Important advances have been made in theoretical and econometric research in the relationship between CO2 and urbanisation. However, scanty attention has been focussed on the role and importance of science and technology as one of the major factors reducing CO2 emissions. For example, to our knowledge, Cameroon has never been chosen as a case study. Therefore, the statistical and econometric analyses undertaken in this paper aims at filling this gap. We begin our analysis by employing statistical tools and econometric tests such as unit root tests, Cointegration tests, Error Correction tests and the Granger short and long run causality tests. Our results related to the causal relationship between CO2, urbanization and science and technology indicate that while there is a bidirectional causality between the latter variables in the long run, there is no causality between the studied variables in the short run.