14 Data Science Summer Programs for High School Students in Texas
If you are a high school student interested in data science, joining a summer program can be a great way to explore the field in depth. Data science programs often combine projects with mentorship from university faculty, graduate students, or industry professionals, allowing you to build analytical skills and understand how data is used to solve problems. As a participant, you will work with datasets, learn programming fundamentals, practice data visualization, and present your findings, all skills that translate directly into future academic or career paths.
Why should you attend a program in Texas?
Texas is home to major universities, tech companies, and innovation hubs that offer summer opportunities to explore data science. Whether you are interested in machine learning, statistics, cybersecurity, artificial intelligence, or computational modeling, the state provides a strong ecosystem for data science learning. With access to experienced mentors, strong research facilities, and diverse project areas, Texas programs also allow you to dive deeper into your interests and build connections that can support your growth.
To help you get started, we have put together 14 data science summer programs for high school students in Texas.
If you are looking for internships in Texas, check out our blog here.
1. NASA Office of STEM Engagement (OSTEM) Internships
Location: NASA research centers across the U.S., including in Texas (e.g., Johnson Space Center, Houston; in-person placements)
Stipend: Paid (amount varies by assignment)
Acceptance rate/cohort size: Competitive
Dates: Late May/early June – August (10–15 weeks)
Application deadline: February 27
Eligibility: High school students, ages 16 and up, with U.S. citizenship and a minimum GPA of 3.0
NASA’s OSTEM paid internship program allows high school students to contribute to real NASA missions in areas such as data science, analytics, programming, engineering, and scientific research. You will collaborate with NASA scientists and engineers, work with satellite data, assist in Earth and space science investigations, and take part in innovative STEM projects. You may also engage in tasks like research, data collection, and analysis. You will build technical, coding, and communication skills through structured training and mentorship.
2. Veritas AI
Location: Virtual
Cost: Varies; financial aid available
Acceptance rate/cohort size: Selective
Dates: Multiple 12- to 15-week cohorts throughout the year, including in the summer
Application deadline: May deadlines for summer cohorts. You can apply to the program here.
Eligibility: High school students; the AI Fellowship is open to previous AI Scholar participants or students with some experience working with AI or Python.
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.
3. Kode With Klossy Summer Camp
Location: Virtual and in-person; sites vary each year
Cost: Free
Acceptance rate/cohort size: Not specified
Dates: Two weeks in the summer; dates vary by year
Application deadline: Not specified
Eligibility: Women and gender expansive teens, ages 13 – 18
Kode With Klossy’s Summer Camp is a two-week program focusing on data science, software development, coding/programming, and machine learning. You will explore these disciplines through one of four tracks: data science, web development, mobile app, and machine learning. In the data science track, you will learn how to examine data and draw insights using SQL, Python, and data visualization tools. The machine learning track covers AI and ML concepts, including algorithms, natural language processing, and datasets. Each track covers core concepts and instruction while also helping you practice what you learn through project work.
4. Lumiere Research Scholar Program: Data Science Track
Location: Virtual
Cost: Varies; financial assistance offered
Acceptance rate/cohort size: Selective
Dates: Multiple sessions each year, including in the summer
Application deadline: May deadlines for summer cohorts
Eligibility: High school students; accepted students typically have an unweighted GPA of 3.3 out of 4.0
The Lumiere Research Scholar Program pairs you with a Ph.D. mentor for a fully online research experience. You can choose to work on a project focused on data science, exploring the field and related topics like machine learning, statistics, or deep learning, while working with real datasets. You will connect regularly with your mentor to develop your own research question, conduct analysis, and learn how to interpret and present your results. You will also have access to sessions with a writing coach to learn how to document your findings. By the end, you will produce an independent research paper that can be added to your college applications or future academic pursuits.
