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.
Computational Modeling and Data Analytics
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.
Cryptography & Cybersecurity
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.
- 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