This document discusses curriculum analytics, which is the use of data to understand and enhance the curriculum. It provides examples of how curriculum analytics can be used, such as identifying modules that result in better learning, understanding how curriculum sequencing affects performance, and informing real-time teaching adjustments. Potential users are identified as lecturers, course directors, learning technologists, and senior management. Next steps proposed include a curriculum data gathering pilot to define useful metrics and analyze use cases. The document advocates developing curriculum objects that describe curriculum aspects and associated analytics to enhance learning.