Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

Digital Technology Credential

“Our top priority is to make sure our students leave Mason prepared to thrive in the workforce. No matter your major or career path, technology is necessary in every field, and everyone will need some level of skill and expertise here.”

George Mason University President Ángel Cabrera

Digital technology is remaking industries, our economy and how people work. It is integrated into everything we do. As most jobs now require some level of digital technology proficiency, students who graduate with skills in areas such as data analysis, data visualization, and security are more competitive in the job market than ever.​

The Digital Technology Credential is designed for students in any major looking to acquire the digital technology skills that employers in the metropolitan areas of Baltimore, Washington, D.C., and Richmond need. Developed with the Greater Washington Partnership, the credential equips students across disciplines with the entry-level digital technology skills that employers need most. Student can earn the credential by enrolling in the Data Analysis Minor in the Department of Statistics at the Volgenau School of Engineering.

Whether you plan to work in human relations, finance, or other roles, these valuable skills will help you advance your career and enhance your marketability.

Exclusive Advantages

Eleven businesses with sites across the region will provide the following incentives for students who complete the credential:

Engage with businesses

  • Job shadowing
  • Mentoring and coaching by employees
  • Senior leader-hosted reception

Acquire real-world experience

  • Priority for internships

Get an advantage in the hiring process

  • Guaranteed resume review for open positions
  • Interview priority
George Mason University Digital Technology Credential Courses
Introduction to Statistics I (STAT 250, 3 credits)
Introduction to Statistics II (STAT 350, 3 credits)
Scientific Information and Data Visualization (CDS 301) or Introduction to Exploratory Data Analysis (STAT 463) (3 credits)
Introduction to Cyber Security Engineering (CYSE 101) (3 credits)
Quantitative Elective from Data Analysis Minor (3 credits)

For more information contact statistics@gmu.edu.

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