Doctor of Philosophy in Computer Science - Computer Systems

The University of Rochester's Computer Science Department is a prestigious institution known for its academic excellence, cutting-edge research, and commitment to preparing students for successful careers in computer science. It fosters innovation, interdisciplinary collaboration, and industry connections, making it a top choice for those pursuing studies in this dynamic field. The department offers both a BA and a BS in computer science through their elite undergraduate program. They also grant an MS and PhD in computer science through their intensive graduate program.
Computer science is the science of computing. Computing is the process of transforming information. It is what computers do. Computer science is the discovery and study of the principles of computing and their application to the development of computing systems.
Computer science plays a pervasive and pivotal role in our lives today. Research by the URCS faculty has impact on both the infrastructure and the applications of computing, ranging across system efficiency and security, computational social choice and algorithmic game theory, mining and predicting social and health outcomes, and natural language and video understanding. The research is often interdisciplinary, leading to collaborations across several departments and centers within the university.
PhD students in good academic standing pay zero tuition, receive one of the highest stipends in computer science as ranked by CSStipendRankings, and are provided health insurance by the university. Students receive an MS degree in their second year. Most students complete their PhD in 4 to 6 years.
Our PhD program aims to cultivate the next generation of world-class computer science researchers. Our mission is to enable you to achieve your career dreams.
Computer systems research at URCS spans a range of topics, including program analysis and compiler technology, parallel, distributed, and mobile computing, cluster-based server technology, low-power hardware and software, processor and memory architecture, concurrency and synchronization, programming environments, and programming language design.