Application deadline
1 February 2027
All required materials, including recommendations, must arrive by 11:59 p.m. EST.

by Carnegie Mellon Pre-College Programs
AI Scholars combines Carnegie Mellon faculty teaching, hands-on artificial intelligence projects, industry visits, and college preparation to help students explore a future in computing.
See Succeed's assessment of the programme, who it may suit, the estimated total cost, what applying involves and what is still to confirm.
or let us know if .
What Succeed checks
We review public program details such as eligibility, age range, cost, duration, location, format, accommodation, meals and application timing.
What Last verified means
Last verified is the latest date Succeed checked the public details shown on this page. Program dates, prices and availability can still change.
How official sources are used
Succeed uses official provider information where available, then rewrites it into a student-facing summary for comparison and planning.
Why some dates are reference dates
If the current cycle is not available, Succeed may show the latest verified cycle dates so you can understand typical timing.
Succeed is independent from this provider unless a partnership is clearly stated.
Current status
Applications open
Eligibility
U.S. citizens or permanent residents; juniors
Age range / Year group
Ages 16+
Location / Region
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Cost
Free
Duration
4 weeks
Format
In-person
AI Scholars introduces computing and artificial intelligence through Carnegie Mellon faculty teaching, research exposure, and collaborative projects.
Students connect classroom concepts with industry visits and a public project presentation, while workshops and mentoring support college preparation.
It suits students who want to test their interest in AI through teamwork and sustained academic engagement rather than lectures alone.
AI Scholars is Carnegie Mellon University's immersive introduction to computing and artificial intelligence. Students learn from faculty, staff, and researchers through core instruction, research exposure, and projects that apply ideas to real-world problems.
The experience combines residential campus life with industry engagement, group mentoring, and college preparation seminars. Students work toward a public group-project presentation and complete a college application essay with instructor and peer feedback.
Faculty instruction and research exposure connect introductory AI study with the work of an active university research community.
Collaborative projects culminate in a public presentation, giving students a concrete opportunity to explain what they have built.
The writing workshop produces a completed college application essay with feedback from instructors and peers.
Industry visits and group mentoring help students investigate academic and career pathways alongside technical study.
Preparatory Python teaching makes the academic experience accessible without requiring previous coding experience.
Students curious about AI who want collaborative technical work, faculty guidance, and an immersive campus experience, especially when computing opportunities at home or school are limited.
You need a commuter option, must balance another summer program, or primarily want college credit rather than exploration and project experience.
AI Scholars offers a substantial way to test whether computing and AI interest you beyond the classroom. The combination of faculty teaching, a collaborative project, and a final presentation gives students practical experiences to reflect on when choosing future study.
The commitment is demanding: daytime programming can be followed by homework and group study, and full residential participation is required. It is a non-credit program, and admission has no influence on a later undergraduate application to Carnegie Mellon.
A practical overview of cost, accommodation, meals, dates and provider details to review before deciding.
Cost and what is included
Free; includes Tuition and core AI instruction., Housing in CMU dorms., Meal plans., Select program-related field trips and special events., Group mentoring and weekly college preparation seminars., College application essay workshop., Virtual Python preparation with instructor support..
Accommodation
CMU dorms included
Meals
Meal plan included
Provider details
Review the Carnegie Mellon Pre-College Programs provider page and official sources before making a final decision.
Dates and logistics
4 weeks; Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.
What to check before committing
Confirm current dates, payment terms, travel arrangements, cancellation rules and what is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsEffort level
High, with full weekday programming and possible evening work.
Best started
Begin six to eight weeks before the February application deadline to organize essays, financial documents, and recommendations.
Main challenge
Coordinating two recommenders while writing thoughtful application essays.
Ask a teacher and a counselor or adult mentor for recommendations early.
Gather your unofficial transcript and the required financial documentation.
Draft the 300-500-word essay around specific learning goals, then revise it for clarity.
After admission, plan for the virtual Python preparation approximately one month before arrival.
Useful if
You want to explore AI through teamwork and experience college-style learning.
You learn foundational computing and AI, then apply those ideas through a collaborative project guided by CMU researchers. Industry engagement, mentoring, and college preparation connect the technical work with your next academic steps.
Complete the virtual Python preparation before arriving on campus.
Attend core AI classes, research introductions, guest lectures, and workshops.
Develop a group project with faculty, graduate students, or postdoctoral researchers.
Visit technology companies and discuss academic and career pathways.
Workshop a college application essay with your instructor and peers.
Present your group's work publicly at the final capstone symposium.
Application deadline
1 February 2027
All required materials, including recommendations, must arrive by 11:59 p.m. EST.
Programme dates
26 June-24 July 2027
Applications open
December 2026
Exact opening day is not announced.
Decision release
1 April 2027
Admitted students have seven days to return the enrollment reply form.
Residential move-in
26 June 2027
Domestic student check-in runs from 8 a.m. to 3 p.m.
