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Design · MS elective · 3 credit hours · 16 sessions

Data Visualization & Infographics

This course focuses on the art of translating complex data into clear, compelling visual stories. Students will bridge the gap between statistics and graphic design, learning to organize information, select appropriate chart types, and use visual hierarchy to make data accessible. The curriculum covers both static infographics for print and interactive dashboards for digital media.

§ 01 By the end you can
  1. Analyze datasets to identify key trends and narratives
  2. Select the correct chart types (Bar, Line, Scatter, Sankey, Chloropleth)
  3. Apply principles of "Chart Junk" reduction and data-ink ratio (Tufte)
  4. Design effective iconography and typographic systems for data
  5. Create interactive or animated visualizations for web/mobile
§ 02 Sixteen sessions

The whole semester.

  1. 01Introduction to Data Literacy & Ethics
  2. 02The History of Dataviz (Playfair to Nightingale)
  3. 03Working with Data: Cleaning & Sorting
  4. 04Chart Selection Strategies
  5. 05Visual Hierarchy in Information Design
  6. 06Color Theory for Data (Sequential vs. Diverging)
  7. 07Typography for Information
  8. 08 · MidtermMidterm Examination
  9. 09Cartography: Map-Based Visualization
  10. 10Flow Charts & Network Diagrams
  11. 11Iconography & Isotypes
  12. 12Narrative Flow: Long-form Infographics
  13. 13Interactive Dataviz (Tableau/Web)
  14. 14Dashboard Design & UI
  15. 15Motion Graphics for Data
  16. 16Final Project: The Visual Report

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

§ 03 Final project

Final Project: The Visual Report

How it’s judged

Recommended reading
  1. The Visual Display of Quantitative Information by Edward R. Tufte
  2. Information is Beautiful by David McCandless
  3. Storytelling with Data by Cole Nussbaumer Knaflic
  4. Dear Data by Giorgia Lupi and Stefanie Posavec
  5. The Functional Art by Alberto Cairo
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