The objective of this study is to develop a QRA model in order to assess the ship collision risk including the frequencies and consequences of ship collisions. To achieve this objective, it is required to estimate the frequency and consequence of all possible accident scenarios. A collision frequency estimation model is first proposed to evaluate the frequency of a ship being involved in collisions. To reflect various accident scenarios triggered by a collision, an event tree comprising five possible intermediate events related to the collision is then built. Based on the event tree, the occurrence frequency of a particular accident scenario and its consequence can be evaluated. A case study is finally created using the real-time ship movement data from the Lloyd’s Marine Intelligence Unit’s (Lloyd’s MIU) automatic identification system (AIS).