Social Computing

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 Social Computing program is a non-degree course offered by Johns Hopkins University, designed for post-graduate students interested in social computing. The program lasts several weeks and covers key topics such as social network analysis, chatbot development, and AI performance optimization.

The curriculum includes hands-on courses where students learn to analyze social networks using R programming, create chatbots with AWS, and enhance AI models using crowdsourced data and machine learning techniques. Students will gain practical experience applying advanced tools and methodologies in social media analytics, conversational interfaces, and human-AI collaboration.

After completing this program, students can pursue careers in social computing, artificial intelligence, and data-driven innovation. Possible job titles include Social Media Analyst, Chatbot Developer, AI Engineer, Data Scientist, or Human-Computer Interaction Specialist. These professionals work in various industries, including technology, marketing, and research.