George Mason University
George Mason University Mason
George Mason University

Data Analytics Engineering

“The whole world is evolving to using big data for decisions. It’s a big culture shift. I was impressed with the professors in Mason Engineering. They have real-world experience in government and industry and can talk about a lot of different topics. I peppered them with questions.” ­

– Natalie Fleet, MS Data Analytics Engineering ’19

Our master's program in Data Analytics Engineering merges engineering, science, and architecture.

Photo of woman and computer

Mason Engineering's master's in data analytics engineering prepares graduates to work in a variety of fields.

Data scientists and analysts who understand the technologies and methodologies involved in data-driven decision-making are in high demand. They deploy big data solutions to the world’s toughest challenges in health care, business, finance, government, and cyber analytics.

In 2014, Mason became one of only five universities in the nation to offer a Data Analytics Engineering master's degree program in response to the high demand for data scientists and analysts. Through concentration tracks, students can focus on a specific area of interest, such as cyber analytics, or customize their own concentration with multidisciplinary courses in health care, predictive analytics, internet of things, business analytics, financial engineering, and data mining.

Many companies can’t fill their data analytics positions fast enough, so they are sending their employees back to school. Graduates often command six-figure salaries. Our multidisciplinary engineering education integrates:

  • Computer science.
  • Statistics.
  • Systems engineering.
  • Operations research.
  • Information technology.  

Evening courses allow working students to take classes that fit their schedules. Check the catalog for official degree and admission requirements.

For more information, contact program director James Baldo Jr., program advisor or Hugh Miller.

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