This paper describes a methodology for conceptual design and sizing of an Unmanned Aerial Vehicle (UAV) to be used by scientists for snow cover evaluation and other scientific studies in lower Himalayas in India. The problem is posed in a multi-criteria optimization framework with wing span (representing size) and stall speed (representing performance) as the two conflicting objective functions. Eleven design variables are considered, which relate to the wing geometry and setting angle, flap size, propeller radius, fuel mass, air brake drag-coefficient, aircraft length and take-off mass. In addition, an engine selection parameter is used to select one among three existing engines suitable for this class of UAVs. Inequality constraints are imposed on take-off and landing distance, propeller tip Mach No. and stall speed. Two equality constraints on fuel mass required and total mass computed are also imposed for design balance. It was seen that in most cases, the optimum configuration has the lowest wing aspect ratio, highest wing t/c ratio, smallest aircraft length and highest flap area fraction. Low aspect ratio and high t/c for the wing result in lower wing weight; their adverse effect on drag coefficient and hence mission fuel weight is not significant since the mission is of short duration. Smaller aircraft length results in lighter tail-booms, and larger flap results in better field performance, which were found to be the dominant constraints.