Engineering programs provide high school students with hands-on opportunities to solve practical problems, build technical design skills, and practice analytical thinking beyond the classroom. Through these programs, you can practice applying math and science concepts to tangible challenges while developing computational, design, and research skills that are critical for advanced study and STEM careers. These programs also help you explore specialized fields such as mechanical systems, robotics, aerospace, software, or product design using professional tools and methods.
Fall engineering programs for high school students stand out in particular because they allow you to pursue engineering alongside your schoolwork, integrating ongoing projects into your academic year. Some are structured as mentorships, internships, or pre-college courses focusing on research, design projects, and collaborative problem-solving. Whether offered virtually or on campus, these fall engineering programs for high school students offer access to university labs, software platforms, and structured research experiences that are difficult to replicate independently.
Below is a curated list of 14 fall engineering programs for high school students. Each entry includes the cost or stipend, program dates, deadlines, location, eligibility requirements, and a description of the specific skills you will gain.
1. Fred Hutchinson Cancer Research Center Summer High School Internship Program
Location: Fred Hutchinson Cancer Research Center, Seattle, WA
Stipend: Offered upon completion
Dates: June 23–August 15
Application Deadline: March 31
Eligibility: Open to high school students entering their senior year or final term after the summer with a strong science background
Through the Fred Hutchinson Cancer Research Center’s Summer High School Internship Program, you’ll spend eight weeks gaining hands-on exposure to biomedical research in Seattle. The first two weeks are dedicated to lab training, where you’ll learn essential techniques such as PCR, DNA isolation, gel electrophoresis, and tissue culture in a safe, structured lab environment. Once you have mastered the basics, you’ll be paired with a mentor and placed into a research group, contributing to projects and observing how scientists approach daily lab work. Throughout the program, you’ll take part in weekly sessions on topics such as ethics in science, biostatistics, health disparities, and career pathways in STEM. The internship also includes college preparation workshops and career discussions with researchers. At the end of the program, you’ll present your work to other students, mentors, and family members.
2. Introduction to Data Engineering – IBM
Location: Online
Stipend: None (Fee-based; included with Coursera Plus)
Program Dates: Flexible, ~1 week at 10 hours/week
Application Deadline: Rolling enrollment
Eligibility: Open to high school students and above | Beginner-friendly
This course covers the foundations of data engineering, a field closely linked with computational and systems engineering. You will study the data engineering lifecycle, including data storage, pipelines, and integration. Technical topics include relational and NoSQL databases, data warehouses, data lakes, and big data engines such as Apache Spark. You will learn how to load and query datasets, providing you with practical exposure to Extract, Transform, Load (ETL) workflows. The course also introduces governance and security principles, preparing you to understand how engineers design and maintain scalable data systems.
3. NASA Office of STEM Engagement (OSTEM) Internships
Location: Virtual or a NASA center (onsite)
Stipend: Paid (amount depends on the NASA center and student level)
Program Dates: September–December (Fall Session)
Application Deadline: May 22
Eligibility: High school students (16+), undergraduates, and graduates | U.S. citizens only | Have a cumulative 3.0 GPA (on a 4.0 scale)
Through this program, you will work with NASA mentors on applied projects spanning aerospace engineering, software development, and data systems. Fall placements often involve tasks such as building simulation models, analyzing spacecraft data, or testing mechanical designs that support active missions. The structure integrates professional engineering workflows, giving you exposure to both research and applied problem-solving in areas like aeronautics and human spaceflight. Because internships are project-based, you gain hands-on experience using engineering tools while contributing directly to NASA initiatives.
4. Harvard-Smithsonian Science Research Mentoring Program (SRMP)
Location: Hybrid (Center for Astrophysics; Harvard & Smithsonian (Cambridge, MA) with virtual meeting options)
Stipend: Provided by the City of Cambridge
Program Dates: September–May
Application Deadline: Early May (typically window: May 1–10)
Eligibility: High school juniors and seniors from Cambridge Rindge and Latin School (CRLS); Cohort size is approximately 10–16 students per year
In this program, you will collaborate with astronomers and astrophysicists on year-long research projects using authentic astronomical datasets. Your work will typically involve coding for data analysis, statistical modeling, and visualizing large-scale observational data. Regular research meetings will guide you through formulating a research question, building methodology, and preparing findings for presentation at a final symposium. Alongside technical work, you will also strengthen skills in scientific writing and research communication. The combination of mentorship, applied computation, and access to professional tools makes this an intensive entry point into data-driven engineering and physical sciences research.
