Data Science Education @ UW – A University-Wide Approach

 

 

 

 

 

 

 

 

 

 

Our society’s ability to generate data is growing at an unprecedented scale and rate. Advances in scientific instruments, the growing availability and sophistication of environmental sensors, the explosion of social media and web content, the growth in mobile devices and web applications that drive them, and access to increasingly powerful and inexpensive compute and storage resources are driving a growing number of disciplines to become data rich. Data analysis is at the heart of many scientific advances and industrial innovations and data science has emerged as a new discipline that college graduates must master.

At the University of Washington, we are deeply committed to ensuring the success of all our graduates and we consider data science to be a critical component of student education whatever major they choose to pursue. We have identified a core set of skills that form the heart of data science education but also recognize that data science education needs vary across disciplines.

Our vision has lead us to adopt an approach to data science education that takes the form of specializations within existing majors. These specializations are called “options” and are transcriptable in the sense that the “Data Science” specialization is listed on student transcripts. At UW, we expect students to pick their discipline of interest and, in the context of that discipline, acquire all necessary skills and knowledge to both utilize data science methods and contribute to the state-of-the-art in data science.

While not all majors on campus offer data science specializations today, the number of such disciplines is growing quickly.

Additionally, at the University of Washington, we offer data science specializations at both the undergraduate and graduate levels in addition to also offering a separate data science master’s degree.

Inter-Disciplinary Data Science Specializations To develop data science specialization in a flexible yet coordinated fashion, faculty from different departments, colleges, and schools on campus worked together under the umbrella of the eScience Education Working Group. The developed programs are such that new departments can easily join and offer data science specializations within their majors.See below for the undergraduate and graduate specialization details.

How to Join The process for new departments to join the program and offer the data science specializations below at the graduate and undergraduate levels is straightforward. Interested departments should contact Magdalena Balazinska or David Beck.

Undergraduate

The eScience Institute has formed a working group on data science education, comprised of representatives from a large variety of departments, schools, and colleges. This working group has created a template that describes what the University of Washington sees as the core of data science education at the undergraduate level. Several departments have already created undergraduate options in Data Science, following that template.

Learn more about undergraduate programs

Graduate

Departments offer two complementary data science specializations following a common template:

Data Science Option – targets students who seek to learn data science methods and how to use data science tools

Advanced Data Science Option – targets students who seek to develop new data science methods and tools

LEARN MORE ABOUT GRADUATE PROGRAMS

Masters

University of Washington’s new Master of Science in Data Science gives current and aspiring data science professionals the technical skills needed to extract insights from large, noisy and heterogeneous datasets – and the practical skills to make analytics easy to understand and use.

Learn More about Masters Programs

Masters

University of Washington’s new Master of Science in Data Science gives current and aspiring data science professionals the technical skills needed to extract insights from large, noisy and heterogeneous datasets – and the practical skills to make analytics easy to understand and use.

LEARN MORE ABOUT THE MASTERS PROGRAM

Tutorials and Bootcamps

We offer ongoing tutorials, bootcamps, hackathons, and other short education events. We’re also a regional partner with Software Carpentry, a non-profit volunteer organization whose members teach researchers basic software skills.

Learn More about Tutorials and Bootcamps

Tutorials and Bootcamps

We offer ongoing tutorials, bootcamps, hackathons, and other short education events. We’re also a regional partner with Software Carpentry, a non-profit volunteer organization whose members teach researchers basic software skills.

Learn More about Tutorials and Bootcamps

MOOCs

Massive Open Online Courses (MOOC) are large scale, participatory online courses. In partnership with Coursera, the eScience Institute has developed several MOOCs focused on data science and engineering related courses. Introduce yourself to the basics of data science, learn more about high performance scientific computing, and leave armed with practical experience extracting value from big data.

Learn more about eScience MOOCs

Professional Certificate

The UW Professional & Continuing Education program is now offering a Certificate in Data Science. The program is relevant to database administrators, developers, software engineers, data analysts, and researchers who are working with or want to work with big data.

Learn More about Professional Certificates

Professional Certificate

The UW Professional & Continuing Education program is now offering a Certificate in Data Science. The program is relevant to database administrators, developers, software engineers, data analysts, and researchers who are working with or want to work with big data.

Learn More about Professional Certificates