Computational Modeling & Data Analytics
LEARNING FROM DATA
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Computational Modeling & Data Analytics
Computational Modeling and Data Analytics
The Computational Modeling and Data Analytics (CMDA) program draws on expertise from three primary departments at Virginia Tech with strengths in quantitative science: Mathematics, Statistics, and Computer Science. By combining elements of these disciplines in innovative, integrated courses that emphasize techniques at the forefront of applied computation, we teach a rich suite of quantitative skills for tackling today's massive data-based problems.
Data visualization class held in the Athenaeum classroom in Newman Library.
What can you do with a CMDA degree?
The CMDA requirements give students the flexibility to dive deeply into a particular area through choice of electives, a disciplinary track, or a minor or double major. Ultimately, our program is for anyone who seeks to better understand the world through data and computation.
Career Opportunities
- Environment / energy / sustainability
- Management consulting / government contracting
- Healthcare
- Banking / financial services / insurance
- Medical / biomedical / pharmaceutical
- Sports analytics
- National security / defense / space / crypto
- Design and manufacturing
- Big tech / cloud computing
- Media and marketing
- Public policy
Featured CMDA Alumna
Amy Wikiera
Class of 2021
Data Analyst, Blackstone
New York, NY
Amy Wikiera graduated from the CMDA program in Spring 2021.
Three students stand around a poster listing the external partners for the 2021-2022 CMDA Capstone Project Program. Photo by Julia Kell for Virginia Tech.
Want to work with us?
Become a Capstone sponsor.
Work with our undergraduate students to solve complex problems using data. Learn more about our Capstone program and other corporate partnership opportunities.
Our Mission
CMDA educates principled data scientists who use their strong foundation in applied math, statistics, and scientific computing to solve problems of consequence that drive impact across society.