Self-Compacting Concrete is one of the special concretes that have ability to flow and consolidate on its own weight, completely fill the formwork even in the presence of dense reinforcement; whilst maintaining its homogeneity throughout the formwork without any requirement for vibration. Researchers all over the world are developing high performance concrete by adding various admixtures in different proportions. So it is eminent to know the exact mix design with respective to it fresh and hardened properties of concrete. Apart from conventional design for Self-Compacting Concrete, there are only very few research work carried out in proposed Nan Su method of mix design and minimal study on statistical approach for optimization and interpretation of mix design. The key aim of the study is to gain a complete knowledge on Self-compacting Concrete and sort-out the research gap to develop mix design of fixed target strength using a statistical model for future development of SCC in this field. Accordingly, the study has been classified into five basic chapters: introduction, methodology, statistical modeling (DOE), data analysis and conclusion. As phase-1 work, the mix design was done using Nan su [1] method for M50 grade concrete. Trial mix was carried out by using DOE (Design of Experiments) method as phase-2 work, which had an effective, economical and optimized mix design. In phase-2, Central Composite Design (CCD) was framed with five variables such as cement, superplasticizer (SP), water/powder ratio, fine aggregate and coarse aggregate. Rheological properties and compressive strength has been taken as responses to fix the optimum content of stated variables for further investigation. Totally 33 trial runs had been carried out and investigated. Out of which, the trial mix number - M16 gives optimum contents of variables with respective to responses. © The Indian Concrete Journal January 2018.