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Minor, AI and Media: Curriculum

The AI and Media minor equips students with essential skills and also encourages them to think critically about the broader social impact of AI in media. With AI transforming the media landscape, our new minor empowers students to critically engage with these technological developments while maintaining a robust ethical foundation. This minor is aligned with Northwestern Qatar’s mission to advance academic excellence and contribute to a well-informed and innovative media environment in Qatar and beyond. Our students will be equipped to navigate the complex realities of AI in media with both intellectual rigor and ethical responsibility.

AI and Media Minor Learning Outcomes

At the completion of AI and Media Minor at NU-Q, students will be able to

  • Conduct scientific data analyses and demonstrate humanistic understanding of the intersection of AI and Media 
  • Apply AI technologies and data science skills to communication research, media criticism, media analytics, media design/production, and journalism 
  • Make informed and ethical decisions and critique a wide spectrum of global issues (educational, philosophical, social, psychological, cultural, geo-political, economic, environmental, etc.) surrounding the use of AI and data science in the media and creative industries 

AI and Media Minor Requirements

  • Course Requirement: Total of 6 elective courses  
  • 300-Level Course Requirement: Minimum 3 courses at 300-level  
  • Grade Requirement: Each of these courses must be passed with a grade of C or higher. No work passed with a grade of P may be used to fulfill a minor requirement.  
  • Cross-Registration/Transfer Limit: Students may take maximum 2 elective courses outside of NU-Q (upon the final approval of the AI & Media minor committee) 
  • Senior Portfolio/Capstone Project Requirement: E-portfolio, research article, and/or presentation upon the completion of 6 courses during the final semester in their senior year before graduation 

Elective Courses at NU-Q 

  • MIT 298 Metaverse: AI-VR-Convergence  
  • MIT 298 GenAI & NLP in Media Innovation  
  • MIT 298 Intro to Social Computing 
  • MIT 298 Big Data & Media Analytics  
  • MIT 376 AI Tools for Digital Media Design  
  • MIT 398 AI & Machine Learning  
  • MIT 398 Artificial Neural Networks & Deep Learning  
  • MIT 398 AI, Deepfake, & Disinformation   
  • MIT 398 Digital Media Environment 
  • MIT 398 Data Science & Text Analytics 
  • MIT 398 AI & Cyberpolitics 
  • INTERDIS 202 Digital Media Ethics  
  • INTERDIS 208 Introduction to Python and AI
  • INTERDIS 311 Datafication and Society 
  • JOUR 329 Data Journalism  
  • JOUR 335 Automated Journalism  
  • JOUR 336 Interactive Storytelling
  • STRATCOM 311 Applied Research methods 
  • STRATCOM 313 Innovation in Strategic Communication 
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