Undergraduate Option in Data Science at the UWJevin West2018-07-19T09:29:53+00:00
At the University of Washington, we think students from all domains will benefit from acquiring skills in data science. To address this need, the eScience Education Working group has brought departments together from around campus to create a template for scalable, university-wide program. The key idea behind undergraduate education at the UW is the following:
Interested departments extend their core major program with a data science specialization in the form of a “Data Science Option”. The option, or specialization, appears on the student’s transcript.
Each data science specialization covers the same set of core data science topics, detailed below.
Each department, however, chooses how best to cover the below topics in a way that makes most sense for their students. Departments also have additional, domain-specific requirements.
At the undergraduate level, a student who will earn a data science specialization must complete courses in the following areas:
Required areas with recommended courses:
Programming: e.g. CSE163 or CSE143
Machine learning: e.g. CSE416/STAT416, STAT435, INFO 371
Societal implications of data science: SOC225 “Data & Society”
Required to cover at least two areas:
Data management: e.g. CSE414 or INFO 445
Data visualization and communication: e.g. CSE412, INFO474, or HCDE411
Advanced statistics and probability: Department-specific course choices
Introduction to data science: e.g. STAT180/CSE180/INFO180
Other department specific requirements
Students interested in learning data science methods and tools who are in a department or school that currently does not offer a data science specialization are encouraged to take the above courses as electives in their existing majors.
For a full list of data science related courses at the UW, please see this page.
Departments with an undergraduate data science option are found here.
For questions about the program or if your department is interested in adding an option, please contact please contact Magdalena Balazinska or David Beck.