Under　the　guidance　of　＇ensuring　that　children　do　not　drop　out　of　school　due　to　poverty　China　has　established　a　broad　and　universal　subsidy　system　for　poverty-stricken　students　in　colleges　and　universities,　which　has　achieved　phased　results.　However,　during　the　implementation,　there　are　still　some　bad　phenomena　such　as　＇fake　poverty-stricken　students　This　paper　will　focus　on　the　application　of　big　data　technology　to　solve　the　above　problems　through　technical　means.　It　also　studies　the　optimization　of　the　system　from　three　aspects:　logical　structure　design,　physical　structure　design　and　flow　chart　design　of　the　big　data　service　platform　for　poverty-stricken　college　students.　©　2020　IEEE.