Program overview
Admission Requirements
Intakes

Last updated on 2026-10-05

Program overview

Program overview

The Doctor of Philosophy in Statistics at the University of Victoria is designed to equip students with advanced knowledge and skills in the field of statistics. This program emphasizes mentorship from faculty members, allowing students to engage in coursework, prepare for candidacy exams, and ultimately complete an original, publishable dissertation. Graduates will emerge with a strong foundation in statistical theory and methodology, ready to contribute significantly to the field.

Program structure

The PhD program in Statistics is structured to provide a comprehensive educational experience over a 3-4 year period, which typically encompasses 9-12 academic terms. The program is delivered on-campus and offers the following options:

  • Full-time study
  • Co-op optional

Students will engage in a combination of coursework and research, culminating in a dissertation that showcases their original contributions to the field. The program is designed to foster a deep understanding of statistical principles and their applications across various domains.

Featured Experiences

  • Opportunity to participate in a co-op program, providing practical experience in the field.
  • Access to mentorship from experienced faculty members throughout the program.
  • Engagement in research that advances the field of statistics.
  • Preparation for candidacy exams to ensure readiness for dissertation work.
  • Collaboration with faculty on publishable research projects.

Career Options

  • Statistician: Analyze data and apply statistical techniques to solve real-world problems in various industries.
  • Data Scientist: Utilize statistical methods and machine learning to extract insights from large datasets.
  • Biostatistician: Work in healthcare and pharmaceuticals, designing studies and analyzing data related to health outcomes.
  • Quantitative Analyst: Apply statistical models to financial data to inform investment strategies and risk management.
  • Academic Researcher: Conduct independent research and teach at universities, contributing to the advancement of statistical knowledge.

 

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