The program offers hands-on experience with team-based data analysis projects and direct interaction with real-life data scientists, providing a comprehensive introduction to the field and its career pathways.
The Data Scientists in Training (DST) program at Rice University is a two-week summer bootcamp designed to introduce high school students (10th and 11th grade, aged 16 and older) to the fundamentals of data science. Funded by the National Science Foundation, the program aims to expose participants to data science methods and potential career pathways. Students engage in supervised sessions where they develop and code team-based data analysis projects using the R programming language. The curriculum covers core data science concepts, including statistics, basic linear algebra, regression modeling, clustering, and dimension reduction. Beyond technical skills, the program emphasizes career exploration through workshops and discussions with real-life data scientists from various industries and academia. Participants also learn to explore and visualize trends in complex data using dimension reduction and data visualization tools. The program culminates in data analysis presentations, providing students with practical experience and a deeper understanding of how data science can be applied to daily life and future careers.
A typical day involves morning announcements and icebreakers, followed by splitting into course groups for instruction and project work. After lunch, students return to labs for more instruction, with an afternoon break for outdoor activities or games, before continuing project work and wrapping up for the day.
This program is best for high school students in 10th and 11th grade, aged 16 and older, who are interested in exploring data science methods and potential career paths in the field.
Rice University
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