Visualizing neural activity can uncover new information on how the brain encodes function. In the past, fluorescence-based neural imaging has been the standard, but it results in phototoxicity and photobleaching, making it challenging to perform long term behavioral studies. In the case of deep brain imaging, autofluorescence and excitation light scattering reduce imaging contrast, restricting the depth limit of epifluorescence imaging to 3 mean free paths (MFPs). Techniques like confocal and 2-photon imaging have been developed to improve contrast, but require large, expensive optical hardware to implement. Bioluminescence relies on a chemical pathway for signal generation, avoiding many of the problems associated with the use of excitation light. Bioluminescence also does not need any extra hardware to implement, making it a viable option for in vivo experiments. However, the depth limit of bioluminescence in scattering tissue has yet to be characterized. This study aims to determine at what depth bioluminescent sources can be detected within the brain. We employed a Monte Carlo simulation to study the depth limit of bioluminescence because simulations allow easy tuning of parameters (source emission rate and source density) that affect the detection of bioluminescent sources. Simulation results were then corroborated with an experimental bioluminescence analog. From the study, the depth limit of bioluminescence ranges from 5-10 MFPs, translating to 350 microns deep within neural tissue. An analysis of the feasibility of the emission rates used in this study is also provided, showing that bioluminescence can be a valuable tool for in vivo imaging.