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Media & Strategy · MS elective · 3 credit hours · 16 sessions

AI in Marketing & Design

This course explores the transformative impact of Artificial Intelligence on marketing strategies and design execution. Students will learn how to leverage data-driven insights to create hyper-personalized design assets, automate content scaling, and optimize user engagement. The course combines marketing theory with practical hands-on experience using AI tools for social media, branding, and customer experience design.

§ 01 By the end you can
  1. Analyze the role of AI in modern marketing segmentation and targeting
  2. Create dynamic, personalized ad creatives using generative design tools
  3. Utilize AI analytics to predict design trends and consumer preference
  4. Automate content creation for social media and email marketing campaigns
  5. Develop data-driven marketing strategies that integrate visual design and AI efficiency
§ 02 Sixteen sessions

The whole semester.

  1. 01AI in the Marketing Mix (4Ps)
  2. 02Consumer Data & Predictive Analytics
  3. 03Automated Content Generation (Copy & Visuals)
  4. 04SEO & AI: Optimization Strategies
  5. 05Visual Branding & Logo Generation
  6. 06Social Media Automation & Scheduling
  7. 07Influencer Marketing & AI Avatars
  8. 08 · MidtermMidterm Examination
  9. 09Hyper-Personalization Strategies
  10. 10Dynamic Creative Optimization (DCO)
  11. 11AI Chatbots & Customer Experience Design
  12. 12A/B Testing with AI Tools
  13. 13Programmatic Advertising & Design
  14. 14Future Trends: VR/AR in Marketing
  15. 15Capstone Campaign Development
  16. 16Final Campaign Presentation & Critique

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

Recommended reading
  1. Marketing 5.0: Technology for Humanity by Philip Kotler
  2. The AI Marketing Canvas by Raj Venkatesan and Jim Lecinski
  3. Artificial Intelligence for Marketing by Jim Sterne
  4. Prediction Machines: The Simple Economics of AI by Agrawal, Gans, and Goldfarb
  5. Data-Driven Design and Engineering by Remko van der Lugt
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