5. NASA and UT Austin’s STEM Enhancement in Earth Science (SEES) High School Summer Intern Program
Location: Online and University of Texas at Austin, Austin, TX (in-person for final two weeks)
Cost/Stipend: None
Acceptance rate/cohort size: ~10.75%; 215 students/year
Dates: Virtual modules: May – July + on-site: July 6 – 19 + virtual symposium: July 21–22
Application deadline: February 22
Eligibility: High school sophomores and juniors who are at least 16 years old by program start
SEES offers high school students a chance to step into real NASA and university-level Earth and space science research. You will begin the summer with online modules, studying Earth- and space-science fundamentals. Then, depending on your placement, you will either collaborate remotely with project mentors or travel to Austin for a full-time, residential, two-week on-campus internship. Working alongside scientists and engineers at the Center for Space Research, you will analyse satellite data, gain exposure to remote-sensing, climate science, planetary science, and mission design, and conduct authentic research. The internship ends in a virtual science symposium, where you will present your findings.
6. Texas A&M Statistics and Data Science Summer Camp
Location: Texas A&M University, College Station, TX
Cost/Stipend: None
Acceptance rate/cohort size: Competitive
Dates: June 2 – 6
Application deadline: May 12
Eligibility: High school students, ages 15 and up, in the Bryan/College Station area or nearby
The Statistics & Data Science Summer Camp at Texas A&M is a one-week day camp designed to introduce high school students to core concepts in statistics and data science. Throughout the week, you will engage in lectures, data analysis exercises, and group projects that help you gain exposure to tools and methods for interpreting and visualising data. The curriculum emphasises real-world “storytelling with data”, helping you learn how to pose questions, analyse datasets, derive insights, and communicate findings effectively. You will also write computer programs and participate in games with peers.
7. University of North Texas’s Summer Camps
Location: University of North Texas, Frisco, TX
Cost: Varies
Acceptance rate/cohort size: Not specified
Dates: Week-long camps in June and July; dates TBA
Application deadline: TBA
Eligibility: High school students
The University of North Texas runs multiple data science and tech-focused camps each year. As a participant, you will explore topics like informatics, human-computer interaction, misinformation, and the future of tech-aided work. Each camp curriculum consists of lessons, hands-on exercises, and peer collaboration opportunities. You will learn from UNT research faculty and Ph.D. students who specialize in areas of information science. You will also gain insights into careers in deep learning, data science, data analysis, predictive analytics, machine learning, and generative AI.
8. UT Austin Computer Science Summer Academies
Location: UT Austin, Austin, TX
Cost: Varies by academy; some options are free, while some charge tuition.
Acceptance rate/cohort size: Not specified
Dates: One-week residential summer programs; dates vary by program
Application deadline: December 22
Eligibility: High school students entering grades 10–12
The UT Computer Science Summer Academies offer high school students an immersive introduction to computing on a real university campus. During the one-week residential academies, you will learn programming, collaborate on projects, and explore specialized tracks such as game development, iOS app development, robotics, machine learning, or general CS fundamentals. Some tracks, like the Academy for All and the Academy for Women, are free and are designed to broaden access to computer science education. Others are fee-based options, but offer deeper dives into specific computer science topics. These programs also allow you to live in university residence halls, meet peers with similar interests, and engage with faculty mentors.
9. UT Dallas Data Science & AI Summer Research Programs for High School Students
Location: UT Dallas campus, Dallas, TX (in-person and virtual options)
Cost: Intensive research internship: $1,000 | Summer workshops: $700 (in-person); $600 (virtual) | Deep-dive AI workshop: $1,600
Acceptance rate/cohort size: Selective
Dates: June 9 – August 1
Application deadline: Typically, spring
Eligibility: High school students; residential participants must be 16 or older.
UT Dallas K12 runs multiple summer programs for high schoolers, including its Computer Science/Data Science Research Internships, hands-on research workshops, and a Deep-Dive AI Workshop centered on machine learning and data science. The internships allow you to get exposure to computer science research, while the workshops offer practical learning opportunities focused on Python programming, machine learning techniques, data processing, and the use of tools like NumPy, pandas, and TensorFlow. As a participant, you will learn through projects focused on simulations, app development, data analysis, or writing a research paper. The eight-week Deep-Dive AI Workshop offers daily instruction in advanced coding, neural networks, data visualization, and real-world applications, taught by doctoral and graduate-level instructors.
