Pre-College Program

Applied Analytics Immersion for High School Coders

AAI4HC — an intensive, college-level analytics experience for high school students ready to go beyond the classroom.

2 weeks Intensive Program
20 students Per Cohort
100% Project-Based
About AAI4HC

College-Level Analytics. High School Students.

The Applied Analytics Immersion for High School Coders (AAI4HC) is the Callais Institute's flagship pre-college program — a two-week, residential summer experience that places high school juniors and seniors inside a real university analytics environment.

Participants learn Python, SQL, and machine learning fundamentals, work with real datasets from New Orleans and Louisiana, and present a final analytics project to a panel of faculty and industry judges on the last day.

The program is intentionally small (20 students per cohort) to provide intensive mentorship, and is offered at no cost to qualifying students from under-resourced schools through partnerships with the Louisiana Department of Education and local foundations.

Who Should Apply?

Rising high school juniors and seniors with at least one year of programming experience (Python, JavaScript, or similar) and a strong interest in data science or analytics.

AAI4HC

Two Weeks. Real Data. College-Level Work.

🐍
Python, SQL & ML
📊
Real LA Datasets
🎤
Final Presentation
👥
20 Students / Cohort

MOST RECENT COHORT

Completed July 2026 | Loyola University New Orleans

A look at the hands-on, high-energy learning environment our students take part in across the Institute.

Callais Institute students presenting research findings to a class A speaker presenting data insights to Institute students

Two-Week Curriculum

Each week builds on the last — from foundations to final project.

WEEK 1

Foundations & Exploration

  • Day 1–2 Python for data: pandas, NumPy, data wrangling with messy Louisiana datasets
  • Day 3–4 SQL fundamentals: querying, joining, aggregating real business databases
  • Day 5 Exploratory data analysis and visualization with matplotlib and Seaborn
  • Evening Panel dinner with Loyola analytics faculty and industry mentors
WEEK 2

Machine Learning & Final Project

  • Day 6–7 Intro to machine learning: supervised models, evaluation metrics, scikit-learn
  • Day 8–9 Team project work: dataset selection, analysis, modeling, and visualization
  • Day 10 Final presentations to faculty and industry judges; certificates awarded
  • Evening Closing reception with families and program alumni

Real Data. Real Stakes. Real Impact.

Every AAI4HC cohort works with real New Orleans and Louisiana datasets to tackle a challenge that matters to the community.

Eligibility & Selection

Who Can Apply?

  • Current high school juniors or seniors

    Rising 11th or 12th graders.

  • Prior programming experience

    At least one year of Python, JavaScript, or equivalent in an academic or self-directed setting.

  • Genuine interest in data & social impact

    No specific GPA cutoff — we look for demonstrated curiosity and motivation in the application essay.

  • Ability to participate in-person

    The program is fully residential on Loyola's campus. Limited commuter spots available upon request.

COST & FINANCIAL SUPPORT

The full program cost is covered by the Callais Institute for all admitted students. A housing deposit is required but refunded upon attendance. Need-based waivers available — contact us.

Application Timeline

Opens closer to the date

Applications Open

Application portal opens at pciba.loyno.edu/apply

Closes closer to the date

Application Deadline

All materials (essay, transcript, recommendation) due

Announced closer to the date

Admissions Decisions

All applicants notified by email

Begins closer to the date

Program Begins

Residential check-in at Loyola University

Apply for the Next AAI4HC Cohort

The Summer 2026 cohort has concluded. Applications for the next cohort will open closer to the date — space is limited to 20 students.

Start Application (opens in new tab)