Air pollution releases various pollutants which can cause harmful diseases in humans. Accurately monitoring the atmosphere for air pollution is crucial to identify sources, measure concentration of pollutants and analyse the impact of these pollutants on the environment. While there are various solutions including satellites, ground-based monitoring and crowdsourcing data, airships can provide reliable first-party data for a small, localised region. This paper details how to find the optimum shape of an elliptical airship that can carry various sensors and electronic components to analyse atmospheric pollution. First, the payload mass was calculated to be 0.608 kg which was then used to determine the volume of the airship as 0.647 m3. Next, various 2D ellipses with different semi-major and semi-minor axis were tested using computational fluid dynamics (CFD). From these, 5 ellipses with the lowest Cd were selected. Using the volume calculated above, a third dimension was added to these 5 shapes. Then, CFD simulations were conducted on these five 3D shapes to find the optimal ratio of semi-minor to semi-major axis. This was found to be 1:6 and had a Cd of 0.02765.