Background, Motivation and Objective Ultrasound computed tomography (UCT) allows reconstruction of quantitative tissue characteristics and is commonly used for breast cancer localization. In this application, a typical arrangement is one where the breast is enclosed by a circular array of ultrasound elements, sequentially transmitting and receiving the scattered wave fields at all elements. Lowering the acquisition time would be beneficial; however, this is limited by the time of flight and the number of transmission events. Moreover, corruption of the measurements by noise may cause inverse scattering reconstruction methods such as the Born Iterative Method (BIM) to converge to a wrong solution. Beamforming using multiple elements to obtain a narrow beam has the potential to mitigate the effects of noise; however, spatial coverage per transmission event reduces in this case. To excite the full domain, more transmissions are required and hence acquisition time increases even further. In this study, we propose a Compressed Sensing (CS) solution with beamforming for narrow beam inverse scattering UCT.