15 Data Science Summer Programs for High School Students
Data science is an exciting and rapidly growing field that offers a multitude of opportunities for those with a passion for technology, mathematics, and problem-solving. For high school students interested in exploring this dynamic discipline, summer programs provide an excellent opportunity to gain hands-on experience, learn from experts, and network with peers who share similar interests. In this blog post, we'll highlight 15 data science summer programs specifically designed for high school students, offering a diverse range of experiences to ignite curiosity and foster growth in this fascinating field.
15 Data Science Summer Programs for High School Students
1. Johns Hopkins Center for Talented Youth: Data Science and Statistics
Cost: $4,880
Location: Johns Hopkins University, Maryland
Application Deadline: Rolling admissions
Program Dates: Varies by session
Selectivity: Moderately selective
Eligibility: Grades 7-12 (Advanced students)
The Johns Hopkins Center for Talented Youth (CTY) offers an intensive program in data science and statistics designed for academically advanced high school students. Led by expert instructors and researchers, this rigorous program provides participants with a deep dive into statistical analysis, data visualization, and predictive modeling. Through a combination of lectures, hands-on projects, and group discussions, students explore fundamental concepts and methodologies in data science, gaining practical experience with programming languages such as Python and R.
Throughout the program, students work on challenging projects that require them to analyze real-world datasets, formulate hypotheses, and draw evidence-based conclusions. By engaging with cutting-edge research and industry practices, participants develop critical thinking skills, quantitative reasoning abilities, and a strong foundation in statistical analysis. With access to Johns Hopkins University's world-renowned faculty and resources, as well as a supportive community of like-minded peers, the Data Science and Statistics program at CTY provides students with an unparalleled opportunity to excel in the rapidly evolving field of data science.
2. University of Texas at Austin Data Science Summer Academy
Cost: $3,000
Location: University of Texas at Austin, Texas
Application Deadline: May 15
Program Dates: June 6 to June 24
Selectivity: Not selective
Eligibility: High school students (Rising juniors and seniors)
The University of Texas at Austin Data Science Summer Academy offers high school students a comprehensive introduction to the field of data science. Led by faculty from the Department of Statistics and Data Sciences, this immersive program provides participants with hands-on experience in data analysis, visualization, and interpretation. Through a series of interactive workshops, lectures, and collaborative projects, students gain proficiency in programming languages such as Python and R, as well as practical skills for working with large datasets.
Throughout the program, students engage in real-world projects and case studies from various industries, including healthcare, finance, and marketing. By applying data science principles to solve complex problems, participants develop critical thinking skills, analytical abilities, and a deep understanding of the role of data in decision-making. With access to the University of Texas at Austin's cutting-edge resources and a supportive learning environment, the Data Science Summer Academy empowers students to explore their interests, expand their skills, and prepare for future academic and professional opportunities.
3. The University of Chicago’s Data Science Institute Summer Lab
Cost: Free with $6,000 stipend
Location: University of Chicago
Application Deadline (2024): Late Fall
Program Dates (2024): June 12 to August 18
Selectivity: Selective
Eligibility: High school students & undergraduates
The University of Chicago's Data Science Institute Summer Lab offers high school and undergraduate students a unique opportunity to engage in interdisciplinary data science research. Led by experienced faculty mentors, this intensive 10-week program provides participants with hands-on experience in applied data science research, exploring topics ranging from computer science to social science and public policy.
Throughout the program, students work closely with their mentors to develop research skills, data science methodologies, and collaboration techniques. By working on real-world projects and analyzing diverse datasets, participants gain valuable insights into the complexities of data analysis and interpretation. The program culminates in a final presentation where students showcase their research findings and share their insights with the broader community. With access to the University of Chicago's extensive resources and a supportive research environment, the Data Science Institute Summer Lab offers students an unparalleled opportunity to gain practical experience and prepare for future academic and professional endeavors.
4. Inspirit AI Scholars Program
Cost: Fee - $1200 (all inclusive)
Location: Virtual
Application Deadline: Applications are processed on a rolling basis. Seats are limited.