10. UT Dallas High School Research Academy (HSRA): Data Analytics Track
Location: University of Texas at Austin campus, Austin, TX
Cost: $4,000 + additional $400 non-refundable deposit upon acceptance; need-based scholarships available
Acceptance rate/cohort size: Selective
Dates: June 8 – July 15
Application deadline: March 23; application opens in January each year.
Eligibility: Rising high school sophomores, juniors, and seniors who are at least 15 by program start
HSRA gives high school students the opportunity to conduct scientific research within active labs at UT Austin’s College of Natural Sciences over the course of five weeks. You will collaborate directly with UT faculty and students on projects, working with real datasets and learning data science methods, computational tools, and statistical modeling techniques applied across fields like biology, neuroscience, and environmental science. Throughout the program, you will learn lab techniques, data analysis methods, and research practices. You will also attend weekly seminars with guest researchers and present your work in the form of a poster at the HSRA Research Symposium.
11. Girls Who Code Pathways Program
Location: Virtual
Cost: Free
Acceptance rate/cohort size: Not specified
Dates: Six to seven weeks in the summer
Application deadline: TBA
Eligibility: Students in grades 9 – 12, ages 14 – 18, who identify as girls or non-binary individuals
Girls Who Code (GWC) offers free virtual summer programs to high school students interested in computer science. The GWC Pathways Program is a six-week self-paced opportunity to explore topics like data science, web development, cybersecurity, and AI. As a participant, you will learn through step-by-step video tutorials that you can complete at your own pace. Additionally, you will attend live industry events, access opportunities to work on data science projects, and gain exposure to coding languages like Python, HTML, CSS, and JavaScript.
12. George Mason University Aspiring Scientists Summer Internship Program (ASSIP)
Location: Virtual opportunities available
Cost: $25 application fee with need-based fee waivers available
Acceptance rate/cohort size: Not specified
Dates: June 18 – August 12
Application deadline: February 15
Eligibility: Students who are at least 15 years old
ASSIP offers mentored research internships in various disciplines, including data and computational sciences. You can choose a mentor who is offering remote internships and whose research interests lie in data science topics like machine learning, natural language processing, modeling and simulation, and deep learning. Over the course of eight weeks, you will contribute to data science alongside your mentor while also developing scientific writing and communication skills. As an intern, you will learn about STEM career paths while connecting with professors and STEM professionals. The program ends with a research symposium, where you will learn about ASSIP research conducted over the summer.
13. Stanford University Pre-Collegiate Institutes: Introduction to Data Science
Location: Virtual
Cost: $3,200; financial aid available
Acceptance rate/cohort size: Not specified; average class size is 16 students.
Dates: Session 1: June 15 – 26 | Session 2: July 6 – 17
Application deadline: March 13
Eligibility: Students in grades 9 – 11 at the time of application
The Introduction to Data Science course offered by Stanford University gives high-school students a structured first look at how data science works in the real world. During the two-week session, you will learn about algorithms, statistical modeling, and computational methods, and work with real-world datasets from natural and social sciences. Through online lectures and coding exercises (often using R or similar tools), you will practice cleaning data, applying different analytical models, and interpreting results. The assignments are designed to help you connect abstract data-science concepts with concrete problems. By the end of the course, you will have a data science project that you can add to your portfolio.
14. Illinois Tech Elevate College Data Science Basics: Exploring Big Data
Location: Virtual
Cost: $350
Acceptance rate/cohort size: Not specified
Application deadline: TBA
Program dates: June 22 – 26
Eligibility: High school students
Illinois Tech offers a variety of in-person and virtual summer programs for high school students interested in exploring STEM topics. Its Data Science Basics: Exploring Big Data is a fully virtual program that offers high schoolers an introduction to big data and data analytics. Through online sessions and practical exercises in data analysis and visualization, you will learn about key data science concepts under the guidance of instructors. The program also offers opportunities to refine technical data science skills and analytical thinking.
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