10 Data Science Programs for High School Students in Oregon
If you're a high school student interested in data science, gaining exposure to the field before college can help you understand how data actually gets used to solve real problems. These programs introduce you to areas such as machine learning, data visualization, statistical analysis, and computational research while helping you build technical skills in tools like Python, R, and SQL. They also provide insight into how data science intersects with fields like healthcare, cybersecurity, environmental science, and biomedical research.
Why should you attend a Data Science program in Oregon?
Oregon doesn't have many in-person data science programs, but the state's universities and STEM organizations still offer a handful of local options, including apprenticeships through Saturday Academy and short summer sessions at Oregon State University and Lewis & Clark College. Beyond these, data science opportunities available to Oregon students run virtually, through programs based at institutions like MIT, Stanford, and George Mason University. This means you can access mentorship, coursework, and research experiences from leading programs across the country without needing to travel, making virtual options a practical way to build data science skills regardless of where you live in Oregon.
Below, you’ll find 10 data science programs for high school students in Oregon.
If you’re looking for programs in Oregon, check out our blog here.
1. Veritas AI
Location: Online
Cost: Varies; Financial aid offered
Acceptance Rate: Selective
Dates: Multiple 10-15-week cohorts in a year
Application Deadline: Varies by cohort. You can apply to the program here.
Eligibility: High school students
Veritas AI, founded and run by Harvard graduate students, offers programs for high school students who are passionate about artificial intelligence. Students who are looking to get started with AI, ML, and data science would benefit from the AI Scholars program. Through this 10-session boot camp, students are 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, students get a chance to work 1:1 with mentors from top universities on a unique, individual project. A bonus of this program is that students 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.
2. Apprenticeships in STEAM Exploration – Saturday Academy
Location: Portland, Corvallis, and other Oregon/SW Washington locations depending on mentor placement
Cost/Stipend: None
Acceptance rate/cohort size: ~75 placements each year
Dates: Typically 8 weeks in the summer
Application Deadline: March 6
Eligibility: Rising 10th-12th graders who can commute to the internship locations (usually in the Portland-Metro area and the Albany/Corvallis/Eugene areas); previous ASE interns are not eligible
Saturday Academy’s Apprenticeships in STEAM Exploration gives you the chance to work on mentor-designed projects across fields such as computing, engineering, environmental science, biomedical research, and applied technology. For students interested in data science, the strongest placements involve databases, modeling, signal processing, research data, or computational analysis. You may contribute to projects that require coding, organizing technical information, testing systems, or building tools for real-world use. Some placement in this data science program for high school students in Oregon involves app development, cloud-based databases, Python, TypeScript, and environmental monitoring systems. The internship also includes varied events where you connect with other interns, reflect on your work, and present your project.
3. Lumiere Research Scholar Program
Location: Remote
Cost: Varies as per program. Need-based financial aid is available.
Acceptance rate/cohort size: Selective
Dates: Vary by cohort: summer, fall, winter, or spring. Options range from 12 weeks to 1 year.
Application deadline: Varies based on cohort.
Eligibility: Current high school students who have demonstrated a high level of academic achievement are eligible to apply
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. 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 psychology, physics, economics, data science, 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.
4. Lewis & Clark College – Data in Action: Sustainability, Science, and Storytelling
Location: Lewis & Clark College, Portland
Cost: $1,800 (includes food and lodging)
Acceptance rate/cohort size: Not specified
Dates: July 12–17
Application Deadline: Priority: January 1; rolling
Eligibility: High school students
This program connects data science with environmental sustainability, civic issues, and public communication. You’ll work with real environmental datasets while learning how to clean, structure, interpret, and visualize information in ways that are accurate and accessible. The program places strong emphasis on data journalism, so you’ll learn how to turn findings into interactive stories that can inform public understanding. Workshops may cover tools and methods such as data wrangling, visualization design, ArcGIS mapping, and reproducible workflows. Faculty mentorship and guest speakers help you understand how data is used across sustainability, journalism, and advocacy contexts. By the end, you’ll develop your own data-driven project that combines technical analysis with clear storytelling.
5. Oregon State University STEM Academy – NW Cyber Camp
Location: Oregon State University, Corvallis
Cost: $200; scholarships available
Acceptance rate/cohort size: Not specified
Dates: July 13-17
Application Deadline: Not specified
Eligibility: Students entering grades 9–12
NW Cyber Camp is a cybersecurity-focused program, but it has clear value for students interested in data-driven security, systems analysis, and technical problem-solving. You’ll explore concepts such as digital forensics, phishing detection, encryption, and network vulnerabilities through hands-on challenges. These activities require you to examine patterns, interpret technical clues, and understand how information moves through digital systems. While the program is not a traditional data science course, it introduces several ideas that connect to cybersecurity analytics and computational evidence. You’ll also gain exposure to how cybersecurity professionals protect sensitive information and respond to threats. This is a useful Oregon-based option if you want to see how data, logic, and computing intersect in the security field.
