Doctor of Philosophy in Information Science - Data Science

Through coursework and practica, Ph.D. candidates develop a strong foundation in information science, learning to identify critical problems and rigorously researching their solutions. Students become well versed in the scope, origins, methods, issues and theoretical framework that define the iSchool's uniquely interdisciplinary approach to the study of information. Ph.D. students at the iSchool come from a variety of professional experiences and academic backgrounds, such as information science, social sciences, computer science, library services, law, and information technology. Advances in data management, machine learning and artificial intelligence are reshaping the economy, science, politics and social life. Data-driven decision-making in business, science, government and civil society motivates research in new techniques and technologies as well as broader areas of data reasoning, data curation, data governance, security and privacy, social networks, data ethics, data cultures, and visualization. At the iSchool, we examine the data pipeline holistically, emphasizing methods, tools and practices for responsible data science.

In the Report Prior Schools section of the MyGrad application, list all schools (colleges, universities and institutions) where you have earned collegiate-level credit. In the Submit Transcripts section of the application, upload a transcript for each school listed. Each transcript should be complete, legible and include the following: name of the institution, name of the student, dates of attendance, courses taken, grades/marks/credits earned and be organized by term (quarters, semesters or trimesters). Bachelor's degree* or higher in any discipline (must be equivalent to a baccalaureate degree from a regionally accredited U.S. institution). TOEFL iBT: 80, IELTS: 6.5.