14 Data Science Summer Programs for High School Students in New York City (NYC)
If you are a high school student thinking about studying data science later, a summer program can help you understand what the field actually involves. These programs provide structured experiences that teach you the basic tools and concepts used in data analysis and problem-solving. You also work with instructors or mentors who guide you through projects and help you apply these concepts in a practical context.
Why should you attend a program in New York City?
In New York City, many universities and organizations offer summer programs in data science and related areas. NYC is closely connected to industries like technology, finance, healthcare, and research, and these programs often show how data is used in professional and research settings. Students living in the city may find these programs convenient, while students from outside NYC may be interested in learning in a major academic and professional hub.
To make your search easier, we’ve put together a list of 14 data science summer programs for high school students in New York City.
If you are looking for free summer programs in NYC, check out our blog here.
1. Baruch College Now STEM Research Academy
Location: Baruch College, Manhattan, NYC
Stipend: $1,575 upon completion of summer research experience
Acceptance rate/cohort size: 25 students
Dates: July – August
Application Deadline: December
Eligibility: 10th and 11th-grade NYC public high school students
The Baruch College Now STEM Research Academy is a free program that teaches you how research works, from asking questions to testing ideas. You begin with a spring course that introduces you to reading scientific papers, doing literature searches, and understanding how research questions are formed, then continue into a summer research experience. You work in a lab setting with guidance from CUNY faculty, learn how experiments are designed, and get a feel for academic research beyond the classroom. The program also offers a stipend and the chance to earn college credit.
2. Veritas AI
Location: Virtual
Cost: Varies depending on program type. Full financial aid available.
Application deadline: Rolling basis. Spring (January), Summer (May), Fall (September), and Winter (November). You can apply to the program here.
Program dates: Multiple 12-15-week cohorts throughout the year, including spring, summer, fall, and winter.
Eligibility: High school students. AI Fellowship applicants should either have completed the AI Scholars program or exhibit experience with AI concepts or Python.
Veritas AI, founded and run by Harvard graduate students, offers programs for high school students who are passionate about artificial intelligence. If you are looking to get started with AI, ML, and data science, then you would benefit from the AI Scholars program. Through this 10-session boot camp, you will be introduced to the fundamentals of AI & data science and get a chance to work on real-world projects. Another option for more advanced students is the AI Fellowship with Publication & Showcase. Through this program, you will get a chance to work 1:1 with mentors from top universities on a unique, individual project. A bonus of this program is that you will have access to the in-house publication team to help them secure publications in high school research journals. You can also check out some examples of past projects here and read about a student’s experience in the program here.
3. Applied Research Innovations in Science and Engineering at NYU
Location: NYU Tandon School of Engineering, New York, NYC
Cost: Free; $1000 paid upon completion
Dates: June 1 – August 14
Application Deadline: February 21
Eligibility: Rising NYC high school juniors and seniors
Applied Research Innovations in Science and Engineering (ARISE) is a free, in-person program where you spend ten weeks learning how real research works. The first part of the program focuses on building your foundation through college-level writing workshops, research training, and lab safety instruction. After that, you move into NYU research labs, where you work alongside faculty and researchers on active projects rather than classroom exercises. The experience ends with you presenting your work at the American Museum of Natural History Poster Symposium.
4. Lumiere Research Scholar Program
Location: Remote , you can participate in this program from anywhere in the world!
Cost: Varies depending on program type. Full financial aid available.
Application Deadline: Varies by cohort.
Program Dates: Varies by cohort: summer, fall, winter, or spring. Options range from 12 weeks to 1 year.
Eligibility: You must be currently enrolled in high school and demonstrate a high level of academic achievement.
The Lumiere Research Scholar Program is a rigorous research program tailored for high school students. The program offers extensive 1-on-1 research opportunities for high school students across a broad range of subject areas that you can explore as a high schooler. The program pairs high school students with Ph.D. mentors to work 1-on-1 on an independent research project. At the end of the 12-week program, you’ll have developed an independent research paper! You can choose research topics from subjects such as data science, psychology, physics, economics, computer science, engineering, chemistry, international relations, and more. You can find more details about the application here, and check out students’ reviews of the program here and here.
5. American Museum of Natural History’s Science Research Mentoring Program
Location: American Museum of Natural History, New York, NYC
Cost: Free; $2,500 paid on completion
Acceptance rate/cohort size: Selective
Dates: August – June Summer Institute + Year-long academic research
Application Deadline: March 1
Eligibility: Grade 10th or 11th New York City high school students
The Science Research Mentoring Program (SRMP) is a paid, year-long research program where you work closely with museum scientists on real scientific projects. You build practical skills by reading research papers, working with DNA in a lab, analyzing data from space telescopes, and learning to code in languages like Python and R. Along the way, you attend museum events, work alongside other students interested in science, and learn how research teams think about data and ethics, including responsible uses of AI. The program also offers one CUNY Lehman College credit.
6. High School Initiative in Remote Sensing (HIRES)
Location: Grove School of Engineering, City College of New York, NYC
Stipend: $1,000 + 3 college credits
Acceptance rate/cohort size: 25 students
Dates: June – August
Application Deadline: Typically in March
Eligibility: NYC high school students, GPA- 80 or higher, must have completed Calculus or Algebra II/Trigonometry
The High School Initiative in Remote Sensing (HIRES) is a paid research program where you work with real data to study real problems. You spend the program analyzing datasets connected to topics like climate change, remote sensing, and coastal oceans, learning how data science is used to understand the world around us. The experience includes field trips, teamwork, and chances to build communication and leadership skills as you work through your project. At the end, you present your research at the CUNY STEM Research Symposium, giving you practice explaining technical work to a broader audience.
