Severe Acute Respiratory Syndrome coronavirus 2 which is widely known as Sars-Cov-2 is a deadly virus that is the main cause of Coronavirus Disease (COVID-19). This plague affects the human immune system badly and adversely affects the human body. This disease emerged from Wuhan, China, and spread all over the world in a very short period. The World Health Organization (WHO) has warned the world about its dire consequences and directed all the countries to take strict precautionary measures and still, there are lots of things that need to be done. This study focuses on the in silico methods which use immunoinformatic approaches to build epitope-based subunit vaccine for SARS-COV-2 that is used to produce several positive immune responses within the host cell. Various B-cells, Tc cells, and Th cells containing different epitopes are considered for the inhibition of spike of SARS-COV-2. By following different approaches, eventually, the structure of the proposed vaccine consists of Tc, Th cells, and B-cells joined by different linkers was designed. Currently having B-cell as well as IFN-y made epitopes confirm the humoral and cell-mediated immune response developed by the proposed vaccine. An online server, PSIPRED is used to develop the model of vaccine. 15 antigenic epitopes were chosen from Spike protein to develop an effective vaccine. This vaccine was antiviral, non?allergic, and less toxic. The sequence of vaccine structure was then validated by different computational methods like Molecular Docking, RMSD, RMSF, and Molecular Dynamic Simulation. Java Codon adaption tool also known as JCat is used for maximal optimization of vaccine expression with vector.<br>