Mastering Software Development in R

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 Mastering Software Development in R program is a non-degree course taught in English at Johns Hopkins University. This program is ideal for data analysts, data scientists, and statisticians who want to develop software development skills in R. The program duration is several weeks and is available online.

The curriculum covers R software development, including data manipulation, data visualization, and graphics. Students will learn to use essential R libraries like tidyverse and ggplot2, and develop skills in building R packages and custom data visualizations. The program focuses on modern software development practices, including building reusable and modular tools.

After completing this program, students can pursue careers as Data Scientists, Software Developers, Data Analysts, Business Intelligence Developers, or Quantitative Analysts. They can work in various industries, including finance, healthcare, or technology, and can be employed by organizations such as Google, Microsoft, or IBM.