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, a rich suite of quantitative skills for tackling today's massive data-based problems are taught.
Options:
Highlights:
Curriculum integrates mathematics, statistics, and computing to solve real-world data-driven problems
Flexibility with six degree options: Standard, Biological Sciences, Cryptography and Cybersecurity, Economics, Geosciences, and Physics.
Senior Year Capstone Project: Students combine technical problem solving with teamwork, communication, project management, and ethics to solve real-world, industry-driven problems and prepare students for successful careers
Financial support through specific CMDA scholarships, and undergraduate research grants to support student success
Wide-Ranging Career Fields in areas such as Data Science, AI and Machine Learning, Software Engineering, Sports Analytics, Quantitative Finance, Consulting, Graduate Education
Supportive community made up of a dedicated advising team, engaged faculty mentors, student organizations, data competitions, hackathons, Data Science Connections Career Fair, and collaborative workspaces.