The certificate trains students to make decisions that are not only technically efficient, economically sound, environmentally aware, but also socially, ethically, and politically informed. In addition, the certificate equips students with essential foundational skills that arise from actively engaging in data science combined with an understanding of cities as systems. In doing so, the certificate promotes the educational mission of Virginia Tech to offer its students an innovative, interdisciplinary learning environment in which they can take leadership roles in data sciences for the cities of tomorrow. The certificate seeks to meet the increasing workforce demand for analytical skills and literacy.
Course Requirements
Students will be required to complete coursework to develop knowledge and skills related to data analytics and public policy for cities and urbanized places. Students will gain an understanding of the fundamental competencies needed for data collection, cleaning, management, and analysis as well as manage teams that conduct analyses related to cities.
September 2025
Virginia Tech
925 Prices Fork Road,
BLACKSBURG,
Virginia,
24061, United States
September 2025
National Capital Region - Leesburg Campus
17690 Old Waterford Road,
BLACKSBURG,
Virginia,
24061, United States
Admission to the Graduate School is contingent upon receipt of a four-year (or 3 year degree recognized by the Bologna process) bachelor's degree from a regionally accredited college or university and the presentation of evidence of potential to pursue graduate work.
English language Scores:
A minimum TOEFL score of 550 on the paper-based test (PBT) or 90 on the internet-based test (iBT) is required for consideration of the application. On the iBT, sub-scores of at least 20 on each subtest (Listening, Speaking, Reading, and Writing) are required for admission. A minimum IELTS score of 6.5 is required for admission.
Application Deadlines: Fall: April 1; Spring: September 1.
*There may be different IELTS requirements depending on your chosen course.
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