5. Smithsonian Science Education Center Internship
Location: Virtual or hybrid (Washington, DC)
Stipend: Paid
Program Dates: Typically 8–10 weeks (exact dates may vary)
Application Deadline: Varies
Eligibility: Students aged 16+, including high school, undergraduate, and graduate levels (varies by specific internship)
This internship focuses on STEM communication and the development of digital education resources. You will work with Smithsonian staff to design learning materials, create outreach content, and support science engagement projects that often integrate engineering themes. Projects may involve using design tools, analyzing audience data, or testing prototypes for classroom or online use. Over 8–10 weeks, you will gain skills in science communication, educational design, and applied digital media—all within the context of promoting STEM learning.
6. Aspiring Scholars Directed Research Program (ASDRP)
Location: Fremont, CA (in-person, with remote options)
Cost: Cost ranges from $0 to ~$1,070 depending on financial need | Need-based scholarships / full waivers are available for eligible students
Program Dates: September 1–January 15
Application Deadline: July 15 (Priority deadline) | August 15 (Final deadline)
Eligibility: High school students (grades 9–12)
ASDRP places you in active research groups spanning disciplines such as engineering, computer science, and applied physics. Depending on your project, you may work with laboratory instrumentation, computational modeling platforms, or software frameworks for data analysis. Common techniques include data analysis (Python, R), machine learning workflows, image or signal processing, wet-lab protocols (where applicable), and writing for science (papers, peer review, posters). The fall session emphasizes collaborative research, where you contribute to long-term projects under the guidance of faculty and industry mentors. Outcomes often include technical reports, presentations, or journal submissions, providing you with direct experience in the academic research process.
7. Textron Aviation High School Internships
Location: Wichita, KS
Stipend: Paid, part-time for high school interns | Exact wage depends on position
Program Dates: September–December (Fall session)
Application Deadline: Applications open in April (for Fall session)
Eligibility: High school students aged 16+ | Must balance school with internship hours
This program gives you direct exposure to the aviation industry through placements in engineering, aviation maintenance, IT, or related fields. As a fall intern, you may assist with mechanical systems work, CAD-based design tasks, or process improvement projects, depending on your assignment. You will use professional tools (CAD software, technical drawings, measurement tools), follow safety protocols, and participate in collaborative workflows with mentors. The experience emphasizes technical skill-building in a professional setting while also requiring time management as you coordinate work with school responsibilities. Paid placements make this a practical way to gain applied engineering and industry experience.
8. Los Alamos National Laboratory High School Internship
Location: Los Alamos, NM (in-person)
Stipend: Paid
Program Dates: Part-time, September–December (Fall session)
Application Deadline: September 30 (for Fall session)
Eligibility: High school seniors in New Mexico | Minimum GPA of 2.75 | Must be 16+ years old | Must pass a pre-employment drug test
This internship places you in an active research environment at a national laboratory, where you work part-time alongside scientists and engineers. Depending on the placement, tasks may involve computational modeling, lab maintenance, data analysis, or applied engineering research. Mentorship from LANL staff emphasizes lab safety, technical communication, and collaborative problem-solving. The fall schedule (10–20 hours per week) is designed to run in parallel with the academic year, offering structured exposure to high-level research practices in a professional laboratory setting.
9. Research Scholars – UC San Diego
Location: Online, hybrid, or in person at UC San Diego, CA
Cost: Fee-based, varies by track and format | Financial aid/scholarships are available
Program Dates: September–December (Fall session)
Application Deadline: Rolling | Closes when tracks are filled
Eligibility: High school students (grades 9–12) | Must be 15 or older | Some tracks require a minimum GPA of 3.3
UCSD’s Research Scholars program offers track-based research training in fields such as bioengineering, computer science, and applied life sciences. Each fall track integrates lectures with guided lab or project work, where you may analyze datasets, test engineering principles, or explore computational methods depending on your discipline. The program emphasizes structured research methodology and culminates in peer reviews or presentations, where participants present their findings. With options for in-person, hybrid, or online participation, it provides flexible access to university-level research experiences during the school year.
10. Generative AI: Prompt Engineering Basics – IBM
Location: Online
Stipend: None (Fee-based; included with Coursera Plus)
Program Dates: Flexible, ~9 hours total | Self-paced
Application Deadline: Rolling enrollment
Eligibility: Open to high school students and above | No prior AI/ML experience required
This course introduces practical methods for controlling generative AI models, with applications that extend to engineering and data-driven design. You will study advanced engineering techniques, including zero-shot and few-shot prompting, chain-of-thought reasoning, and multimodal prompting, for text and image generation. You will have the opportunity to experiment with AI outputs, testing reliability and precision in structured tasks. By the end of the course, you will be able to design and evaluate prompts systematically, a skill increasingly relevant in computational engineering and automation workflows.
11. Introduction to Software Engineering – IBM
Location: Online
Stipend: None (Fee-based; included with Coursera Plus)
Program Dates: Flexible, ~1 week at 10 hours/week
Application Deadline: Rolling enrollment
Eligibility: Open to high school students and above | No prior experience required
This course provides a structured introduction to the software engineering process and its role within engineering and IT systems. You will learn the Software Development Life Cycle (SDLC), study Agile and Scrum frameworks, and practice programming basics in Python. You will be introduced to integrated development environments (IDEs), deployment models, and software design patterns. The content also covers software architecture, the Unified Modelling Language (UML), and common web development approaches, providing a practical foundation for understanding how engineering projects transition from concept to deployed applications.
12. Systems Engineering – MathWorks
Location: Online
Stipend: None (Fee-based; included with Coursera Plus)
Program Dates: Flexible, ~1 hour total
Application Deadline: Rolling enrollment
Eligibility: Open to high school students and above | No prior experience required
This short course introduces the fundamentals of systems engineering with a focus on model-based design and requirements analysis. You will learn how to define system architectures, document constraints, and optimize trade-offs through structured design studies. The content emphasizes verification and validation methods, showing how to ensure that a system meets its intended performance. Even though brief, the course provides a framework for understanding how engineers approach the design and evaluation of large-scale, multi-component systems.
13. Fundamental Skills in Engineering Design – University of Leeds
Location: Online
Stipend: None (Fee-based; included with Coursera Plus)
Program Dates: Flexible, ~6 hours total
Application Deadline: Rolling enrollment
Eligibility: Open to high school students and above | Beginner-friendly
This course introduces the engineering design process, from requirement gathering to conceptual design and product planning. You will practice structured problem-solving and decision-making through applied design scenarios, learning how engineers translate technical challenges into project-ready solutions. The curriculum covers product requirements, development planning, and methods for evaluating design trade-offs. With hands-on assignments, the course builds foundational skills in engineering practices and project management that align with real-world product development workflows.
14. Engineering and Product Design Processes – Arizona State University
Location: Online
Stipend: None (Fee-based; included with Coursera Plus)
Program Dates: Flexible, ~3 hours total
Application Deadline: Rolling enrollment
Eligibility: Open to high school students and above | Beginner-friendly
This course introduces the structured steps behind both engineering and product design workflows. You will study ideation, research, design specifications, and prototyping while learning how engineers evaluate user requirements and translate them into technical solutions. Hands-on assignments emphasize skills such as creating engineering drawings, developing design specifications, and incorporating user feedback into design iterations. As part of ASU’s rapid prototyping specialization, the course provides a foundation for understanding how product development is connected to engineering principles in real-world applications.
One more option – Horizon Academic Research Program
If you’re looking for a competitive mentored research program in subjects like data science, machine learning, political theory, biology, and chemistry, consider applying to Horizon’s Research Seminars and Labs! This is a selective virtual research program that lets you engage in advanced research and develop a research paper on a subject of your choosing. Horizon has worked with 1000+ high school students so far and offers 600+ research specializations for you to choose from. You can find the application link here!
Image source – Arizona State University