6. Kode With Klossy Summer Camps
Location: Online (in-person options available)
Cost/Stipend: Free
Acceptance rate/cohort size: Competitive
Dates: Multiple two-week sessions between June and August
Application Deadline: March 31
Eligibility: Girls and gender-expansive teens between the ages of 13 and 18
Kode With Klossy’s summer camps introduce you to coding through project-based tracks in areas such as data science, machine learning, web development, and mobile app development. In the data-focused curriculum, you’ll work with tools like SQL, Python, and visualization platforms to examine datasets and draw meaningful conclusions. The AI and machine learning track adds exposure to algorithms, datasets, natural language processing, and Python-based chatbot development. Across the program, you’ll learn by building, testing, and presenting a final technical project. Discussions around bias, accessibility, and ethical technology help you understand the broader impact of the tools you are using.
7. MIT Beaver Works Summer Institute (BWSI)
Location: Virtual
Cost: $2,350; For applicants belonging to families with an income below $150,000, the program is free
Acceptance rate/cohort size: Highly selective
Dates: Online courses: Early February – mid-June | In-person/online summer program: Early July – early August
Application Deadline: March 30
Eligibility: High school students entering their senior year who are U.S. citizens
MIT’s online data science program for high school students in Oregon is built around intensive, project-based learning in advanced technology fields, with several tracks that connect directly to data science, machine learning, and AI. Depending on the course, you may work with Python, geospatial data, satellite imagery, medical datasets, language data, or computer vision systems. Programs such as CogWorks, Medlytics, and Remote Sensing for Disaster Response push you to apply algorithms to real-world problems rather than treating data science as an abstract subject. You’ll practice technical workflows involving coding, model development, image processing, data interpretation, and collaborative engineering tools. Team-based capstones are a major part of the experience, requiring you to communicate findings and build functional solutions under time constraints.
8. George Mason University: Aspiring Scientists Summer Internship Program (ASSIP)
Location: Online (in-person options available)
Cost: $1,299 + $25 application fee
Acceptance rate/cohort size: Competitive
Dates: June 18 – August 12
Application Deadline: February 15
Eligibility: High school students who are at least 15 years old (remote internships)
George Mason University’s ASSIP gives you the chance to work on research projects across STEM fields, including data science, artificial intelligence, machine learning, cybersecurity, robotics, and computer science. Students interested in data science can pursue placements involving computational modeling, large datasets, applied analytics, or technical experimentation. You’ll work under faculty or mentor guidance while developing skills in research design, data analysis, scientific writing, and presentation. The experience is designed like an authentic research internship, so your responsibilities may include documentation, coding, literature review, or interpretation of results. Seminars and career-focused discussions help you connect your project work to broader STEM pathways. The final symposium allows you to present your research and explain the methods behind your findings.
9. EDIT ML Summer Internship Program
Location: Online
Cost/Stipend: Free
Acceptance rate/cohort size: Competitive
Dates: June 13 – August 31
Application Deadline: March 1
Eligibility: High school students with a demonstrated ability in computer science
The EDIT ML Summer Internship Program is a research-focused opportunity for students interested in applying machine learning and data science to biomedical problems. You’ll work with complex data types such as medical images, pathology reports, electronic health records, genomic data, multi-omics datasets, and biomedical text. The program emphasizes programming, algorithm development, and computational analysis using tools such as Python, R, and high-performance computing environments. You get to apply machine learning to clinical and research questions where accuracy, ethics, and interpretation matter. Mentorship, seminars, and guided research activities further help you understand how AI is used in medicine, diagnostics, and pathology.
10. Stanford AIMI Summer Research Internship
Location: Online
Cost: $2,400 + $45 application fee; Financial aid is available
Acceptance rate/cohort size: Selective; ~50 students per year
Dates: June 15 – 26 and July 6 – 17
Application Deadline: December 15 – February 20
Eligibility: U.S. high school students (14+) with solid math or computer programming skills, or those who have worked on a healthcare project
The Stanford AIMI Summer Research Internship introduces you to the use of artificial intelligence in healthcare, with a particular focus on medical imaging and clinical decision-making. You’ll attend lectures on machine learning, datasets, model evaluation, medical AI applications, and responsible AI development. Small-group project work allows you to apply these ideas while collaborating with mentors and peers on a focused health AI research question. The program is especially useful if you are interested in how data science supports diagnosis, imaging analysis, and patient-centered healthcare tools. Expert sessions also expose you to perspectives from academia, medicine, industry, government, and nonprofit work.