Correlations are important to estimate engineering properties of soils particularly for project where there is a financial limitation, lack of test equipment or limited time. Although correlations are commonly used in the preliminary stage of any project, it is reasonable to assign a unique strength to soils for their respective physical properties. In this thesis, attempts have been made to obtain valid correlations between unconfined compressive strength with Atterberg limit and grain size distribution of clayey soils. An investigation is made on the clayey soils found in Eastern part of Bahir Dar city locally named Diaspora. This paper presents SPSS prediction models which relate Atterberg limits and grain size distributions with unconfined compression strength .Twenty five test pit points were selected and the Representative disturbed and undisturbed soil samples were collected from open pits by direct excavation. Grain size analysis shows the soil is silty clay and according to USCS classification the soil sample falls in CH (Inorganic clay), MH (Inorganic silt) and in AASHTO they are in a region A-7-5 and A-7-6 (clayey). Their UCS result is from 142 to 240 kPa which indicates stiff to very stiff consistency, also they are inactive clays as the activity ratio indicates. Comparison between the results of the developed models and the experimental data indications were within a confidence interval of 95%. To evaluate the effect of each parameters verification of the model was performed and discussed. According to the performed analysis, Liqudity index and liquid limits were the most important variables in predicting the unconfined compressive strength. It is estimated by UCS=−3.83∗LL−136𝐿𝐼+410.19 with coefficient of determination (R2) of 95% for clayey soils of diaspora, Bahir Dar soils. It is recommended to carry out this correlation with a large size of data so that it will represent Bahir Dar city and its also recommended to carry out this prediction model for cites other than Bahir Dar.