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2022-23 ADS Discovery Fund Call for Proposals

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Welcome to the Academy of Data Science!

Enabling world class research and education via the application of data science.

The Academy of Data Science will promote the application of data science methods to help solve scientific problems and it will foster the development of data science methods in support of science.  It will do so by teaching, supporting, promoting, and applying data science methods and tools throughout the College of Science and Virginia Tech.  The Academy will serve as the interdisciplinary hub for data science collaboration and research for faculty, and it will promote the infusion of data science into the college’s curricula.

What’s behind the scenes? A whole lot of data.

Tom Woteki
Founding Director, Academy of Data Science

Affiliated Programs

Computational Modeling & Data Analytics (CMDA)

Undergraduate Program
A bachelor of science degree with a collaboration of Computer Science, Mathematics, and Statistics.

Data & Decisions Minor

Undergraduate Program
This curriculum introduces students to the basic skills for acquiring and analyzing data toward effective decision making.

Data Analysis & Applied Statistics (DAAS)

Graduate Program
A master of arts degree aimed primarily at people already employed fulltime and are seeking a data science master’s credential to bolster their career. 

Master of Science in Data Science

Graduate program-coming soon!

The College of Science is developing a Master's of Science of Data Science that 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. Our goal is to have this degree available as early as 2023.

Center for Biostatistics and Health Data Science

Advancing One Health Research through data science.
Work with us through the life cycle of your project, from study aims and design to interpretation of results and dissemination.

SAIG: Statistical Applications and Innovations Group

Helping non-statisticians transform data into insight.
Work with us to design experiments, analyze and plot data, run statistical software, and interpret results.

data science in: