Digital Technology Credential

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.​

Woman looking at a chart on computer screen

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.

Students who earn the digital technology credential will also qualify to earn the minor in Data Analysis 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.

Engage with businesses

  • Acquire exclusive access to a student portal with paid internship and event opportunities
  • Obtain invitation to participate in annual internship fairs with employers looking to recruit CoLAB students
  • Access professional development webinars and other ad-hoc opportunities
  • Earn a digital badge upon completion of required courses to identify yourself as having the skills these employers are looking for in their workforce

Connect with these companies

Amazon

Booz Allen Hamilton

Capital One

CIA (remove)

Deloitte

Exelon

EY

General Dynamics (GDIT)

Inova

JPMorgan Chase

McKinsey & Company

MedStar Health

Monumental Sports and Entertainment

Northrop Grumman

Stanley Black & Decker

T. Rowe Price

Under Armour

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 Questions about the Digital Technology Credential 

bhunte11@gmu.edu