9 Tech Programs for High School Students in New York
Engaging in tech programs as a high school student extends beyond just coding—it's about shaping the technological landscape of the future. These programs provide a crucial platform for tackling complex challenges, fostering creative problem-solving, and laying the foundation for a pioneering career in artificial intelligence. New York, with its bustling tech ecosystem, offers a wealth of thrilling opportunities for young enthusiasts keen on delving into tech.
To help you navigate and choose the best fit, we have compiled a list of 8 tech programs for high school students in New York!
1. NYU Tandon School of Engineering Summer Program
Cost: $3,000 base tuition, additional fees for housing and board
Application Deadline: April 22 (tentatively, based on previous years)
Program Dates: Tentatively,
Session One: June 17 to 28
Session Two: July 8 to 19
Session Three: July 29 to August 9
Eligibility: High school students that are age 14+ the day program begins (minimum 15 years old for housing)
The NYU Tandon School of Engineering Summer Program provides high school students with an in-depth exploration of artificial intelligence and machine learning. Participants have the opportunity to learn from industry-leading experts and engage in hands-on projects that apply theoretical concepts to practical scenarios.
As a key component of the program, students work collaboratively on a group project, culminating in a presentation at the program's conclusion. This final project allows students to demonstrate their innovative solutions to real-world problems using AI, showcasing their newly acquired skills and the significant impact of AI across various industries.
2. Veritas AI
Cost: AI Scholars - $2290 (financial aid is available); AI Fellowship with Publication & Showcase - $5500; Combination (AI Scholars + AI Fellowship) - $6900
Application Deadline: Upcoming fall cohort deadlines - September 8, 2024. You can apply here!
Program Dates: The fall cohort starts in September
Eligibility: High school students passionate about AI; Basic understanding of Python or completion of AI scholars is required for the AI Fellowship program
Veritas AI is founded and run by Harvard graduate students and our programs are geared towards high school students who want to build their foundations in computer science. In the program, students learn various concepts in data science and artificial intelligence like neural networks, image classification, natural language processing, sentiment analysis, coding using python, and more.
Veritas AI offers up to 100% financial aid for the 10-week AI Scholars program. Through the program students build real-world, hands-on projects in groups of 3-5 students to showcase their interests and skills. You can also apply for the AI Fellowship with Publication & Showcase Prorgram where you work 1-1 with mentors from top universities to build unique machine learning projects over a period of 12-15 weeks. These programs are a great option for you if you like engaging in hands-on learning and are a beginner!
3. NYU Applied Research Innovations in Science and Engineering
Cost: Free
Application Deadline: March 6 (tentatively, based on previous years)
Program Dates: June 3 to August 9 (tentatively, based on previous years)
Eligibility: Students living in New York City completing 10th or 11th grade in June 2024
The NYU Applied Research Innovations in Science and Engineering (ARISE) program provides high school students with an exceptional opportunity to participate in genuine scientific research. This 10-week summer program kicks off with four weeks of remote after-school workshops, transitioning into six weeks of in-person research from Monday to Friday. Students are immersed in various interdisciplinary STEM fields, including bio and molecular engineering, chemical engineering, robotics, computer science, AI, and machine learning, through hands-on projects in NYU's research labs.
The program places a strong emphasis on supporting students from underrepresented groups in STEM, such as women, students of color, and those from low-income backgrounds. Beyond scientific exploration, the program also focuses on developing presentation and public speaking skills, culminating in a colloquium where participants present their research findings to an audience that includes NYU faculty, graduate students, and peers.
Check out our detailed guide on everything you need to know before applying to the NYU ARISE program!
4. Lumiere Research Scholars Program - ML/AI Track
Cost: Lumiere Individual Research Program – $2,800; Lumiere Premium Research and Publication Program – $4,800; Lumiere Research Fellowship – $8,400
Application Deadline: Fall cohort deadline - September 8 You can apply here!
Program Dates: 12 weeks in the fall
Eligibility: High school students
The Lumiere Research Scholars Program is a distinctive initiative that pairs high school students with PhD mentors for a one-on-one independent research project. Over 12 weeks, students delve deep into their chosen fields, culminating in the development of an independent research paper, providing them with a substantial learning experience and a significant achievement for their academic and professional portfolios.
This program is structured to include 9 individual sessions with a researcher, 2 sessions with a writing coach, and participation in 5 workshops focused on the research process. It's designed for students who are eager to learn about the cutting edge of their field and are committed to producing a significant piece of research work. The Lumiere Research Scholars Program offers a variety of research topics (including machine learning and AI!) and allows students the flexibility to customize their own research topic if desired.
Check out our in depth review of Lumiere Education!
5. Horizon Academic Research Program
Location: Virtual
Application Date: May 21, 2024 for the summer cohort, and September 25, 2024 for the fall cohort
Program Dates:
Summer seminar - June 24, 2024 - September 2, 2024
Fall seminar - October 23, 2024 - February 19, 2025
Lab dates are flexible, but you must apply 4 weeks in advance.
