Mathematical Biostatistics Boot Camp 2

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 Mathematical Biostatistics Boot Camp 2 is a non-degree program for students who want to learn data analysis and statistical inference. It's taught in English and lasts several weeks. This program helps students understand fundamental concepts in biostatistics.

The curriculum focuses on one and two independent samples, covering key concepts in data analysis. Students develop skills in statistical inference and learn to apply these skills to real-world problems. The program includes hands-on components to help students practice their skills.

After completing this program, students can pursue careers as biostatisticians, data analysts, or research assistants. They can work in industries like healthcare, pharmaceuticals, or academia. Some potential employers include research institutions, hospitals, or government agencies. Students can also work as statistical consultants or data scientists.