PhD in Statistics

Beihang University (BUAA) in Beijing is a leading engineering and comprehensive university with a strong legacy in aeronautics and astronautics since 1952. Home to about 37,000 students and a large international cohort, Beihang has expanded English-taught programs to welcome global learners and now offers one of the largest selections of English programs in China. Its location in Haidian District places students close to Beijing’s technology hubs and a lively student neighborhood.

Academically, Beihang is known for engineering, aerospace and applied sciences, but it also provides programs in economics, management, law and humanities that benefit from interdisciplinary collaboration. The university invests in faculty development, research centers and hands-on competitions, and its facilities include a modern library and a gymnasium built for the 2008 Olympics. Students often engage in innovation contests, research projects and industry partnerships that strengthen employability.

International students can choose from multiple on-campus dormitory options that vary by room type and price, with common amenities provided. Campus life is active with clubs, sports teams and cultural festivals that showcase technology, arts and international exchange. For prospective international applicants seeking strong engineering training, English-language instruction and close links to China’s aerospace and technology sectors, Beihang offers rigorous academics and abundant opportunities for practical learning.

The PhD in Statistics at Beihang University is a 4-year degree for students who want to advance their knowledge in statistics. This program is taught in English and provides students with a strong foundation in statistical theory and methods.

The curriculum covers topics like statistical inference, machine learning, and data mining, as well as skills in programming languages like R or Python, and data visualization techniques. Students will also work on research projects and collaborate with faculty members to develop their critical thinking and problem-solving skills.

Graduates of this program can pursue careers as Data Analysts, Biostatisticians, Quantitative Researchers, Statistical Consultants, or Machine Learning Engineers, working for organizations like research institutions, pharmaceutical companies, or financial firms.