SPECIALIST TRACK
DEEP DIVE: AI + FINANCE
AI in financial markets — prediction, risk and fraud detection
A 10-week deep dive into how AI is used across financial markets, banking and asset management.
ONLINE VIA ZOOM
GRADES 9–12
AI SCHOLARS OR PYTHON EXPERIENCE
10 SESSIONS × 2.5 HOURS
OUTCOMES
What you'll leave with
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Predictive models for financial markets
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Work across banking and wealth or asset management
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A fraud-detection model built on real patterns
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A personalized mentor evaluation
Structure and schedule
10 sessions of 2.5 hours · group classes at a 5:1 student-to-mentor ratio · fully online via Zoom.
Who it's for
Grades 9–12 who have completed AI Scholars or have prior Python experience.
The journey
Across ten sessions, applied to real market problems.
STAGE 1
Predictive modeling
Build models that forecast movements in financial markets.
STAGE 2
Banking and asset management
Apply the same methods to risk, wealth and asset management.
STAGE 3
Fraud detection
Train models that flag fraudulent activity in transaction data.
YOUR MENTORS
Who you'll work with
This track is taught by researchers and practitioners working in data science across venture capital and finance.
Nicholas
MS Statistical Science
DUKE UNIVERSITY
Data science in venture capital and finance
Joseph
MS Computational Finance
CARNEGIE MELLON UNIVERSITY
Predictive modeling in finance
College credit eligibility
Students who successfully complete a high school program are eligible for post-baccalaureate credit through University of California, San Diego Extended Studies
STUDENT OUTCOMES
Student Outcomes and Results
The research is the point, but it isn't the end of it. Here's where the work goes after the program ends.
79%
of student papers submitted to peer-reviewed journals are accepted for publication
4.5x
more likely to be admitted — our alumni were accepted at 36%, against an 8% average at the same universities
Regeneron ISEF
Veritas AI research presented at the world’s largest pre-college science fair
Deep Dive: AI + Finance FAQs
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Students in grades 9–12 who have completed AI Scholars or have prior Python experience.
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All classes are online via Zoom. Students join from anywhere.
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No. You need Python experience; the financial context is taught as part of the program.
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Yes. Financial aid is need-based and available up to 100%, and you apply for it inside the application form — tick the box and you're considered automatically.
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Students who successfully complete a high school program are eligible for 3 units of post-baccalaureate credit through University of California, San Diego Extended Studies.
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10 sessions of 2.5 hours, run over 10 weeks.
Not sure this is the right fit?
AI Scholars
The prerequisite track if you don't have Python experience yet.
Deep Dive: AI + Medicine
The same format, applied to diagnosis, medical imaging and genomics.
Compare all programs
Every track side by side — prerequisites, structure, and what you leave with.
Ready to build something real?
Applications are reviewed on a rolling basis.