Data science accelerates discovery across nearly all areas of science, engineering, and social science. Students and faculty in this area create new data-analysis techniques and harness advanced computing and storage systems to solve problems in biology, the environment, materials science, communications, security, transportation, and many other areas.
Princeton has been at the forefront of computing since Alan Turing, Alonzo Church, and John von Neumann were among its residents. The department, now in a period of major growth, has strong groups in artificial intelligence and machine learning, theory, programming languages, graphics and vision, systems and networking, computer architecture, computational biology and neuroscience, security, privacy, and information technology policy.
The Center for Information Technology Policy uses Princeton’s unique strengths to promote an informed public discussion of digital technologies. Combining faculty expertise in technology and engineering, public policy, and the social sciences with a strong University tradition of service, the Center’s research, teaching, and public programs address digital technologies as they interact with policy, markets, and society. The center is a joint initiative of the School of Engineering and Applied Science and the Woodrow Wilson School of Public and International Affairs.