This paper explores the integration of technology and learning to enhance workplace safety in the BITS WILP program (WILP Lectures, reference documents, assignments and examples of MBA Business Analytics.) titled “Role of Technology for Injury Prevention in Manufacturing Sector” it focuses on key courses like advanced statistical methods, data science foundations, and predictive analytics. Through a blend of theoretical and practical learning, the program prepares students for a future where technology plays a vital role in achieving “zero harm” and ensuring a secure workplace environment. The paper delves into the pivotal role of technology in fostering workplace safety within the BITS WILP program. It highlights specific courses that equip students with the necessary skills, such as advanced statistical methods and predictive analytics, emphasizing their importance in creating a zero harm culture (Yang et al. in J Occup Health Saf). Additionally, the program's multifaceted approach, including quantitative methods and strategic management, is underscored to prepare students for the evolving landscape of safety management. In conclusion, this paper strongly advocates for the widespread adoption of technology-driven safety measures in workplaces. It emphasizes that practitioners and policymakers should prioritize the integration of advanced statistical methods, data science foundations, and predictive analytics into safety management systems. This integration is crucial for effective hazard identification and risk analysis practices. By leveraging various platforms of data analytics, organizations can proactively manage residual risks, thereby enhancing their ability to achieve “zero harm” goals and cultivate a secure workplace environment. The paper underscores that continuous learning and adaptation are key to staying ahead in safety management and ensuring long-term success in risk mitigation.