We live in a data driven world, with the total volume of global data projected to be 181 zettabytes by 2025. New ways of measuring and analyzing data in the field of global development are opening the door to a better understanding of global challenges and data-driven innovations have significant economic and societal potential. For example in the healthcare sector, the use of new devices and analytics can improve diagnosis and triage of disease, improve health system efficiency, and reduce costs. However, there have also been many instances of sensing technologies and algorithms that perpetuate or enhance inequalities rather than reducing them. Through the use of lectures, case studies, readings, and guest speakers working at the health-water-climate nexus of global challenges, students will learn about innovations in sensing, and data analytics that are helping to advance the UN Sustainable Development Goals. They will learn to analyze and assess historical data and data that is currently being collected in the global development and engineering space and will critically examine examples of biases and flaws with the ways we develop sensors/measurements and train algorithms. Students will have a practical opportunity to develop entrepreneurship skills through proposing and researching a sensing or data analytics innovation for tackling global challenges, developing a business case for this innovation, and pitching their solution to their peers.