According to LinkedIn's most recent Emerging Jobs Report, data science is booming. It saw a 37% growth rate in 2020, and the data scientist is one of the top three fastest growing jobs for the third straight year.
By working with experts in diverse domains, applying data science to real-world issues, and learning both the practical application of data science and the principles behind it, our students are poised to become leaders and pioneers in the field.
Our goal is to educate students in data science throughout their academic journey—from undergraduate to professional. The School of Data Science currently offers residential and online M.S. in Data Science programs, as well as interdisciplinary dual degrees, including the MSDS/MBA, MSDS/MD, and the MSDS/PhD. A Minor in Data Science is also offered for undergraduate students, as well as a suite of professional programs for working professionals.
Minor in Data Science
For undergraduate students at the University of Virginia, the Minor in Data Science prepares you for careers or postgraduate work using data skills.
M.S. in Data Science
The University of Virginia meets the growing demand for skillful, agile data scientists with the 11-month residential M.S. in Data Science.
Online M.S. in Data Science
The Online M.S. in Data Science is a flexible, part-time program spanning five-terms, allowing you to balance work and school.
The School of Data Science and University of Virginia schools and departments offer several dual degree programs, including an MSDS/MBA, MSDS/MD, and MSDS/PhD.
The Presidential Fellowships in Data Science program creates opportunities for graduate students in varying disciplines to collaborative on research projects that apply data science to a wide domain of issues that have societal impact.
Professional Programs (Non-Degree)
The School of Data Science provides numerous executive education opportunities to industry leaders and professionals in a broad range of fields. Our options include credit and noncredit, customizable content, flexible formats and varied learning environments.