In　this　paper,　we　study　model　selection　and　model　averaging　for　quantile　regression　with　randomly　right　censored　response.　We　consider　a　semi-parametric　censored　quantile　regression　model　without　distribution　assumptions.　Under　general　conditions,　a　focused　information　criterion　and　a　frequentist　model　averaging　estimator　are　proposed,　and　theoretical　properties　of　the　proposed　methods　are　established.　The　performances　of　the　procedures　are　illustrated　by　extensive　simulations　and　the　primary　biliary　cirrhosis　data.