Program Dates: Rolling; sessions available year-round
Selectivity: no prior experience necessary
Eligibility: High school students
The Inspirit AI Scholars Program is an intensive two-week project-based learning experience in computer science and artificial intelligence. Students will begin by learning the fundamentals of computer programming in Python before applying concepts of artificial intelligence to their topic of choice in small group projects. Previous project subjects have included COVID-19 genomics, criminal justice, autonomous driving, mental health, and algorithmic training. Additionally, many students who have participated in the AI+X Individual Research Mentorship have gone on to win prestigious awards at various science fair competitions!
The AI Scholars Program at InspiritAI is a unique offering that empowers high school students around the world to apply artificial intelligence and computer science to their work across disciplines. The program emphasizes project-based learning and encourages high schoolers to seize on their interests and conduct socially-impactful research in their field of choice. Previous students have covered topics ranging from software and electrical engineering to transportation and civil engineering.
5. UC Berkeley Pre-College Program: Data Analytics
Cost: Varies
Location: UC Berkeley
Application Deadline: Varies
Program Dates: Varies
Selectivity: Varies
Eligibility: Varies
UC Berkeley's Pre-College Program offers high school students a summer program in data analytics, introducing them to key concepts in data visualization, data-driven decision-making, and computer programming. The Foundations of Data Science course provides students with a solid foundation in inferential thinking, computational thinking, and real-world relevance.
Throughout the program, students engage in hands-on projects and real-world case studies, applying their knowledge to analyze and interpret real-world datasets. By gaining college credit and experiencing university life to the fullest, participants develop the skills and confidence they need to succeed in future academic and professional endeavors in the field of data analytics.
6. Carnegie Mellon Pre-College Programs: Data Science
Cost: $12,454 (Residential); $6,282 (Commuter)
Location: Carnegie Mellon University, Pennsylvania
Application Deadline: February 1
Program Dates: July 1 to August 11
Selectivity: Not selective
Eligibility: Rising juniors and seniors
Carnegie Mellon University offers a variety of summer programs, including the Data Science program aimed at talented high school students. Led by accomplished faculty, this 6-week program provides participants with college-level classes in reasoning with data and methods for statistics and data science.
Throughout the program, students engage in interactive lectures, hands-on projects, and educational seminars with CMU alumni, gaining a deeper understanding of data science principles and techniques. With a focus on networking opportunities and college life immersion, the program aims to provide students with a taste of college life while preparing them for future academic and professional endeavors in the field of data science.
7. Quinnipiac University’s Data Science Summer Camp
Cost: $3,360 (Residential); $2,400 (Commuter)
Location: Quinnipiac University, Connecticut
Application Deadline: May
Program Dates: July 10 to July 21
Selectivity: Not Selective
Eligibility: High School Students
Quinnipiac University's Data Science Summer Camp offers high school students a two-week program to explore the fundamentals of data science. Led by faculty experts, this program introduces students to the theory and methodology of data science, focusing on big data and its applications.
Throughout the program, participants engage in lectures, hands-on exercises, and group projects, gaining practical experience in analyzing datasets and applying data science techniques. By working on real-world projects and collaborating with peers, students develop critical thinking skills, problem-solving abilities, and a deep understanding of the data science field. With access to a supportive learning environment and state-of-the-art facilities, the Data Science Summer Camp at Quinnipiac University provides students with an invaluable opportunity to explore their interests and prepare for future academic and professional opportunities in the field of data science.
8. Stanford Pre-Collegiate Studies: Data Science
Cost: $3,050
Location: Stanford University
Application Deadline: March 15
Program Dates: June 19 to June 30 (Session 1); July 10 to July 21 (Session 2)
Selectivity: Not Selective
Eligibility: Grades 8-11, AP Statistics or computer science completion
Stanford Pre-Collegiate Studies offers high school students a unique opportunity to explore the fascinating field of data science through its immersive summer program. Led by experienced instructors and industry professionals, this intensive course provides participants with hands-on experience in data analysis, visualization, and machine learning. Through a combination of lectures, workshops, and collaborative projects, students learn to apply data science techniques to real-world problems, gaining practical skills and valuable insights into this rapidly growing field.
Throughout the program, participants work on a variety of projects that allow them to explore different aspects of data science, from data wrangling to predictive modeling. By working with real datasets and solving complex problems, students develop critical thinking skills, analytical abilities, and a deep understanding of the role of data in decision-making. With access to Stanford's state-of-the-art facilities and a supportive learning environment, the Pre-Collegiate Data Science Program provides students with an invaluable opportunity to explore their interests, expand their skills, and prepare for future academic and professional opportunities.
