The problem of H_∞ norm and variance-constrained design is to find controllers such that the closed-loop transfer function has an H_∞ norm less than a specified scalar such that the root-mean-squared values of individual states are less than specified constants. In this paper, dynamic output feedback controllers are used to develop a technique for achieving both H_∞ norm constraint and variance constraints for linear stochastic discrete systems.