The well-dispersed CuO doped poly(methyl methacrylate) (CuO–PMMA) nanocomposites (NCs) with a successful loading of SWCNT as carbon nanofillers with different percentages (2%, 5%, and 10%) were fabricated effectively via the ex-situ polymerization technique. XRD, SEM–EDX, SEM-Map, TEM, AFM, Raman, and FTIR were carried out to confirm the formation of CuO–PMMA NCs, as well as the formation of CuO–PMMA–SWCNT NCs on the surface of CuO–PMMA sheet nanocomposite. The morphology of both CuO nanoparticles and SWCNT on the PMMA sheet, as well as agglomeration, concentration, roughness profiles, and size distribution, were considered during the experiments. BET surface area was carried out to determine the effect of various percentages of SWCNT loading on CuO–PMMA NC on the BET surface area. Furthermore, thermogravimetric analysis was conducted to evaluate the thermal behavior. Interestingly, the thermal stability of the NCs was inferred to significantly enhance with a proper amount of SWCNTs. EDX and elemental mapping of Cu, C, and O confirmed the presence of SWCNTs and CuO on the PMMA polymer matrix. In this approach, various loadings of SWCNT were performed into the CuO–PMMA–SWCNT NCs for the selective detection of metal ions using the electrochemical method. It exhibited the best performance in the detection of particular Mn2+ cation to 2% of SWCNT loading into NCs. The Mn2+ cationic sensor analytical response was investigated by CuO–PMMA–SWCNT (2%) NCs with glassy carbon electrode (GCE) coated uniform thin film using conductive nafion (5% nafion) binder. The sensor showed linear electrochemical responses over the concentration range of 0.1 nM to 0.01 mM identified through the calibration curve, which is known as the linear dynamic range. The sensor analytical performance sensitivity (88.16 µA µM−1 cm−2) and detection limit (92.67 ± 4.63 pM) were calculated from the slope of the calibration curve. The proposed Mn2+ ion sensor based on CuO–PMMA–SWCNT (2%) NCs/binder/GCE was found satisfactory in terms of reproducibility, linear dynamic range detection limit, sensitivity, stability, and response time. In real environmental samples, it also showed substantial performances during detection. This methodology can be inferred safely as a unique approach to develop metal ion sensors using inorganic-carbon NCs on GCE.