We aim to develop a short course titled “Data Science and Digital Health Technologies to Prevent Interpersonal Violence During and After Pregnancy.” This program will train early-career researchers in specialized techniques, such as big data analytics and digital health technologies, to improve measurement and prediction of interpersonal violence (IPV) and develop digital tools designed with safety and usability principles in mind to support individuals affected by IPV during and after pregnancy. The course addresses current limitations in research and intervention strategies related to IPV, such as small samples that may not reflect the target population, due to challenges in data collection (e.g., stigma). The resultant insufficient statistical power limits the ability to examine complex mechanisms underlying health and behavioral outcomes among individuals affected by IPV. Additionally, existing interventions and services lack scalability because most are reactive rather than proactive, offered in person, and limited in reach—reducing their availability to individuals who may benefit from them most. Ethical use of data science and digital health technologies will serve as innovative research tools to extend outreach and inform proactive safety strategies for individuals affected by IPV during the perinatal period. Our specific aims are (i) training researchers in big data analytics to work with complex, multi-source datasets containing variables related to IPV, pregnancy, and environmental and individual risk factors; (ii) teaching them the best practices to develop, deploy, and disseminate digital tools (e.g., mobile app and game) aligned with user-centered safety considerations; (iii) guiding them in ethically navigating data privacy, security, and responsible research practices in the IPV context. This 6-month education program will welcome trainees from multiple academic and professional backgrounds across the U.S. for hybrid online learning (combination of asynchronous and synchronous) and intensive, hands-on curriculum to maximize the effectiveness of the training, wide reach to target groups, and readily disseminate the course. Year 2 will repeat the Year 1 curriculum with refinements based on trainee feedback. The program will also feature collaborative workgroups where trainees will generate research ideas and apply the knowledge and skills obtained from the course for manuscripts or grants, as well as networking opportunities for mentorship and collaboration. Training will be held at the Emory University School of Nursing, leveraging its rich institutional and human resources, including the current T32 program focusing on women’s health and data science. By bringing together training, research, and networking, we will create a long-lasting community of scholars who can engage in data-driven interdisciplinary research for years to come to prevent IPV-associated maternal health studies.