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Our fast-growing department uniquely focuses on the “science of data” and the exploration of evolving analytical techniques.  

The Department of Computational and Data Sciences, as a global leader, is one of only a few departments that offers degrees at all levels (bachelors, masters, and two PhDs).

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Multidisciplinary academic programs

CDS faculty collectively represent diverse educational backgrounds including economics, geography/geoinformation systems, materials science, computer science, foreign policy, and physics.

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Data scientists in demand

Global business continues to evolve rapidly, and its new currencies are data and knowledge. Corporate, medical, and military industries rely heavily on data scientists who can accurately analyze and predict phenomena based on data.

Data analysis

NFL Combine Data Explorer Project by Computational Sciences

As a final project for CDS professor Michael Eagle’s class - CSI 703: Scientific and Statistical Visualization, Carson Bulgin and William Wautlet (MS students) created a data visualization tool that compares college football players for the NFL draft. Their project, explained in more detail in this video, allows users to examine relevant statistics between players and presents the data in a clean, well-organized interface through a series of radar charts, histograms, and parallel coordinates charts.

Visit Us On Campus

Come learn more about the computational and data sciences program. 

  • CDS Department Main Offices

    227 Research Hall, Fairfax Campus

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Research Hall at George Mason University's Fairfax campus

CDS News & Events

Upcoming Events

More Events

Mason Now: Power the Possible Faculty and Staff Reception

Sep 28, 2023/4:00 - 6:00 PM

Merten Hall Lawn, Fairfax Campus

Register to attend. The Mason community is celebrating the launch of the biggest, boldest campaign in the university’s history. Join us for an afternoon of food, fun, and giveaways as we get ready to make a difference—together. If you are joining us from another campus, parking will be available in

Does Learning Lead to Endogenous Business Cycles? - CDS Colloquium

Sep 29, 2023/3:00 - 4:00 PM

Center on Social Complexity, 3rd floor, Research Hall, Fairfax Campus and Virtual via Zoom

Speaker: Nathan Palmer, Federal Reserve Board (speaking via Zoom) Title: Does Learning Lead to Endogenous Business Cycles? (Work in progress) Abstract: We use a reinforcement learning (RL) algorithm to solve the household problem in a standard Ramsey growth model. We show that the exploration-exploitation decision in RL changes the convergence

American Society for Intercellular Communication (ASIC)

Oct 12, 2023/12:00 PM - Oct 14, 2023/12:00 PM

Bolger Center, Potomac, Maryland

The meeting is organized by a group of investigators seeking to create a platform for informal exchange of ideas on emerging questions and cutting-edge developments in the field of Extracellular Vesicles (EVs), Extracellular Particles (EPs), and particulate carriers of extracellular RNA (exRNA) as biological mediators, regulators and diagnostic analytes. Our