9. Girls Who Code Summer Immersion Program
Cost: Free
Location: Online
Application Deadline: TBD
Program Dates: July 3 to August 11
Selectivity: Not selective
Eligibility: Grades 9-11, Female
The Girls Who Code Summer Immersion Program offers high school girls an empowering introduction to computer science and coding skills, with a newly added track in data science. Led by experienced instructors and industry professionals, this self-paced program provides participants with independent coursework to earn beginner-level and intermediate-level certificates in data science.
Throughout the program, participants engage in live, hands-on, project-based learning, working on real-world projects with tangible impacts. By gaining exposure to industry jobs, meeting leaders in the field, and participating in a supportive all-female environment, students develop confidence, technical skills, and a sense of community. With a focus on project-based learning and industry-relevant skills, the Girls Who Code Summer Immersion Program empowers young women to pursue technical careers and excel in the field of data science.
10. MIT Beaver Works Summer Institute: Data Science and Cybersecurity
Cost: Free (scholarships available)
Location: Massachusetts Institute of Technology (MIT), Massachusetts
Application Deadline: March 1
Program Dates: July 5 to August 12
Selectivity: Moderately selective
Eligibility: High School Students (Sophomores, Juniors, Seniors)
MIT's Beaver Works Summer Institute offers an unparalleled opportunity for high school students to immerse themselves in the dynamic fields of data science and cybersecurity. Led by world-renowned faculty and industry experts, this intensive program provides hands-on experience through a series of workshops, lectures, and collaborative projects. Students delve into cutting-edge technologies, exploring topics such as machine learning, data analysis, cryptography, and network security.
Through a blend of theoretical instruction and practical application, participants gain invaluable insights into the real-world challenges and opportunities within these rapidly evolving fields. Whether unraveling patterns in complex datasets or devising strategies to defend against cyber threats, students develop critical thinking skills and technical expertise that will serve them well in future academic and professional endeavors. With access to MIT's state-of-the-art facilities and a supportive learning environment, the Beaver Works Summer Institute is an unparalleled opportunity for aspiring data scientists and cybersecurity specialists to expand their knowledge and skills.
11. Harvard Pre-College Program: Data Science
Cost: $5,300
Location: Harvard University, Massachusetts
Application Deadline (2024): February 22
Program Dates (2024): June 23 to July 5 (Session 1); July 7 to July 19 (Session 2); July 21st to August 2nd (Session 3)
Selectivity: Not selective
Eligibility: Rising juniors and seniors
The Harvard Pre-College Program offers high school students a unique opportunity to explore the intersection of data analysis and decision-making. Led by Harvard faculty, this intensive summer program provides participants with a comprehensive introduction to data science, with a focus on practical skills and real-world applications. Through a series of hands-on projects and guided tutorials, students learn to use Python for data manipulation, visualization, and analysis.
Over the course of the program, participants dive deeper into advanced topics such as data modeling and predictive analytics, gaining valuable insights into the role of data in driving business decisions and informing policy. Through interactive lectures, group discussions, and collaborative projects, students develop critical thinking skills, analytical abilities, and a deep understanding of the ethical implications of data-driven decision-making. With access to Harvard's world-class resources and a supportive learning environment, the Pre-College Data Science Program empowers students to unlock their potential and pursue their passion for data analysis and interpretation.
12. Wharton Global Youth’s Data Science Academy
Cost: $9,099
Location: University of Pennsylvania
Application Deadline: January 25 (Priority); April 5 (Final)
Program Dates: July 16 to August 5
Selectivity: Moderate
Eligibility: Grades 10-11, 3.3 GPA, math and coding background
Wharton's Data Science Academy offers high school students a unique opportunity to delve into the exciting world of data science under the guidance of renowned Wharton professors. Throughout the summer program, participants engage in hands-on learning experiences, designing and executing their own data science projects. From data visualization to machine learning methodologies, students explore a range of techniques and tools essential for analyzing and interpreting complex datasets.
