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AI & Machine Learning · 🏫 University of Pennsylvania

Wharton Global Youth Program - Data Science Academy

The program offers direct access to Wharton faculty and a curriculum that mirrors the rigor of an undergraduate business school, providing a unique pre-collegiate experience.

🔥 High School 🕒 3-week Pre-College Program In-person Intermediate 💰 $10,999 total

About this camp

The Wharton Global Youth Program - Data Science Academy is an intensive pre-college program designed for high-achieving high school students. The curriculum mirrors the rigor of upper-level Wharton undergraduate courses, made accessible to motivated high school learners. Students gain essential data science techniques such as data visualization and data wrangling, and are exposed to modern machine learning methodologies, which are foundational for today's AI field. The program emphasizes not only technical skills but also the responsible use of data, attention to bias and fairness, and the ability to communicate results clearly. Coursework is hands-on, primarily using R, with selective use of Python for deep learning and large language models (LLMs). Students also gain experience with AI coding assistants like Codex to accelerate their data science workflows. The program culminates in a capstone project where students identify a real-world challenge, build a data-driven solution, and present their findings to peers and mentors.

What a typical day looks like

A typical day includes short, focused lectures on core methods or applications, guided labs and case discussions using live notebooks, team project time with structured checkpoints, and TA-led recitations/office hours for deeper practice.

Best suited for

This program is best for high school students currently in grades 10-11 with a strong background in math and coding, and an interest in data analytics, who are open to a rigorous curriculum.

What you'll learn

Data Wrangling and Cleaning Data Visualization Statistical Modeling Machine Learning Algorithms Natural Language Processing Ethics in Data Science R Language Proficiency

Location

University of Pennsylvania, Philadelphia, PA

Sponsored · Research Ignited

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