PhD in Statistics

Nankai University is a prestigious multidisciplinary university in Tianjin with a century of academic excellence since its founding in 1919. As a member of China’s top university groups, Nankai offers strong programs across sciences, humanities, business and the arts, with particular recognition for mathematics, chemistry, history and economics. The campus culture blends rigorous scholarship with a tradition of civic engagement and intellectual inquiry.

Nankai provides extensive academic resources including four main libraries, large digital collections and dedicated research centres, enabling students to pursue ambitious projects and cross-disciplinary study. Facilities for sports, cultural activities and student organizations support a balanced student life, while the multipurpose smart campus card and widespread campus wifi make daily life convenient. Close links with industry and research institutes create internship and research opportunities for undergraduates and postgraduates.

Located in Tianjin, a dynamic city close to Beijing, Nankai students benefit from thriving industry, international business presence and cultural events. International students find strong orientation support, language resources and a welcoming campus community. Graduates leave with strong credentials, research experience and the professional networks needed to succeed in academic, public and private sectors at home and abroad.

The PhD in Statistics at Nankai University is for students who want to become experts in statistics. This 4-year degree helps students learn advanced statistical methods.

The curriculum covers subjects like statistical theory, data analysis, and research methods. Students will develop skills in data modeling, statistical computing, and academic writing. They will also work on research projects to apply their knowledge.

After graduation, students can become Statisticians, Data Analysts, Research Assistants, or Academic Researchers. They can work in industries like healthcare, finance, or government, and for employers like universities, research institutes, or pharmaceutical companies.