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Media Analytics: Research and Practice


Course Description

Course focuses on applied research methods, tailored for a cross-platform and cross-source audience in big data. The aim is to enable students to comprehend and manage research tasks effectively, extract actionable insights, and form data-driven strategies.


Athena Title

Media Analytics Research Pract


Equivalent Courses

Not open to students with credit in JRMC 8080E


Pre or Corequisite

ADPR 5750/7750 or ADPR 5750E/7750E


Semester Course Offered

Offered spring


Grading System

A - F (Traditional)


Student learning Outcomes

  • Students will be able to collect and analyze cross platform social media data.
  • Students will be prepared to design and execute different types of research projects that are common to media industries.
  • Students will understand key challenges of big data and AI-based research.
  • Students will understand the common research methods and approaches used by major media research companies.
  • Students will understand contemporary issues in media analytics.
  • Students will be prepared to analyze data using common data analysis and visualization programs.
  • Students will be prepared to generate professional data analytics reports.
  • Students will understand the role of industry research in media organizations.

Topical Outline

  • 1. A review of audiences and consumer types and the corresponding data sources
  • 2. Strengths and weaknesses of big data research
  • 3. Computational advertising and message personalization
  • 4. Contemporary Issues in media analytics
  • 5. Advertising at the age of TV streaming
  • 6. Influencer marketing
  • 7. SWOT analysis
  • 8. Social media data-driven research and analysis
  • 9. Website data-driven research and analysis
  • 10. Subscribers’ data-driven research and analysis
  • 11. Data analytics and visualization training