The goal of this option is to educate students in the foundations of data science.The “Data Science” option aims to educate the next generation of thought leaders who will apply new methods for data science.

To ensure that the meaning of the Data Science Options remains consistent across departments and schools, all units in this program agree to shape their options by following the same overall framework. In this framework, to complete the  “Data Science” option, students take at least three courses out of the following four areas:

  • Software Development for Data Science (e.g. CSE 583, ChemE 546, or department-specific)
  • Statistics and Machine Learning (e.g. CSE416/STAT416, STAT435, CSE546, STAT535, STAT509, STAT512-513, or department-specific)
  • Data Management and Data Visualization (e.g. CSE414, CSE544, CSE442, CSE412, CSE512, INFX 562, INFO474, HCDE/DATA 511, HCDE411, or department-specific)
  • Department Specific requirement as related to data science.

Additionally, to further expand students’ education and create a campus-wide community, students register for at least 2 quarters in the weekly eScience Community Seminar (CHEME 599F). Among other topics, the community seminar covers important aspects of data science such as ethics, biases, and societal implications of data science.

For questions about the program, please contact Magdalena Balazinska or David Beck.

Participating departments offering the Data Science graduate option are listed below (alphabetical order):

  • Astronomy: Data Sciences Option will be offered in the Ph.D. degree program, more information soon.
  • Chemical Engineering: Data Science Option will be available in the Masters of Science and Ph.D. degree programs, more information soon.