The program's structured curriculum covers foundational concepts such as data wrangling, probability, and statistics, providing participants with a solid understanding of core principles. Through interactive lectures, practical exercises, and collaborative projects, students not only acquire technical skills but also develop critical thinking and problem-solving abilities. With a selective admission process and a focus on practical application, the Wharton Data Science Academy equips students with the knowledge and expertise needed to thrive in the rapidly evolving field of data science.
13. Syracuse University’s Data Visualization and Analysis Course
Cost: Residential: $2,020; Commuter: $1,543
Location: Syracuse University, New York
Application Deadline: May 1
Program Dates: July 16 to July 21
Selectivity: Not Selective
Eligibility: Rising sophomores, juniors, and seniors
Syracuse University's Data Visualization and Analysis Course provides high school students with a comprehensive introduction to the fundamentals of data visualization and analysis. Led by experienced instructors, this program focuses on teaching students how to transform raw data into meaningful insights using programming languages such as Excel, Tableau, and more.
Throughout the course, participants learn essential skills such as data cleaning, statistical analysis, and data presentation techniques. By working on hands-on projects and real-world case studies, students gain practical experience in capturing, cleaning, and exploring data, as well as presenting their findings to stakeholders in a professional manner. With a strong emphasis on practical application and real-world relevance, Syracuse University's Data Visualization and Analysis Course equips students with the skills they need to excel in the field of data science.
14. Georgia Tech Pre-College Summer Program: Data Science and Predictive Analytics
Cost: $5,498 (Residential); $3,198 (Commuter)
Location: Georgia Institute of Technology (Georgia Tech), Georgia
Application Deadline: April 15
Program Dates: June 20 to July 15
Selectivity: Selective
Eligibility: Rising juniors and seniors
The Georgia Tech Pre-College Summer Program offers high school students a unique opportunity to explore the exciting world of data science and predictive analytics. Led by faculty from the School of Computational Science and Engineering, this immersive program combines hands-on projects, interactive lectures, and collaborative activities to provide participants with a comprehensive understanding of data-driven decision-making. From analyzing large datasets to building predictive models, students gain practical experience using cutting-edge tools and techniques.
Throughout the program, students work on real-world projects that tackle contemporary challenges across various domains, including healthcare, finance, and marketing. By delving into topics such as data visualization, regression analysis, and machine learning, participants develop the critical thinking skills and technical expertise necessary to thrive in the data-driven economy of the 21st century. With access to Georgia Tech's world-class resources and a supportive community of peers and mentors, the Pre-College Summer Program empowers students to unlock their potential and pursue their passion for data science and predictive analytics.
15. University of Washington Data Science Summer Institute
Cost: $2,500
Location: University of Washington, Washington
Application Deadline: March 31
Program Dates: July 11 to July 29
Selectivity: Moderately selective
Eligibility: High school students (Sophomores, Juniors, Seniors)
The University of Washington Data Science Summer Institute offers high school students a transformative educational experience in the burgeoning field of data science. Led by experienced instructors and industry professionals, this immersive program provides participants with hands-on training in data analysis, visualization, and interpretation. Through a combination of interactive lectures, practical exercises, and team projects, students gain proficiency in programming languages such as Python and R, as well as essential tools and techniques for exploring and manipulating large datasets.
Throughout the program, students tackle real-world problems and case studies from diverse fields, including healthcare, finance, and social science. By applying data science principles to address complex challenges, participants develop critical thinking skills, problem-solving abilities, and a deep understanding of the ethical implications of data-driven decision-making. With access to the University of Washington's cutting-edge facilities and resources, as well as mentorship from faculty and industry experts, the Data Science Summer Institute equips students with the knowledge and skills they need to succeed in an increasingly data-centric world.
Conclusion
These 15 data science summer programs for high school students offer invaluable opportunities to explore the exciting world of data science, develop essential skills, and connect with like-minded peers and mentors. Whether you're interested in programming, statistics, or interdisciplinary applications, there's a program suited to your interests and aspirations. By participating in these programs, students can gain a competitive edge, make informed decisions about their academic and career paths, and contribute meaningfully to the ever-evolving field of data science. So why wait? Dive into the world of data science this summer and unlock your potential for innovation and discovery!
About Inspirit AI
AI Scholars Live Online is a 10 session (25-hour) program that exposes high school students to fundamental AI concepts and guides them to build a socially impactful project. Taught by our team of graduate students from Stanford, MIT, and more, students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
