PhD in Biostatistics

Tulane University, located in New Orleans, United States, is a historic institution that offers international students a unique blend of academic excellence and community engagement. You will find advantages in its strong programs, interdisciplinary collaboration, and commitment to public service. With 14669 students, including 1335 international students, you will be part of a diverse community. Founded in 1834, Tulane has a long history of providing a transformative educational experience.

Tulane specializes in many fields, including liberal arts, business, sciences, law, architecture, and healthcare, with 180 programs available. Specifically, you can explore programs in these disciplines, which are taught by distinguished faculty who are leaders in their fields. You will have opportunities to conduct research and engage in service-learning initiatives, which are a key part of the university's civic-minded approach.

As a student at Tulane, you will be based in New Orleans, a city known for its unique culture and history. You will have access to many activities and facilities, including those that allow you to engage with the local community. The city benefits from a rich cultural scene, with many opportunities for you to explore and learn outside of the classroom. With its diverse and inclusive community, Tulane provides a great environment for you to grow and develop as a global citizen.

The PhD in Biostatistics at Tulane University is for advanced students who want to lead in biostatistics and data science. This PhD program takes several years to complete and helps students become experts in probability and statistical inference.

The curriculum combines theory with applied methods, including complex study design and analysis. Students develop skills in data analysis, statistical inference, and research methods, and get hands-on experience with biostatistics and bioinformatics.

Graduates typically become academic researchers, teachers, or researchers in the pharmaceutical and biomedical fields. They may work as biostatisticians, data analysts, or research scientists, and may be employed by universities, pharmaceutical companies, or government agencies.