Digital Technology Generalist Certificate

Combine traditional studies with real world application

Employers across all industries—from government and healthcare to the arts and energy—hire workers who can couple their diverse educational backgrounds with the top technology skills needed to succeed in today’s increasingly digital economy. The Capital Region - from Baltimore to Richmond - is one of the nation’s leading hubs for digital technology employment and is expected to add more than 130,000 digital tech job opportunities over the next five years.

Together with George Washington University and the region's top business leaders, Capital CoLAB designed the Digital Technology Generalist Certificate to integrate digital tech skills into the university's academic curriculum with real world application. By taking a selection of five classes in conjunction with their major, GW students of all majors can gain sought-after introductory technology capabilities that support their field of study and receive a generalist certificate from GW through the Capital CoLAB’s Digital Technology Credential program.

About the Digital Technology Generalist Certificate

  • The generalist certificate enables GW undergraduate students in non-technical majors to gain essential introductory training through courses at the university in data reporting and communication, data security, and statistics - essential to nearly every position operating in a digital environment.
  • Upon completion of the generalist certificate, participants will receive an official certificate from GW and a digital badge from Capital CoLAB that will go on their GW transcript, and will be shareable on social professional sites such as LinkedIn, as well as available to display on a resume. Hiring managers and recruiters will recognize this badge as a differentiator in hiring.
  • Digital Technology Generalist Certificate students are targeted for recruitment by Capital CoLAB companies and provided access to exclusive professional development opportunities.
  • The certificate is offered at no additional tuition cost.
  • Students may register at any time for the program.
  • Eligible courses that have been previously completed can be counted towards the certificate.

Review the sections below for more information on required and eligible elective courses as well as learning outcomes and objectives. Questions? Feel free to contact the Capital CoLAB team at [email protected]

More info/Sign up here

The Digital Technology Generalist Certificate provides GW undergraduate students in non-technical majors, with general technical skills, knowledge, and abilities needed for job roles that require a basic understanding of data analysis and visualization, and data security. The learning objectives, designed by the Capital CoLAB (Collaborative of Leaders in Academic and Business), provide students with the skills and experience needed to support the workforce needs of the 21st-century economy. In addition, the 19 companies involved in Capital CoLAB will provide selected students with opportunities for paid internships, mentorship, and insights into the job market.

The 15-credit certificate requires students to take entry level courses in statistics, data, manipulation, data visualization, ethics, and cybersecurity. Students who complete the certificate will receive a digital badge from Capital CoLab that can be displayed on their resume; is shareable on social professional job sites such as LinkedIn; and will be noted on their transcript.

The learning outcomes provide students with the basic skills and experience needed to support the workforce needs of the 21st-century economy. Upon completion of the Digital Technology Generalist Certificate, a GW student will be able to:

  • Explain how data can be used to reduce uncertainty and risk related to decisions and decision-making in business and everyday life
  • Explain the concepts of descriptive and inferential statistics, linear regression, and least squares criterion for the purpose of knowing the conditions under which each should be used to analyze data
  • Perform basic data manipulation and exploration using appropriate tools and software for the purpose of managing large amounts of information
  • Create effective static and interactive data visualizations or narratives that employ analytics and visualization software and strategies
  • Analyze the generation, recording, curation, processing, sharing, and use of data through the lens of ethical and personal privacy issues
  • Apply information assurance principles and organizational requirements to assure the confidentiality, integrity, and availability of data

 

To be eligible for the Digital Technology Generalist certification, the student is required to complete a number of credits in courses that have been identified and available for review in the GW Bulletin.  

Note: All courses must be taken at GW.

(Review individual school sections on the main page for suggested course tracks for students in particular schools)

Review these courses in the GW Bulletin

For students in the Columbian College of Arts & Sciences, Elliott School of International Affairs, and the Milken Institute School of Public Health to be eligible for the Digital Technology Generalist certification, the student is required to complete 15 credits in the following courses, all of which must be taken at GW.

Choose one course from each of the five areas:

Data Ethics: Choose one from the following
CSCI 4532. Information Policy
DATS 2101W. Ethical Life in a Digital World

Data Security: Choose one from the following
ISTM 4206. Foundations of Information Systems Security and Ethics
CPS 2100. Introduction to Cyber and Data Security

Data Visualization: Choose one from the following
MAE 1117. Introduction to Engineering Computations
DATS 2102. Data Visualization for Data Science

Programming: Choose one from the following
CSCI 1012. Introduction to Programming with Python
ISTM 3119. Computer Programming

Statistics: Choose one from the following
STAT 1051. Introduction to Business and Economics Statistics
STAT 1053. Introduction to Statistics in Social Science
STAT 1111. Business and Economic Statistics

Review these courses in the GW Bulletin

For students in the School of Business to be eligible for the Digital Technology Generalist certification, the student is required to complete 15 credits in the following courses, all of which must be taken at GW.

Choose one course from each of the five areas:

Data Ethics - choose one from the following:
DATS 2101W. Ethical Life in the Digital World (new course)
CSCI 4532. Information Policy

Data Security - choose one from the following:
ISTM 4206. Foundations of Information Systems Security and Ethics
CPS 2100. Introduction to Cyber and Data Security

Data Visualizaton - choose one from the following:
MAE 1117. Introduction to Engineering Computations
DATS 2102. Data Visualization for Data Science (same as PSC 2102); prereq: DATS 1001 and STAT 1051 or STAT 1053 or STAT 1127)

Programming - choose one from the following:
ISTM 3119. Computer Programming
CSCI 1012. Introduction to Programming with Python

Statistics - choose one from the following:
DNSC 1001. Business Analytics I: Statistics for Descriptive and Predictive Analytics
STAT 1051. Introduction to Business and Economics Statistics
STAT 1053. Introduction to Statistics in Social Science
STAT 1111. Business and Economic Statistics

Review these courses in the GW Bulletin

For students in the School of Engineering & Applied Science to be eligible for the Digital Technology Generalist certification, the student is required to complete 15 credits in the following courses, all of which must be taken at GW.

Choose one course from each of the five areas:

Data Ethics: Choose one from the following
CSCI 4532. Information Policy
DATS 2101W. Ethical Life in a Digital World

Data Security: Choose one from the following
CPS 2100. Introduction to Cyber and Data Security
ISTM 4206. Foundations of Information Systems Security and Ethics

Data Visualization: Choose one from the following
MAE 1117. Introduction to Engineering Computations
DATS 2102. Data Visualization for Data Science

Programming: Choose one from the following
CSCI 1012. Introduction to Programming with Python
ISTM 3119. Computer Programming

Statistics: Choose one from the following
STAT 1051. Introduction to Business and Economics Statistics
STAT 1053. Introduction to Statistics in Social Science
STAT 1111. Business and Economic Statistics
DNSC 1001. Business Analytics I: Statistics for Descriptive and Predictive Analytics

Review these courses in the GW Bulletin