Orientation day
27 June 2027
Campus orientation and opportunities to meet other Pre-College students.
Classes begin
28 June 2027
Classes end
23 July 2027
Four-week academic programming concludes before Saturday move-out.
Residential move-out
24 July 2027
Check-out runs from 8 a.m. to 2 p.m.; departure is required by 2 p.m.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 1 February 2027 | Local | Upcoming | Save deadline |
Programme dates | 26 June-24 July 2027 | Local | Upcoming | |
Applications open | December 2026 | Local | Upcoming | |
Decision release | 1 April 2027 | Local | Upcoming | |
Residential move-in | 26 June 2027 | Local | Upcoming | |
Orientation day | 27 June 2027 | Local | Upcoming | |
Classes begin | 28 June 2027 | Local | Upcoming | |
Classes end | 23 July 2027 | Local | Upcoming | |
Residential move-out | 24 July 2027 | Local | Upcoming |
Be at least 16 by 26 June 2027.
Be in 11th grade when submitting the application.
Be a U.S. citizen or permanent resident with a current green card.
Demonstrate a strong interest in exploring artificial intelligence.
Submit required financial documentation.
Live in CMU dorms for the entire program.
Participate fully in classes, lectures, and project work.
Do not participate in concurrent summer programs.
Obtain prior approval for any asynchronous online course.
Program fee
Free — Fully funded places include tuition, housing, and meal plans.
Funding or discounts
What's included
Tuition and core AI instruction., Housing in CMU dorms., Meal plans., Select program-related field trips and special events., Group mentoring and weekly college preparation seminars., College application essay workshop., Virtual Python preparation with instructor support.
Use the official CMU Pre-College application portal and select AI Scholars.
Upload your most recent unofficial high school transcript.
Request one teacher recommendation and one counselor, community advisor, or adult mentor recommendation through the online application.
Write the required 300-500-word essay and answer the additional application essays.
Upload essay responses in PDF or Word format and provide tax documents or a signed NACAC fee waiver.
Add standardized test scores if you choose, then submit the application with all required materials.
If admitted, return the enrollment reply form within seven days and complete the enrollment and health requirements.
Next step with Succeed
or let us know if .
Succeed replies first, usually within a working day
The program covers the following focus areas.
Python preparation
A supported virtual course prepares students through synchronous and asynchronous learning before arrival.
Foundational computing and AI
CMU faculty introduce the foundational computing and artificial intelligence concepts used throughout the program.
Research and group projects
Students explore ongoing research and apply core concepts to collaborative projects addressing real-world problems.
College application writing
Students develop a completed college application essay through an instructor-led workshop and peer feedback.
Academic and career development
Seminars, mentoring, and industry visits introduce college readiness and technology career pathways.
Curriculum may be adjusted based on participant interests and current developments.
A typical day during the program.
Classes, lectures, projects, workshops, and field trips typically finish between 5 and 6 p.m.
Office hours, homework, group study, and social activities may follow daytime programming.
Students have time for field trips, on-campus clubs, and exploring Pittsburgh.
The virtual course combines synchronous and asynchronous components with instructor support.
Carnegie Mellon faculty teach the core AI curriculum, while research exposure introduces work led by faculty and graduate students. Group projects are guided by faculty, graduate students, or postdoctoral researchers, and group mentoring provides academic and personal guidance.
Students must remain residential for the full program; overnight absences and private-vehicle travel require permission.
After completing this program, participants often pursue:
Build foundational understanding for further computing and AI study.
Complete a collaborative project and present it publicly.
Leave with a college application essay revised through feedback.
Explore academic and career pathways through mentoring and industry engagement.
Develop college readiness through admissions, financial aid, and wellbeing seminars.
The program is non-credit, and Pre-College admission has no influence on CMU undergraduate admissions.
AI Scholars takes place at Carnegie Mellon University in Pittsburgh, Pennsylvania, with participants living on campus. Students traveling alone can reserve free Pre-College airport shuttles for arrival and departure through their travel paperwork.
Compare these options if your interests extend into software development, engineering, or design.
Career-focused software development and gaming study
Best for
Students interested in software and game development
Academic engineering study in Cambridge
Best for
Students comparing AI with engineering
Branding and design study for high school students
Best for
Students interested in creative technology
Save this program in Succeed to compare it with similar programs, dates, costs and formats in one place.
Compare with other programs
Content reviewed by
Co-founder, Succeed | Founder, Immerse Education (2012–2026)
Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
Official program page checked
Application deadline cross-checked
Eligibility requirements reviewed
Funding and inclusions verified
Residential commitments reviewed
Academic outcomes distinguished
We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.
AI Scholars
by Carnegie Mellon Pre-College Programs
Get the full picture before you decide
Succeed's assessment, estimated total cost and what applying involves.
No account needed for the Guide or Compare.