Background: The spread of cancer disease has been a problem and burden on the global health systems what led the decision makers and researchers to encourage further investigations research on related issues. In Sudan, research there is still a need to work on advanced applications such as Bayesian models or relative risk estimations based on Bayesian methods. Materials & Methods: This paper investigates the spatial impact on the incidence of cancer in Sudan using Bayesian and Frequentist methods. The standardized incidence ratios have been calculated for each state, and INLA with BYM have been used in the investigation. Disease mapping is useful to determine which areas are with high-risk rates what can be conducted under the Latent Gaussian Model. R-INLA package has been used as tool of modeling. Data collected by National Cancer Registry through a number of 45413 cancer patients were recorded throughout Sudan, among all cases registered, Breast cancer count was5892Cases, and Prostate was 2315. Females were 24,439, 54% among the whole cases while males 20,974, 46%. For all cancer cases including gender specific cancers, females appeared to have the highest number of incidences compared to males. Results: Results from this study-in two parts-revealed that, the standardized incidence rates indicate the wide spread of the cancers under study in Northern state and River Nile state; the spatial Bayesian analysis using INLA indicates results similar to standardized incidence rate. In conclusion, the Northern and River Nile were the most affected states in Sudan with breast and prostate cancers requiring further studies in identifying what factors causes the problem. The general trend of the study indicated widespread breast and prostate cancer in Northern state and River Nile state.