In the early phases of construction projects, initial client-set durations often face challenges due to evolving project dynamics. Despite extensive research on accurate planning, practical case studies indicate shortcomings in early-phase predictions, with analytical planning methods underutilized despite technological advancements. This study investigates analytical methodologies used in research for master scheduling in construction projects, aiming to identify gaps and potentials for further research. A systematic literature review of 386 relevant sources categorized methodologies into statistical analyses, extrapolations, predictive techniques, and optimization methods. While statistical analyses are prevalent, predictive methods and optimizations are less explored, indicating a need to adopt advanced analytical methods for robust master scheduling models in construction projects. Addressing comprehensible methods at an advanced analytical level is crucial for enhancing effectiveness and applicability in this context.