7. Kode with Klossy - Summer Camps
Location: Multiple, including New York City
Cost: Free
Dates: Multiple two-week sessions
Application Deadline: March (tentative, based on previous years)
Eligibility: Women and gender expansive teens ( ages 13-18)
Kode with Klossy Summer Camps is a two-week free coding camp that will allow you to learn data science, web development, machine learning, and mobile app development. You will get the opportunity to analyze and draw conclusions from data by using SQL, Python, and data visualization tools. You will develop websites by using different programming languages like HTML, CSS, and JavaScript. At the conclusion of the camp, you will build a visualization of a topic of your interest.
8. Columbia University’s Pre-College Programs: Data Science and Machine Learning 1
Location: Columbia University, New York, NYC
Cost: Varies by program type; Financial aid available
Acceptance rate/cohort size: Highly selective
Dates: Multiple in-person and online sessions
Application Deadline: Varies by program type
Eligibility: High school students
Columbia University's Pre-College Data Science and Machine Learning will allow you to understand the fundamentals of science and explore different career opportunities in the field. You will get the opportunity to learn the impact of machine learning and data science on the real world. You will develop basic coding skills in Python, understand machine learning algorithms, and gain hands-on experience. The program will allow you to learn data analysis and ethical data presentation.
9. NYU’s Machine Learning
Location: NYU Tandon School of Engineering, Brooklyn, NY
Cost: $3,050 + additional (housing and food)
Acceptance rate/cohort size: Highly selective
Dates: Session 1: June 16 – 27; Session 2: July 7 – 18; Session 3: July 28 – August 8
Application Deadline: April 21
Eligibility: 9th-11th grade high school students with minimal programming experience, must have completed Algebra 2, Minimum 3.0 GPA
NYU Tandon's Summer Program for Machine Learning is a two-week in-person program for high school students. The program will provide you with an opportunity to learn about artificial intelligence, data analysis, mathematical techniques, and machine learning. You will understand the fundamentals of image and video recognition technologies, autonomous vehicles, medical diagnosis, and many other technologies that play a role in our everyday lives. You will learn important machine learning principles, including linear regression and neural networks. The program will allow you to learn engineering principles and apply them to solve challenges in society.
10. Noble Desktop’s Python for Data Science Bootcamp
Location: In-person: New York City and Virtual
Cost: $1,495
Dates: Varying schedules; Self-paced option available
Application Deadline: Rolling
Eligibility: High school students with a minimal coding background
Noble Desktop’s Python for Data Science Bootcamp is a hands-on program where you learn how Python is actually used for data analysis. You start with the basics, like variables, functions, and control flow, then move into tools such as NumPy and Pandas to work with real datasets. Along the way, you practice cleaning data, running descriptive statistics, exploring patterns, and building simple visualizations. The focus stays practical, making this a good option if you want to understand how data science and basic machine learning concepts work through coding rather than theory alone.
11. UC Berkeley’s Data Science - The AI Journey
Location: Virtual
Cost: $2,699
Acceptance rate/cohort size: Not specified
Dates: July 6-31
Application Deadline: July (tentative, based on previous years)
Eligibility: Students aged 12-18, comfortable with Python coding
UC Berkeley’s Data Science: The AI Journey introduces you to how data science and artificial intelligence are actually used. You work with real datasets each day, learning how to clean data, visualize patterns, and build basic machine learning models while exploring ideas like neural networks and statistical analysis. The focus stays hands-on as you develop projects, interpret results, and turn data into clear insights. By the end of the program, you will leave with a solid grounding in data science and AI tools and earn a Data Science Scholar Certificate.
12. Introduction to Data Visualization - University of Washington
Location: Virtual
Cost: $895
Dates: June 30 – July 11
Application Deadline: Rolling
Eligibility: 9th-12th-grade high school students
The University of Washington’s Introduction to Data Visualization is a virtual program for high school students. It will allow you to learn different types of data visualizations, foundational design principles, and design patterns. You will get the opportunity to learn Tableau, which is a data visualization software to create maps, charts, and graphs. You will learn the use of data visualizations by businesses, the integration of AI tools with Tableau for improved storytelling, and explore potential career opportunities in the field.
13. UCLA’s Python for Economics and Finance Summer Institute Program
Location: Virtual
Cost: $2,611, scholarships available
Acceptance rate/cohort size: Selective
Dates: July 14–Aug 1 (tentative)
Application Deadline: June 13 (tentative)
Eligibility: 9th-12th-grade students must be 15 years of age
The Python for Economics and Finance Summer Institute Program is an online program for high school students. You will get the opportunity to participate in economics lectures led by UCLA faculty and engage in discussions led by UCLA Economics Peer Learning Facilitators. You will learn interesting topics, including visualization, data types, flow control, and more. You will learn to apply Python data analysis to different economic issues. You do not need any prior knowledge of programming to participate.
14. Stanford AI4ALL
Location: Virtual
Cost: $4,000; financial aid available
Dates: Online: June 15 – Friday, June 26, Residential: July 19 – July 31
Application Deadline: Typically in March
Eligibility: Open to current 9th-grade students who are passionate about unlocking AI’s potential to make a positive impact and shape the future of computer science.
The Stanford AI4ALL is a three-week online program for high school students. It allows you to participate in hands-on research projects, attend lectures, and engage in mentoring activities. You will get the opportunity to learn in-depth about AI through exploring topics including computer vision, medical AI, natural language processing, and robotics. You will learn about the impact of AI in improving society, participate in career development workshops, and learn from top professionals and researchers.
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