Top Research Opportunities for High School Students at Carnegie Mellon University

Top Research Opportunities for High School Students at Carnegie Mellon University
The top research programs available for high school students, selected based on prestige, location, and affordability
Summer Academy for Math and Science (SAMS)
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Students will be challenged by this five-week course focusing on STEM concluding with a symposium. Participants will explore Math, Science, seminars, writing workshops, small group mentoring, collaborative learning, as well as have a chance to learn about financial aid, FAFSA, and college admissions.
Human-Computer Interaction Institute REU
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The Human-Computer Informatics Summer Research Program (HCII) is an opportunity for undergraduates to spend 10 weeks at HCII doing valuable research and practical work with some of the world's top researchers. This work will have a strong impact on the future of the field. Research projects may include smart classroom sensors, educational games, accessibility, online health support groups, smartphone encryption devices, and the future of work.
Computer Science Scholars (CSS)
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Students take a deep dive into the world of computer science through a combination of classroom instruction, hands-on research projects, faculty lectures, and industry engagement with leading tech companies around the country. As a CS Scholar you will engage in college-level courses in computer programming and mathematics, as well as weekly seminars that explore college admissions, financial aid, building independence, mental health, emotional wellness, and more. You will be given the opportunity to develop meaningful connections with peers and mentors while being fully immersed in the college experience. A core value of CS Pathways and the CS Scholars program is building an inclusive, anti-racist environment. You will be expected to uphold this value and to participate in discussions about equity within STEM education and society.
The Data Science Experience
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High school participants enroll in two college-level classes and take part in existing research projects that require analyzing data sets, coding data, and using other essential software to glean key insights from large troves of information.....a connected set of opportunities to learn about how data science can be harnessed to answer questions across all disciplines. Activities are optional and cover broad topics with something for everyone. Students will be able to participate regardless of experience or background. Data sets, code, analyses, and resources will be maintained and available to all during and after the program. Explore the side menus to learn more!
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