This is a completely free, self-paced course that individuals can start at a time of their choice.

The course covers various topics in finance, such as capital structure, risk management, derivatives, interest rate models, equilibrium models, and dynamic portfolio choice.

The course aims to provide learners with tools for evaluating, quantifying hedging, and speculating on risk. The course covers financial accounting, mathematical methods for quantitative finance, and foundational modern finance. Completing these courses gives learners a sophisticated understanding of modern finance fundamentals and their applications in business decisions.

The mathematical methods course covers topics like probability, time series analysis, continuous-time finance, linear algebra, and optimization. The course emphasizes hands-on learning, requiring learners to solve problems, use algorithms, and engage in practical applications.

The course encourages active participation, with examples from real-world events. The course content delves into probability, time series analysis, continuous-time finance, linear algebra, and optimization. It acknowledges the limitations of models and explores topics beyond traditional textbooks, fostering a comprehensive understanding of financial dynamics.The course prerequisites include basic knowledge of probability, statistics, multivariable calculus, linear algebra, and some familiarity with computing.

The course is a comprehensive program providing learners with a rigorous foundation in modern finance. The course emphasizes practical application, real-world examples, and active engagement, preparing learners for roles in quantitative finance.