This paper developed a methodology for the selection, sitting and pre-dimensioning of Sustainable Urban Drainage Systems (SUDS). A GIS-based methodology, that requires vector and raster data (i.e. orthophoto, Digital Elevation Model, water table depth, infiltration rate) to delineate watersheds and identify suitable sites for implementing SUDS, was further refined by involving local stakeholder knowledge. Daily rainfall precipitation historical data was used for pre-dimensioning. A lexicographic multi-objective optimisation model was implemented to maximise and/or minimise a set of objective functions: (i) maximisation of the use of runoff water for irrigation purposes, (ii) maximisation of the use of SUDS storage capacity, (iii) minimisation of construction and maintenance costs and, (iv) minimisation of runoff volumes. The methodology was applied to the Universidad de los Andes campus and the obtained results showed that potable water consumption for irrigation purposes can be reduced up to 77% by implementing a total area of 0.15 ha of SUDS. The optimal solution for a subset of feasible sites resulted in 6 SUDS sites using storm water tree pits and permeable pavements.