Data Visualization

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 Data Visualization program at Johns Hopkins University is for post-graduate students who want to develop advanced data visualization skills. This non-degree program takes several weeks to complete and helps students create impactful visualizations.

The curriculum covers data representation, design principles, network visualization, and volume rendering. Students learn about interactivity in data exploration and graphic design principles for effective communication. They also practice creating visualizations that improve comprehension and decision-making.

After completing the program, students can pursue careers as Data Analysts, Business Intelligence Developers, Data Scientists, or Visualization Designers. They can work in industries like data science, analytics, and visualization design, and help organizations make data-driven decisions.