Abstract
In this paper the performance of academic departments of a selected private institution is assessed for the academic year 2014-2015 using DEA-based dual CCR model. At the first stage, we use academic staff and non-academic staff as the input variables and total enrolled students, total pass students, students placed for jobs and research index as output variable. At the second stage, sensitivity analysis is used to assess the super efficiency and the ranking of the academic departments. The new slack model is also applied to measure the impact of slacks on evaluated efficiencies. The results suggest that four academic departments are technically efficient with average efficiency score 0.899 and the remaining three are inefficient and operating on increasing returns to scale. The super efficiency scores are also suggests the outliers.
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