The Hawkes process is a simple point process with wide applications in finance, social networks, criminology, seismology, and many other fields. The Hawkes process is defined for continuous time setting. However, data is often recorded in a discrete-time scheme. In this paper, we study a discrete-time marked Hawkes process, which is appealing for applications. In particular, we study large deviations for the model.