In this article, we study the optimal control of a partially observed Markov chain for which a mean squared cost functional is minimised. Both the terminal cost and the running cost are considered. Minimum principles are established. In both cases, if the optimal control is Markov feedback, more explicit forms for the stochastic integrands and adjoint processes are obtained.