Research, Analytics, Data Innovation, and New Technologies
Program Overview:
RADIANT is a premier, hands-on artificial intelligence (AI) and data science program designed for high school students participating in the Notre Dame Leadership Seminars. Led by faculty from the Lucy Family Institute for Data & Society and supported by iTREDS Scholars from the University of Notre Dame, the program offers students a unique opportunity to explore the intersection of data, technology, and society. High school students can apply for the program through the Office of Pre-College Programs.
Through engaging workshops, real-world case studies, and close mentorship, participants will build foundational skills in data science, AI, and computational thinking. The curriculum emphasizes teamwork, problem-solving, and ethical data use to address societal challenges. Students will gain hands-on experience in analyzing complex datasets, developing machine learning models, and creating impactful data visualizations—all while preparing to become responsible, innovative leaders.
Course Details:
Introduction to core data science concepts:
- Dataset selection, cleaning, and exploration
- Data analysis, machine learning, and AI-driven decision-making
- Real-world problem-solving through team projects
By the end of the course, students will be equipped with practical skills in AI and data science, with a focus on using data for social good.
Internship Opportunity for iTREDS Scholars
Notre Dame & Saint Mary’s Undergraduates:
Qualifications:
- Must be an active iTREDS Scholar from Notre Dame or Saint Mary’s College in a data science–related field
- Demonstrated interest in education, mentorship, and community engagement
- Passionate about inspiring and teaching high school students
Benefits:
- 8-week paid summer internship
- Training in teaching, mentoring, and applied data science
- Direct collaboration with faculty and high school students
Important Dates:
- The application should be submitted to the Director of Data Science Education programs no later than March 31st of each year
- Acceptance decision: by early April of each year
- Internship Duration: June – July (8 weeks)
Contact:
For more information, please contact:
Professor Sugana Chawla
Director, Data Science Education Programs
Lucy Family Institute for Data & Society
schawla@nd.edu