Given the resources and proper environment, an isogenic S. cerevisiae population has the potential to propagate indefinitely. However, the individual yeast cells within a colony are not immortal and rejuvenation through budding is required for the continual production of youthful progeny. The rejuvenation process in yeast budding has been shown to be a victim of aging too, resulting in several known disparities between early and late daughter cells from the same mother cell. The transcriptomic signatures of sets of individual yeast daughter, or progeny, cells from throughout the entire lifespans of yeast mother, or progenitor, cells would reveal the changes that result from the age-induced breakdown of yeast budding rejuvenation and provide a meaningful measurement of biological aging. Using such data, it would be possible to construct a yeast single-cell transcriptomic aging landscape defining cellular biological age in an unbiased manner for yeast daughter cells. Further coupling the daughter series transcriptomes with those of yeast mother-daughter pairs would allow for the extension of the daughter cell aging landscape to a general yeast aging landscape which would detail the biological age of a yeast cell given its transcriptome. Currently, methods to capture single-cell yeast lineage data are lacking and need to be developed. As my thesis project, I developed and analyzed methods for plate-based single-cell and a bulk single-cell sequencing methods for budding yeast to be used for the establishment of a transcriptomic definition of cellular biological age at single-cell resolution which will further improve the utility of yeast as a eukaryotic cellular aging model organism.