The path to deep scientific discoveries is changing rapidly. Most disciplines, from physical to life sciences, have entered an era, where discovery is now no longer limited by the collection and processing of data, but by the management, analysis, and visualization of this information. From studying the building blocks of life, to understanding the nature of our universe, transformative breakthroughs are increasingly dependent on our ability to interrogate complex data streams from instruments distributed on a global scale.
To be successful, the next generation of scientists needs to be deep in both their own field as well as computer science and statistics. Similarly, the next generation of computer scientists and statisticians needs to understand deeply the real needs of domain scientists. Students can no longer develop tools and models in isolation, because the resulting “hammers” fail to meet the growing needs of the data-enabled sciences.
To address these challenges and to educate the next generation of scientists, the University of Washington offers PhD programs specialized in Big Data and Data Science in various departments as well as an integrative program that crosses department boundaries.
Integrative Graduate Education and Research Traineeship (IGERT) in Big Data and Data Science
Participating Departments and Department-Specific Programs
IGERT Program Pre-requisites (visit this page to learn about possible background courses in preparation for the main IGERT courses).