Computational Modeling & 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, a rich suite of quantitative skills for tackling today's massive data-based problems are taught.
Major
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.
The most common option — with restricted electives, you can specialize in computer science, math, or statistics, or develop breadth across these disciplines.
Build a foundation in biology, then specialize in topics such as cell cycle modeling, population ecology, or infectious disease spread.
Apply data skills in the modern security environment, equipped with an advanced sequence in cryptography and additional courses in computer science.
With a background in micro and macroeconomics and econometrics, apply data science for crafting public policy, banking or finance.
Apply data and modeling to learn how the planet works, then specialize in applications of CMDA to climate change or energy.
Combine CMDA with a deep dive into physics, to learn from the voluminous data produced by modern physics experiments.
Things to note:
- Flexible options for different areas of focus
- Median starting salary for CMDA majors in the Class of 2024 was $76,000
Career paths
- analytics for sports teams or internet/social media companies
- consulting in defense/space/homeland security
- modeling in the oil/gas/alternative energy sector
- data analysis for medical/pharmaceutical firms
- quantitative modeling in finance/insurance
Learn More
Visit the Division of CMDA
Visit Virtually
Schedule a virtual tour with the College of Science Undergraduate Recruiter