MIT Jameel Clinic
AI & Health Summer High School Bootcamp
MIT Jameel Clinic’s 2027 AI & Health Bootcamp is a one-week, in-person introduction to machine learning, Python, clinical AI and drug discovery for incoming grades 10–12.
- Application deadline
- Early Action application deadline: November 1, 2026 (2027 cycle)
- Cost
- $2,000 (2027 cycle)
- Session dates or duration
- Catalog terms: 1 week; 2027: Unconfirmed — check official site
- Format
- In person
- Location
- Cambridge, MA
- Stipend or pay
- Unconfirmed — check official site
Eligibility: Grades 10–12 (provider uses rising grades)
Housing: Non-residential. Supervision and housing details: Unconfirmed — check official site
Read aid terms and conditions
Need-based financial aid (tuition only): Up to $2,000. Covers the cost of tuition only; international participants are not eligible. Requires proof of low-income program enrollment or a letter/essay demonstrating need. (2027 cycle)
Full details and official sources
Expenses and aid conditions: Need-based financial aid (tuition only): Up to $2,000. Covers the cost of tuition only; international participants are not eligible. Requires proof of low-income program enrollment or a letter/essay demonstrating need. (2027 cycle)
Full eligibility requirements: Requirement: Open to rising grades 10–12; Requirement: Students who have participated in the past are not eligible to participate again; Requirement: No visa sponsorship or travel arrangements
Selection and application: Application materials: MIT Jameel Clinic’s 2027 AI & Health Bootcamp is a one-week, in-person introduction to machine learning, Python, clinical AI and drug discovery for incoming grades 10–12. The programme is planned for mid-July, with exact dates still TBA. Early Action closes November 1, 2026 and regular applications February 22, 2027; recommendation letters are optional. Tuition is $2,000, and eligible domestic students may receive full-tuition need-based aid. Housing and transport are the family’s responsibility, and former participants may not repeat.
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