Explore Exciting New Career Opportunities at The Madeira School

The Main Campus of The Madeira School, located on a scenic 376-acre site overlooking the Potomac River, specializes in a rigorous, girl-centered college-preparatory curriculum for grades 9-12. This innovative program emphasizes active, experiential learning through a modular schedule featuring three classes at a time for deeper focus and retention. It integrates STEAM disciplines with humanities, fosters critical thinking, creativity, problem-solving, and real-world application via co-curriculum internships in community service, Capitol Hill, and career passions. Small classes averaging 12 students and a 4:1 student-faculty ratio enable personalized, collaborative education. The curriculum requires credits in core areas, advanced placement courses, interdisciplinary studies, arts, and athletics/D-Blocks, preparing students for top colleges.

• English: Emphasizes literary analysis, writing, and rhetoric with courses like Introduction to Literary Studies, AP English Literature and Composition, Feminist Perspectives, American Modernism, and Poetry Writing Workshop.
• History: Develops research and critical skills through Comparative Global Studies, U.S. History topics such as Race in America and Revolutions, and capstone seminars on Global Justice and Holocaust Studies.
• Mathematics: Progresses from Algebra I to AP Calculus BC, AP Statistics, Linear Algebra, and Multivariable Calculus, including coding integration.
• Science: Core sequence of Biology, Chemistry, Physics; electives include AP Biology/Chemistry/Physics C, Environmental Science, Forensic Science, and Robotics.
• World Languages: French, Spanish, Latin through AP levels; specialized like Classical Mythology, Ancient Medicine, and Advanced Topics in Culture.
• Art: Visual and performing arts with Studio Drawing/Painting/Printmaking, Ceramics, Digital Art/Animation, Photography, Acting, and Theater Production.
• Interdisciplinary: STEAM Fundamentals, Computer Science I-III, Mindfulness and the Brain, Engineering for Robotics, Intro to Machine Learning.