Malaria is one of the high priority tropical diseases in Tropical Countries. Although, there have been many efforts to eradicate malaria from the world over a long period of time, yet it remains a complex disease. Among the efforts made so far, the main intervention area has been targeting at the ecology of the Mosquito. This study is aimed at first mapping malaria hazard areas and then the malaria risk areas at Awassa and Wondongenet Woredas. For mapping malaria hazard areas five parameters were selected. The parameters include elevation, slope, distance from rivers, distance from wetlands and drainage density. The elevation, slope, and river net works were derived from SRTM satellite data and the wet land layer was extracted from land use/land cover map. These layers were combined by using weighted multi criteria evaluation. Similarly, risk map was developed depending on the malaria hazard layer, land use/land cover, distance from health stations layer and population density layer of the study area. The landuse/ landcover layer was obtained from Landsat ETM+ imagery of the year 2005. The resulting malaria hazard map depicts that 184.7Km2, 76.3 Km2, 37.4 Km2, 26.9 Km2, and 24.1 Km2 representing 48.6%, 19.9%, 9.7%, 7%, and 6.3%, of the total area is subject to very high, high, moderate, low, and very low level of malaria hazard. The remaining 32.0 Km2 (8.4%) of the total area is free from malaria. Yuwa, Aruma, Edo, Busa, Chuko, Entaye, Kela, Wetera, Shasha Kakale, Gotu Anuma, Abaye and Baja Fabrica kebeles were found to be under high malaria hazard. The risk map produced from the overlay analysis of the four parameters also showed that 122Km2(32%), 117Km2(30.7%), 60Km2(15.7%), 31Km2(8.1%) 19Km2 (5%), and 32Km2(8.4%) of the total area is subject to very high, high, moderate, low, very low and is free from malaria risk respectively. Part of Abaye, Yuwo, Aruma, Tllu, Chefe Kotegebesa, Swampy area, Shashsa Kakalo, Washa Soyama, and Gamato are subject to very high risk of malaria. In conclusion, 68% of the total area is highly exposed to malaria hazard and more than 60% is under high risk of malaria. It is also suggested that it will be cost effective and time as well as energy saving if the results of this study will be incorporated into the ongoing malaria eradication programs. Key words: GIS, Remote Sensing, MCE, malaria hazard, malaria risk