Overview

The PhD in Statistics at Simon Fraser University is a research-intensive program designed to equip students with advanced knowledge in statistical theory, methodology, and applications. Objectives include developing original research contributions, mastering advanced statistical techniques, and preparing for leadership roles in academia, industry, or government. Unique features include interdisciplinary opportunities with fields like biostatistics, environmental statistics, and machine learning, as well as access to collaborative projects through the university's research centers.

Career Prospects

Graduates are well-positioned for careers as university professors, research scientists, data analysts in tech and finance, biostatisticians in healthcare, and consultants in government agencies. The program's emphasis on both theoretical and applied statistics enhances employability in diverse sectors requiring data-driven decision-making.

Key Faculty/Staff

• Dr. Jiguo Cao: Expertise in functional data analysis and biostatistics.
• Dr. Liangliang Wang: Specializes in spatial statistics and computational methods.
• Dr. Julie Zhou: Focuses on statistical inference and experimental design.

Unique Facilities and Partnerships

The program benefits from SFU's Advanced Statistics Computing Laboratory, providing high-performance computing resources for large-scale data analysis. Partnerships include collaborations with the Pacific Institute for the Mathematical Sciences (PIMS) and industry ties with organizations like Statistics Canada and biotech firms in British Columbia.