This systematic literature review synthesises and critically analyses the burgeoning body of research applying computational methods to the study of conflict and peace in South Sudan. It examines how data science, machine learning, natural language processing, and spatial analysis are being leveraged to model conflict dynamics, predict violence, monitor peace agreements, and evaluate humanitarian interventions. The review identifies predominant methodological trends, key data sources, and significant empirical findings, while also highlighting critical gaps in the literature, such as the underutilisation of local language data and limited integration of qualitative insights. The findings underscore the transformative potential of computational tools for evidence-based peacebuilding while cautioning against technological solutionism without contextual depth.