FISH Summer

Jun 15-18 & Aug 3-7

Kids turn ideas into real inventions using design thinking, 3D planning, and hands‑on making across wood, circuits, and recycled materials. This Foundry camp builds visual‑spatial skills and confidence as students prototype, refine, and finish a project that’s truly their own. They learn to think like designers, move ideas from sketch to object, and see how creativity shapes the world around them.

Jul 6-10

Navigate Hong Kong’s islands, raise sails, and explore coral beaches, mangroves, and rocky shores from The Black Dolphin. Kids practice marine science, sketch ecosystems, and tackle environmental challenges while learning that navigation, teamwork, and ocean stewardship are key to a sustainable future. They return with sea legs, curiosity, and a deeper bond with our archipelago.

Jun 29-Jul 3

Fuse Korean culture and global flavors into one week of Korean cooking fun. Kids craft kimbap, rice‑cake skewers, and more, photograph their dishes, and build a mini recipe book that celebrates trying new foods and cultures. They develop confidence, nutrition awareness, and the curiosity to keep exploring tastes beyond the K‑pop playlist.

Jun 29- Jul 3

What if curiosity about coral and cleaner shrimp becomes a habit of lifelong inquiry? In Blue Builders I, kids study ocean architects, build coral models, and sketch live reefs on a pier‑side field trip, then present their own “Mini Ocean Gallery.” They develop research skills, critical thinking, and empathy for marine life—traits that matter far beyond the tide line.

Jun 22-26

Coastal Scholars turns 8–12‑year‑olds into real‑life marine scientists, not just campers. They investigate biodiversity, collect data on shorelines and boat sails, and study Hong Kong’s coastal habitats hands‑on. This course builds research habits, critical thinking, and curiosity about the ocean—traits that shape responsible, thoughtful stewards of the sea for years to come.

Aug 3-7

Future-ready mathematicians combine sports and data by analyzing performance to make smart recommendations as they train a machine-learning model, building data literacy, design thinking, and ethical awareness.