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Academic Programs

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Computational Modeling & Data Analytics (CMDA)

Undergraduate Program
The CMDA program draws on expertise from three primary departments at Virginia Tech with strengths in quantitative science: MathematicsStatistics, and Computer Science. By combining elements of these disciplines in innovative, integrated courses that emphasize techniques at the forefront of applied computation, the CMDA program teaches a rich suite of quantitative skills for tackling today's massive data-based problems. 

Data Analysis & Applied Statistics (DAAS)

Graduate Program
The DAAS master of arts degree is offered in a part-time program based at the Northern Virginia Center. The program is geared towards individuals who are already employed full-time and are seeking a data science master’s credential to bolster their careers. The curriculum offers students a strong foundation in statistics so that they begin to extract meaningful insights from and harness the potential of large data sets.

An additional master's degree -- the Master's of Science in Applied Data Science -- is currently under development. The degree, which could be available as early as 2023, will be designed to provide students the skills they need to gather knowledge or insights from large quantities of complex data for use in a broad range of applications.