Big O notation is a mathematical notation used in computer science to describe the performance or complexity of an algorithm. It represents the worst-case scenario for how the runtime or space requirements of an algorithm grow as the input size increases. Big O notation is used to analyze and compare different algorithms to determine which one is more efficient for a given problem. It is an essential tool for understanding the scalability and efficiency of algorithms in computer science.