Copper mines, as one of the important strategic mineral resources, are highly valued by the country. The Yulong porphyry copper (molybdenum) metallogenic belt in Tibet is the largest Cenozoic porphyry copper belt in China. The establishment and application of prospecting model has played an important role in major prospecting breakthroughs at home and abroad. The prospecting and prediction method of the model for spatial structures of regional geochemical multi- element anomalies (RAGSS model) has been widely used in the prospecting and prediction evaluation. The 1∶200000 and 1∶250000 regional geochemical surveys in China have played a great role in mineral exploration, and obtained a large amount of geochemical data. The analyses of big data is an important and effective way to realize new prospecting breakthrough by using new ideas and technologies to re- mine and redevelop these regional geochemical survey data and carry out regional prospecting prediction and evaluation. In this paper, based on the theory and method of RAGSS model, and the RAGSS models of the Yulong metallogenic belt and known ore fields, the ore- prospecting prediction research of this belt and its peripheral areas has been carried out. Seven metallogenic belts and 19 metallogenic prediction areas with Cu (Mo) and polymetallic ore prospects are identified. It is concluded that the Yulong Cu metallogenic belt and its peripheral areas have great ore prospecting potential.