M.S. in Data Science Class of 2024 Arrive for Residential Program
The University of Virginia School of Data Science welcomed 63 new students to the M.S. in Data Science (MSDS) residential program for the Class of 2024. The program kicked off with orientation day at Alumni Hall where they were welcomed by Philip Bourne, Stephenson Dean, and the student support team led by Associate Dean of Student Affairs Dahlia Hylton.
This new cohort represents the School's commitment that diversity drives innovation and creativity in the classroom and beyond. The MSDS Class of 2024 hails from a wide range of academic backgrounds and life experiences which reflects the interdisciplinary and collaborative nature of data science as a discipline.
MSDS Class of 2024 Highlights:
Class size: 63
Average Age*: 24
Female-Identifying*: 46%
First-Generation*: 9%
LGBTQ+*: 14%
Military/Veteran*: 5%
International: 9%
Number of Countries Represented: 5
Number of U.S. States and Territories Represented: 11
GPA Range: 2.7 – 4.0
Number of Undergraduate Institutions: 27
Number of Undergraduate Majors: 32
Received Need-Based Fellowship: 32%
Professional Work Experience*: 26%
* Demographic data is based on voluntary responses.
The M.S. in Data Science residential program admits one class per year, compared to the part-time online program which admits twice per year. The School seeks students who are motivated and passionate about collaboratively solving the world’s challenges using data science. Applicants must be able to show their intellectual curiosity around data science to a broad range of compelling contexts and be ready to engage with a rigorous STEM curriculum. The School recognizes the value of diverse perspectives and strive to build and contribute to our inclusive community and therefore applies a holistic admissions review process.
"Our holistic review process means that we carefully, thoroughly, and thoughtfully consider each application," said Kristen Greer, Associate Director of Admission. "We have intentionally designed an application meant to highlight an applicant’s experiences, goals, and potential."
For more information about the M.S. in Data Science program, connect with a member of the admissions team to learn more.