Abstract: In this study, researchers present a hybridisation of Tabu-based technique and Non-Linear Great Deluge algorithm applied on course timetabling problems. This approach uses a short term memory in Tabu-based technique in order to improve the searching process. The Tabu list exercised is in the ranges of two to eight in length. The experiment results demonstrate that this hybrid approach is capable to produce competitive results when compared with others in the literature.