Education Curriculum
Our comprehensive program equips students with the analytical skills and practical knowledge to excel in value investing and algorithmic trading. Through rigorous coursework and hands-on experience, students develop the expertise needed for careers in quantitative finance.
Education Tracks
Value Investing
The fundamental component of the curriculum helps students gain a comprehensive understanding of value investing theory and strategies. Students develop expertise in accounting principles, competitive analysis, and sophisticated valuation methodologies.
Advanced modeling techniques, including operating models and discounted cash flow analysis, are explored alongside investment theory and portfolio construction principles that drive institutional decision-making.
Upon completion, students possess the analytical frameworks to accurately value complex business models and identify mispriced securities across global markets.
Algorithmic Trading
The quantitative curriculum provides comprehensive training in systematic trading strategy development. Students master statistical analysis, machine learning applications, and advanced Python programming for financial markets.
Advanced topics include modern portfolio theory, factor modeling, and risk management systems. Students learn to construct systematic strategies that optimize risk-adjusted returns through quantitative analysis.
Graduates possess the technical expertise to design, backtest, and implement institutional-grade algorithmic trading systems using cutting-edge quantitative methodologies.