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Research Program for HS Students – Summer 2026

Computer Science
Science
Engineering

University of Texas at Dallas, Computer Science K-12 Outreach

Dallas, TX8 weeks (June 8 – July 31, 2026)

The Research Program for High School Students at the University of Texas at Dallas is an intensive 8-week summer initiative running June 8 through July 31, 2026, designed for highly motivated students completing grades 10 and 11. The program offers three distinct pathways: intensive lab internships in real computer science research settings (20 to 40 hours per week), research workshops available in-person or virtually, and a full-day deep-dive artificial intelligence workshop spanning the entire 8 weeks. Costs range from $900 to $2,000 depending on the pathway, with 50% discounts available for low-income families. This is a rare opportunity for high schoolers to gain genuine university-level research experience in computer science and AI alongside faculty and researchers at a leading institution.

Visit k12.utdallas.edu

Skills You'll Build

Programming

Writing code to build software, automate tasks, or bring an idea to life on a screen.

Scientific Research

Designing studies, testing hypotheses, and drawing evidence-based conclusions.

Machine Learning

Training computer models to recognize patterns and make predictions from data.

Data Analysis

Making sense of numbers and datasets to find patterns, test ideas, and support decisions.

Problem Solving

Breaking down a challenge and working through it methodically to a solution.

Critical Thinking

Evaluating information carefully before drawing a conclusion or making a decision.

Related Careers

Software Engineer

Students develop applications, conduct simulations, and write code as part of lab internships and workshops.

Machine Learning Engineer

The 8-week deep-dive AI workshop teaches advanced coding and data analysis skills applied to real-life AI projects.

Data Scientist

Workshop curriculum emphasizes data analysis skills and applying them to real-world research problems.

University Professor

Students conduct research under faculty supervision in CS labs, mirroring academic research environments.

Quick Facts

Grade Levels
10th - 12th
Format
Hybrid
Time Commitment
20-40 hrs/week (labs); 4+ hrs/week (workshops)
Competitiveness
Highly Selective
Best For
Advanced, self-motivated CS enthusiasts

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