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9 Data Science Summer Programs for High School Students

If you have a passion for data science, you should consider joining one of the following summer programs. These programs, often hosted by prestigious institutions or universities, tend to immerse students in an intensive curriculum covering fundamental data science concepts such as statistical analysis, machine learning, and data visualization. 

Through hands-on projects and interactive coursework, you will gain practical skills in coding, data manipulation, and analysis using industry-standard tools. The programs are structured to simulate real-world scenarios, allowing you to apply data science principles to solve complex problems and draw meaningful insights from diverse datasets. Participating in data science programs can also significantly boost your college applications by showcasing your dedication to honing your analytical abilities and gaining hands-on experience in the field. 

It can be tough to know where to start and how to find the right fit for you. To make things easier, we have compiled a list of the 9 great data science summer programs for high school students! 

1.Veritas AI - AI Fellowship

Veritas AI focuses on providing high school students who are passionate about the field of AI a suitable environment to explore their interests. The programs include collaborative learning, project development, and 1-on-1 mentorship. These programs are designed and run by Harvard graduate students and alumni and you can expect a great, fulfilling educational experience. Students are expected to have a basic understanding of Python or are recommended to complete the AI scholars program before pursuing the fellowship. 

The AI Fellowship program will have students pursue their own independent AI research project. Students work on their own individual research projects over a period of 12-15 weeks and can opt to combine AI with any other field of interest. In the past, students have worked on research papers in the field of AI & medicine, AI & finance, AI & environmental science, AI & education, and more! You can find examples of previous projects here

Location: Virtual


  • $1,790 for the 10-week AI Scholars program

  • $4,900 for the 12-15 week AI Fellowship 

  • $4,700 for both

  • Need-based financial aid is available. You can apply here

Application deadline: On a rolling basis. Applications for fall cohort have closed September 3, 2023. 

Program dates: Various according to the cohort

Program selectivity: Moderately selective

Eligibility: Ambitious high school students located anywhere in the world. AI Fellowship applicants should either have completed the AI Scholars program or exhibit past experience with AI concepts or Python.

Application Requirements: Online application form, answers to a few questions pertaining to the students background & coding experience, math courses, and areas of interest.

Location: MIT

Cost: Free

Program dates: 6 weeks - Late June to Early August

Application Deadline: February 1

Eligibility: High school juniors; underrepresented, underserved, and first-generation students are especially encouraged to apply.

The MITES (Minority Introduction to Engineering and Science) Summer Program at the Massachusetts Institute of Technology (MIT) is a great opportunity for you if you’re interested in data science. Tailored for underrepresented minorities in STEM fields, MITES not only provides a diverse and inclusive learning environment but also offers a rigorous curriculum that includes a specialized focus on data science.

Through hands-on projects and interactive coursework, you will gain a deep understanding of statistical analysis, machine learning, and data visualization. The program's curriculum is designed to equip students with the technical skills necessary for data-driven decision-making, a critical component of modern industries ranging from technology to healthcare. You will also engage in projects that tackle pressing issues, giving you the chance to apply your newfound data science skills to analyze and derive insights from complex datasets. 

Beyond the curriculum, MITES also places a strong emphasis on mentorship and community building so you will have the opportunity to interact with experienced faculty and industry professionals. Participating in the MITES Summer Program will significantly boost your profile for college applications because it will show that you are making an effort to explore your data science interests outside of the classroom and that you can handle the rigor of college-level courses.

We have covered this opportunity in detail here!

Location: Harvard University

Cost: $5500

Program dates: 2 weeks in June and July

Application Deadline: January

Eligibility: High school students

The Harvard Precollege Introduction to Data Science with a Focus on Visualization offers a deep dive into data science concepts with a particular emphasis on data visualization techniques, making it ideal for those looking to master this critical aspect of the field. You get a chance to learn essential data science fundamentals, such as data collection, analysis, and interpretation, alongside in-depth training in data visualization tools and methodologies. 

In the first week, students learn to use Python to compile clean and convenient-to-use data sets from the web and explore this data through visualizations using the Python library Matplotlib. In the second week, students take an in-depth look at visualizations and their communicative potential. The final output typically involves a data-driven project where you will have the opportunity to create compelling visualizations to effectively convey insights from complex data sets.

If you are passionate about data science and want to learn how to present data in a meaningful and visually engaging way, consider applying to this program! 

Plus, we’ve covered all there is to know about Harvard’s summer school here

Location: Virtual 

Cost: $3050

Program dates: 11 days in June or July

Application Deadline: March

Eligibility: High School Students

The Stanford Pre-College Introduction to Data Science provides a comprehensive and hands-on introduction to the field, making it an excellent choice for those looking to delve into the world of data analysis and interpretation.

Through the program, you will learn fundamental data science principles, including data collection, data cleaning, statistical analysis, and the use of programming languages like Python to analyze and visualize data. The final output of the program often involves a data project where you apply your learnings and skills to tackle a real-world problem by working with complex data sets to derive meaningful insights. This program is a particularly good option for beginners looking to learn the fundamentals of data science and programming! 

