

§ Program information

Sourced from the official program page. Where a field says Not confirmed, we couldn't verify it — check the official site before applying.

Location
Pittsburgh, PA
Duration
3 weeks
Deadline
March
Grades
10, 11
Format
in-person
Cost
Free
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§ General application guidance from Atlas

How to think about programs like this.

This guidance is general and may not reflect this program's exact selection process. Always confirm details on the official program page before applying.

What this program actually is

Carnegie Mellon AI Scholars is a pre-college run by Carnegie Mellon. It's built for 10th–11th grade students who want to attend a pre-college program at Carnegie Mellon in AI / Machine Learning, Computer Science.

The program runs for 3 weeks, based out of Pittsburgh, PA. There's no cost to participate. That covers the program itself — check the official page separately for whether travel, housing, or meals are included.

Who it's for

Programs like this get the strongest applications from students who can point to a specific reason they want this one — not just "any research program" or "any internship."

  • Students in 10th–11th grade — check the official page for exact grade cutoffs before applying.
  • Priority or eligibility for students in: PA. Some programs still take out-of-state applicants; read the fine print.
  • This program explicitly prioritizes under-resourced students, first-generation applicants, or students from historically underrepresented backgrounds in the field.
  • Strongest fit for students already curious about: AI / Machine Learning, Computer Science. You don't need prior formal experience — curiosity beats credentials.

Typical day-to-day in programs like this

The following describes what participants generally do in pre-college programs of this shape — not a confirmed schedule for Carnegie Mellon AI Scholars. Always check the official program page for the actual activities.

  • Engage with a structured program in your field of interest.
  • Meet peers and mentors you wouldn't otherwise cross paths with.
  • Leave with something concrete — a project, credential, network, or a clearer sense of what to do next.

How to apply well

Selection is competitive but not unrealistic. A thoughtful application usually beats a decorated one.

  • Start with the deadline: March. Work backwards — most students underestimate how long recommendations and essay drafts take.
  • Read the official page twice before writing anything. Note the exact prompts and word counts.
  • Answer the actual question. Reviewers read hundreds of essays; specificity beats polish.
  • Submit at least 24 hours before the deadline. Portals crash. Files fail to upload. Give yourself the buffer.

Cost, funding & logistics

Cost and logistics kill more applications than eligibility does. Sort these out before you get emotionally invested.

  • Format: In person in Pittsburgh, PA.
  • Duration: 3 weeks.
  • There's no cost to participate. That covers the program itself — check the official page separately for whether travel, housing, or meals are included.
  • If travel or housing is required and cost is a concern, email the program directly and ask what aid is available. Programs rarely publish everything they can offer.

After the program

The most valuable thing you leave Carnegie Mellon AI Scholars with is usually not the credential — it's the two or three people you met and the one concrete thing you made. Keep in touch with your mentors and peers; they're the beginning of a professional network in AI / Machine Learning, Computer Science.

Add the program to your resume, but also write down (for yourself) what specifically you learned, what you'd do differently, and what question you now want to answer next. That reflection is what turns a summer into a direction.

Atlas guidance is written from public information about programs in this category. It is not a promise about Carnegie Mellon AI Scholars's actual selection process.

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