This paper aims to assess the performance of Egyptian universities with data reported to 2010/2011. This study applied the Data Envelopment Analysis (DEA) methodology. DEA based on non-parametric mathematical models. It evaluates the performance of each observation with a multidimensional perspective. The study used a data of 12 universities for which were obtained the scores of technical and scale efficiency. The technical efficiency scores indicated the benchmark universities, demonstrating the potential of DEA. For purposes of analysis, this research used DEA with Charnes, Cooper and Rhodes (CCR) or Constant Returns to Scale (CRS) and Banker, Charnes, Cooper (BCC) or Variable Returns to Scale (VRS) for both Input-Oriented model and Output-Oriented model. The results of CRS model suggested that; five universities are technically efficient, while the results of VRS showed that ten universities are pure technically efficient and of these ten, only five are scale efficient which indicates that these universities are operating at their ideal scale of operations. The overall inefficiency for two universities in the CCR is caused by inefficient operations rather than the scale inefficiency, while for five universities is attributed to disadvantageous conditions.