Matroid theory is a branch of combinatorics that generalizes the notion of linear independence from vector spaces to more abstract sets, providing a unified framework for understanding various combinatorial structures. It finds applications in optimization, graph theory, and algorithm design, offering insights into problems like network flows, greedy algorithms, and spanning trees.