Eligibility: High school students with good academic standing (>3.67/4.0 GPA) can apply. Most accepted students are 10th/11th graders! Only a couple of tracks require formal prerequisites, more details of which can be found here.
Horizon offers trimester-long research programs for high school students across subject areas such as data science, machine learning, political theory, biology, chemistry, neuroscience, psychology, and more! It is one of the very few research programs for high school students that offers a choice between quantitative and qualitative research!
Once you select a particular subject track and type of research you’ll be paired with a professor or Ph.D. scholar (from a top university) who will mentor you throughout your research journey. You’ll work to create a 20-page, university-level research paper that you can send to prestigious journals for publication as a high school student.
This program is a solid opportunity for you to pursue a research program in highly specialized fields, under the guidance of a top scholar. The program also provides a letter of recommendation for each student, as well as detailed project feedback that you can use to work on future projects and on college applications. Apply here!
6. NYU Tandon's Summer Program for Machine Learning
Cost: $2,500 base tuition, additional fees for housing and board
Application Deadline: April 20 (tentatively, based on previous years)
Program Dates: 2 weeks through June - August
Eligibility: High school students currently enrolled in grades 9, 10, or 11 who have successfully complete Algebra 2 (or equivalent) and have some computer programming experience (in any language)
NYU Tandon's Summer Program for Machine Learning provides high school students with an intensive introduction to machine learning and artificial intelligence. Spanning two weeks, the program pairs students with leading researchers, engaging them in personalized sessions and workshops. These activities guide students through the process of producing a college-level academic paper or preparing work for publication in high-level journals.
The curriculum offers a deep dive into machine learning applications, emphasizing both practical skills and theoretical knowledge. Participants explore various topics within the field and can tailor their research focus, ensuring a customized and thorough learning experience.
Here is everything you need to know about NYU Tandon’s Summer Program for Machine Learning!
Cost: $2,200; scholarship opportunities available
Application Deadline: May 15 (tentatively, based on previous years)
Program Dates: July 21 to 26 (tentatively, based on previous years)
Eligibility: Rising junior or senior who is in good academic standing
The Stony Brook University Computer Science and Informatics Summer Pre-College Program in Machine Learning and Self-Driving offers high school students an immersive experience in the core principles and practical applications of machine learning. Over the course of this week-long program, participants delve into self-driving technologies, machine learning algorithms, neural network structures, and data analysis methods through a combination of lectures and hands-on interactive exercises with a custom-built remote control vehicle.
This program aims to ignite students' enthusiasm for STEM, especially in the realm of machine learning, by providing practical, experiential learning opportunities. Participants will engage in the complete development process, from data collection to neural network training, building a strong foundation in machine learning and its real-world applications in autonomous vehicle technologies.
8. Columbia University Pre-College Programs (Data Science and Machine Learning courses)
Cost: $12,449 (residential), $6,300 (commuter), $3,960 (online); financial assistance available
Application Deadline: April 1 (tentatively, based on previous years)
Program Dates: 2-3 weeks throughout June - August
Eligibility: Students in grades 11 and 12 can apply
Columbia University's Pre-College Programs in Data Science and Machine Learning offer high school students a comprehensive introduction to the realm of big data and the algorithms that interpret it. These intensive courses cover foundational concepts such as statistical analysis, predictive modeling, and algorithmic thinking within the prestigious setting of Columbia University. Designed to be both challenging and engaging, the curriculum emphasizes hands-on learning, encouraging students to develop critical thinking and problem-solving skills while working with real-world data sets.
The program goes beyond theoretical learning, focusing on practical application through project-based activities. Students apply machine learning techniques to solve complex problems, culminating in the presentation of their projects, which might include predictive models or data visualization endeavors. This immersive experience not only enhances their academic journey but also provides valuable insights into potential career paths in the dynamic fields of data science and machine learning.
Check out these other pre-college programs offered by Columbia University!
9. NextGen Bootcamp: Python Data Science & Machine Learning Summer Program
Cost: $2,795
Application Deadline: Rolling
Program Dates: Tentatively,
June 27 to 19
July 22 to August 1
August 5 to 15
Eligibility: High school students with a strong interest in coding.
NextGen Bootcamp's Python Data Science & Machine Learning Summer Program offers high school students an in-depth exploration of technology, data, and predictive analytics. This engaging course focuses on Python programming, equipping participants with essential skills in data manipulation, statistical analysis, and using machine learning libraries such as pandas, NumPy, and Scikit-learn.
The program employs a hands-on, project-based approach, ensuring students can apply theoretical knowledge to practical scenarios, thereby enhancing their coding abilities and problem-solving skills. The course concludes with a capstone project where students use machine learning techniques to address real-world challenges, from predictive modeling to data visualization.
If you’re looking to build unique projects in the field of AI/ML, consider applying to Veritas AI!
Veritas AI was founded by Harvard graduate students, and through the programs, you get a chance to learn the fundamentals of AI and computer science while collaborating on real-world projects. You can also work 1-1 with mentors from universities like Harvard, Stanford, MIT, and more to create unique, personalized projects. In the past year, we had over 1000 students learn data science and AI with us. You can apply here!
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