Location: Carnegie Mellon University

Cost: Free

Program dates: June 22 - July 20

Application Deadline: March 1

Eligibility: Rising High School Seniors

The Carnegie Mellon University Pre College CS Scholars Program primarily focuses on computer science and provides a strong foundation in the computational and analytical skills that are crucial for success in data science. 

You will learn core computer science concepts, programming languages like Python, and gain experience in data structures and algorithms, which are essential for data analysis. The final output often involves a project where you can apply your programming and data manipulation skills to address real-world problems, thus providing a practical application of data science principles. This program is a good fit for high school students who have a passion for technology and data-driven decision-making. It offers a supportive and intellectually stimulating environment for those seeking to develop strong computational and analytical skills, which are valuable for aspiring data scientists. 

Here’s a review of the program!

Location: University of Pennsylvania

Cost: $9,099

Program dates: Mid July - early August

Application Deadline: January (Priority) and April (Regular) 

Eligibility: High School students

The Data Science Academy at Wharton provides a comprehensive introduction to the field of data science. Through the program, you will learn fundamental data science concepts, including data analysis, statistical modeling, machine learning, and data visualization. You will gain practical experience through hands-on projects, data analysis exercises, and exposure to industry-standard tools and techniques. 

The final output typically involves a data-driven project, where you apply your newly acquired skills to analyze and derive insights from real-world data sets. The program is a good fit for you if you are looking to build a strong foundation in data science while exploring its various applications.

Location: University of Chicago

Cost: $8350

Program dates: July 5 - July 21

Application Deadline: March

Eligibility: 9th, 10th, and 11th grade students

The UChicago Summer Session Pathways in Data Science focuses on the applications of data science. Through the program, you can expect to build a strong foundation in data science, including data analysis, statistical modeling, machine learning, and data visualization. You will also have the opportunity to work with real-world data sets and engage in hands-on projects to tackle data-driven problems. The final output often involves a substantial data project, where students apply their knowledge and skills to solve practical issues and present their findings. 

This program is a good fit for you if you are looking to expand your data science expertise, enhance your analytical and programming skills, and understand how data-driven insights can influence various academic and professional domains. 

Location: In-Person at MIT and Virtual

Cost: Free

Program dates: July - August

Application Deadline: March 31

Eligibility: Rising High school seniors who attends school in the US

The MIT Beaver Works Summer Institute (BWSI) is a great opportunity for you if you have an interest in data science. One of the key strengths of BWSI is how the program immerses you in real-world projects that span the breadth of data science applications, from machine learning and artificial intelligence to data visualization. 

BWSI also gives you access to MIT’s cutting-edge technologies and methodologies. You will have the opportunity to work with state-of-the-art tools and platforms, gaining practical insights into the tools that power contemporary data science. This exposure ensures that you not only understand theoretical concepts but also develop the technical proficiency necessary to succeed in the future.

Through BWSI, you will collaborate with peers from diverse backgrounds, engaging in interdisciplinary projects that highlight the intersection of data science with other fields such as engineering and computer science. Participating in BWSI significantly enhances a student's college application. Admissions officers value programs like BWSI that provide a unique blend of academic rigor, hands-on experience, and exposure to cutting-edge technologies. 

We’ve covered 8 compelling reasons behind why you should apply here!

Location: New York University 

Cost: $3500

Program dates: July 5 - August 4

Application Deadline: March 24

Eligibility: 7-12 grade New York residents who are underrepresented or underserved in STEM

The NYU Science and Technology Entry Program (STEP) is a fantastic opportunity for high school students interested in data science, particularly those from underrepresented backgrounds. This program provides a supportive and inclusive learning environment for students to explore STEM fields, including data science. 

You will learn fundamental data science concepts such as data analysis, statistical techniques, and data visualization. The program's curriculum also emphasizes the use of technology and languages like Python for data manipulation and analysis. The final output often includes a data analysis project or research presentation, where you can apply your knowledge to a specific data-related challenge. 

NYU STEP is an excellent fit for high school students who are motivated to pursue STEM fields and are eager to explore data science. It is particularly beneficial for students from underrepresented groups in STEM, as it offers the support and resources to excel in data science and prepare for future academic and professional opportunities.

One other option - Lumiere Research Scholar Program

If you would like to dive further into data science research, another way to stand out on applications and resumes, you should also consider applying to the Lumiere Research Scholar Program, a selective online high school program for students founded with researchers at Harvard and Oxford. Last year, we had over 4000 students apply for 500 spots in the program! You can find the application form here.

Jessica attends Harvard University where she studies Neuroscience and Computer Science as a Coca-Cola, Elks, and Albert Shankar Scholar. She is passionate about educational equity and hopes to one day combine this with her academic interests via social entrepreneurship. Outside of academics, she enjoys taking walks, listening to music, and running her jewelry business! 

Image Source: MIT MITES logo


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