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Data Visualization

Engaging the Challenge, Together. Information for returning to campus.

Data Visualization (Graduate Certificate)

Harness the full power of data+design to make facts and figures speak volumes.

Data Visualization is more than pie charts and pretty colors. Our Data Visualization Graduate Certificate program teaches you to understand the latest methods in data analysis and visual design to become a successful data storyteller with the ability to convey complex insights persuasively.

Data in its raw form rarely portrays information in a clear, compelling and insightful way. Students in our program learn to apply concepts from computer science, statistics, psychology, ethics, and visual design to develop meaningful visualizations for diverse audiences. 

Program Overview

Upon completion of our Data Visualization Graduate Certificate, you will understand the right data analysis and visualization techniques, and applications, for each situation. Areas of skills development include:

Research and Analysis:

  • Research design
  • Data collection
  • Data analysis
  • Ethical use of data
  • Communication

Data Visualization Skills:

  • Dashboards
  • Interactive visualizations
  • Accessible design
  • Visual thinking


  • Excel
  • Tableau
  • R-programming
The Faculty director of Data Visualization and Associate Professor of Psychology is Dr. Wendy Kallina. Contact Dr. Kallina at:

Program Plan

In the Data Visualization Graduate Certificate program, we offer you the flexibility to tailor your education to your unique interests and career goals with electives from other Agnes Scott graduate programs, including Technology Leadership and Management, Data Analysis and Communication, Evaluation and Assessment Methods, Social Innovation, and Writing and Digital Communication. 

Class Schedule

Each class meets once per week for 2 hours, 30 minutes:

  • Monday through Thursday at 6:30 - 9:15pm, or
  • Saturday at 9:00 - 11:00 am or 1:00 - 3:45 pm


6 courses (18 credit hours)

  • 4 core courses
  • 2 electives

Core Courses

DVS-600 Principles of Data Visualization
DVS-640 Advanced Visualization Design
EAM-630 Data Analysis
WDC-630 Visual Thinking and Web Design


DVS-615 Visualizing Time and Place
DVS-625 Interactive Visualizations
DVS-695 Topics in Data Visualization
APT-615 Ethical use of Technology and Data
APT-695 Topics in Applied Technology
EAM-610 Principles of Evaluation Design
EAM-620 Data Collection
EAM-640 Project Management
EAM-695 Topics in Evaluation and Assessment Methods