Natural Science

A comprehensive, 3-pillar curriculum that builds durable understanding of artificial intelligence and machine learning — from the mathematical foundations and classical algorithms, through modern deep learning architectures, to the societal implications of deploying AI in the real world. Emphasizes timeless principles over transient tools so knowledge remains valuable as the field evolves.

A career-spanning roadmap from analytics-curious to mid-level Growth Engineer. The trunk gives you the complete throughline — measurement, experimentation, instrumentation, AARRR systems, monetization, GTM motions, and growth leadership — and clusters let you go deep on specific topics (Bayesian A/B testing, identity resolution, paid attribution, lifecycle email, dark patterns) when they matter.

A practical track that takes you from zero to shipping working software. The trunk gives you the throughline — how to think in code, write a program, and put it in front of users — and clusters dive deep into thinking tactics, Python craft, engineering for change, real-world shipping, and working alongside AI assistants without letting them put garbage in your codebase.

Legal literacy — how law actually works. The trunk gives you the operating system: where law comes from, how courts and precedent work, contracts, torts, property, criminal vs civil, and constitutional structure. Clusters dive into reading cases, contract mechanics, IP, your rights with police, and the startup legal toolkit.

A working understanding of calculus — the mathematics of change and accumulation. The trunk gives you the throughline from limits and derivatives through the Fundamental Theorem to the borderlands where calculus hands off to analysis. Clusters dive into rigorous limits, integration techniques, multivariable and vector calculus, differential equations, series, and complex analysis.

A working understanding of cybersecurity — how attackers operate, how defenders push back, and the moving parts of every modern security program. The trunk gives you the throughline from threat model to defense to response; clusters dive into cryptography, network defense, web application security, secure coding, penetration testing, incident response, cloud security, and governance.