Stanford CARE Explorers: AI x Precision Health High School Program

A two-week on-campus academy in data science, Python and machine learning. Students sharpen advanced Python through cryptography puzzles, train image classification models with Google's Teachable Machine, explore data visualization and algorithms with TensorFlow, Keras and Pandas, discuss ethics, privacy and responsible design, and finish with a collaborative data-driven final project.

Data Analytics for Business & Finance is one of the subject courses in King's College London's Pre-University Summer School, alongside courses such as Business Management, Accounting and Finance, Economics and Computer Science. Teaching mixes lectures and seminars with interactive work, and assignments are set to reflect university-level assessment, with tutor feedback on each student's work.

A residential leadership intensive from the Lee Iacocca Institute for Global Leadership at Lehigh University, built around team projects, experiential learning and three core values: intercultural effectiveness, leadership and systems thinking. Students choose a concentration in Business & Entrepreneurship, with courses such as design thinking, blockchain, global marketing and data-driven decision making, or Health & Innovation, covering population, community and global health, health data science and biostatistics. Each track centers on a team consulting project for a real client, alongside field trips, networking and mentoring by young professionals.

Echelon Scholars pairs high school students with published researchers for individualized, one-on-one mentored research aimed at publication in postgraduate-level, peer-reviewed journals and conferences such as IEEE and ACM venues. Projects are interdisciplinary with at least one technical element, in areas such as AI/ML, data science, molecular biology, statistics, applied math and medical research, and students choose their own topic after a literature review with their mentor.

The Genomics and Bioinformatics Online Seminar examines the intersection of biology, computer science and statistics, with special emphasis on biology. Students learn the theory behind bioinformatics tools for genomic analysis, train hands-on with tools such as BLAST, MUSCLE and MEGA and the NCBI and JGI databases, learn Python for high-throughput data analysis, and apply these skills to an ongoing research project on horizontal gene transfer between bacteria and bacteriophages.

An introduction to data science that covers computer algorithms and the range of models they generate, each with pros and cons. Students use datasets from the natural and social sciences to answer real-world questions relevant to their own lives, and they apply machine learning through R programming exercises built into the course. The course also asks how to use data tools effectively and ethically.

Explore architecture through collaborative studio projects, sketching, model making and digital design. Professional perspectives, design feedback, leadership workshops and field visits connect creative ideas with real architectural practice.

A traveling gap year in which Scholars live in a sequence of world capitals and their surrounding regions, learning from regional experts through masterclasses, workshops and excursions, taking faculty seminars in subjects from entrepreneurship to politics and creative writing, and choosing week-long Fellowships on themes such as government, finance, technology, conservation, history, art and craft. Weekly one-on-one advising, college counseling, a Life Design course and an independent Capstone Project run through the year.

A two-week Career Insights course in banking and finance that combines classroom sessions on banks, markets, investment, corporate finance, FinTech, ethics and valuation with career-skills sessions and visits to finance firms, set in two global financial centers.