Malaria remains a leading cause of morbidity and mortality in sub-Saharan Africa (sSA). While many interventions have been put in place to address this burden of disease, recent reports suggest that progress has stalled due to several factors including reduced funding and decreased efficacy of well-established interventions [2-4]. This has led to the need to look beyond traditional approaches to malaria control by harnessing recent advancements in sequencing and genotyping technologies that offer comprehensive genomic data. Uptake of genomics information by most National Malaria Control Programs (NMCPs) has been very slow due to lack of capacity to generate, analyze and utilize the genomics data in policy and decision making. In addition, there is limited communication between the African Scientists conducting genomics studies on the continent and the NMCPs in their countries. To further contribute to significantly  reduce malaria mortality and morbidity we intend to i) Increase the understanding and knowledge of scientific concepts of malaria molecular surveillance in sSA NMCPs and ii) Increase the uptake of genetic data & indicators  by NMCPs & MoHs (integrated with epidemiological data) to make informed decisions and policies for malaria elimination. The following will be clear indications that the above goals are being achieved i) evidence of NMCPs plans on collecting biological samples for genetic data generation in their 5-year plans; ii) measurable increased knowledge and capacity within NMCPs to access, interpret and utilize genomics data to inform programmatic activities and policies; iii) increased engagement of NMCP and other stakeholders in planning and implementation of molecular surveillance. A number of carefully crafted metrics will be devised to measure our progress including counting the number of NMCP staff trained per country and per year in concepts of malaria molecular surveillance (MMS), the number of workshops delivered across the consortium, the number of NMCPs reporting molecular malaria indicators on a yearly basis.