This book is intended for self‎-study or as a companion of lectures delivered to post‎-graduate students on the subject of the computational prediction of complex turbulent flows‎.‎ There are several books in the extensive literature on turbulence that deal‎,‎ in statistical terms‎,‎ with the phenomenon itself‎,‎ as well its many manifestations in the context of fluid dynamics‎.‎ Statistical Turbulence Modelling for Fluid Dynamics — Demystified differs from these and focuses on the physical interpretation of a broad range of mathematical models used to represent the time‎-averaged effects of turbulence in computational prediction schemes for fluid flow and related transport processes in engineering and the natural environment‎.‎ It dispenses with complex mathematical manipulations and instead gives physical and phenomenological explanations‎.‎ This approach allows students to gain a ‎'‎feel‎'‎ for the physical fabric represented by the mathematical structure that describes the effects of turbulence and the models embedded in most of the software currently used in practical fluid‎-flow predictions‎,‎ thus counteracting the ill‎-informed black‎-box approach to turbulence modelling‎.‎ This is done by taking readers through the physical arguments underpinning exact concepts‎,‎ the rationale of approximations of processes that cannot be retained in their exact form‎,‎ and essential calibration steps to which the resulting models are subjected by reference to theoretically established behaviour of‎,‎ and experimental data for‎,‎ key canonical flows‎.‎