Artificial Intelligence in Social Media Analytics

Johns Hopkins University in Baltimore, founded in 1876, is a leading research university with a global reputation for excellence across medicine, public health, engineering, the arts and sciences. The university enrolls around 32,049 students, including approximately 5,233 international scholars, and offers an extensive portfolio of programs—about 238—across undergraduate, graduate and professional levels.

Johns Hopkins emphasizes research-led education, interdisciplinary collaboration and hands-on learning through labs, clinics and community partnerships. International students can access comprehensive support services for admissions, visas, academic advising and career development, and can participate in research opportunities, internships and global exchange programs that enhance professional prospects and real-world experience.

Baltimore’s urban setting provides access to vibrant cultural life, medical centers and industry partners, making it well suited for students interested in translational research and public service. The university’s strong alumni network, career services and industry links help graduates move into competitive roles worldwide, while campus resources support wellbeing, student activities and a diverse international community.

The Artificial Intelligence in Social Media Analytics course is a non-degree program at Johns Hopkins University, taught in English. It runs for several weeks and is designed for students who want to learn about AI and social media analytics.

This course teaches machine learning fundamentals, natural language processing, sentiment analysis, and topic modeling. Students gain practical experience by constructing classifiers, performing sentiment analysis, and building semantic networks using real-world social media data.

Graduates can pursue careers as Social Media Analysts, AI Consultants, Data Scientists, Marketing Specialists, or Business Intelligence Developers. They can work in industries like marketing, finance, or technology, and can be employed by companies like Facebook, Microsoft, or Deloitte.