Geospatial related, free and open-source software has been contributing dominantly for sustainable land management. MOLUSCE refers to, Modules for Land Use Change Simulations which is a user-friendly plugin for free and opensource software QGIS. The main aim of this study is to analyze land cover in past 3 decades and predict possible future landcover scenario, using MOLUSCE. The considered study area (Banepa and Dhulikhel ) was one of the regions, which are facing rapid urbanization. Freely available Land Sat imageries of different time scene as per necessity, were acquired for image classification (Agriculture, Forest, Builtup, and Barren) whereas driving factors for land cover prediction were prepared based upon MOLUSCE protocol and data availability. Prediction was done by selecting appropriate parameters by hit and trial method successively. The result obtained from this study demonstrate increase of builtup land and barren land whereas gradual decrease of forest and agricultural land. Besides, study also predicts, agriculture and forest land are expected to be decreased whereas the built-up land might be increased. It also illustrated that, uses of MOLUSCE plugin can be used to analyze the land cover change and predict possible future land cover scenarios with a desirable accuracy which can support in proper planning and policy formulation.