Statistics University of British Columbia

Overview

The M.Sc. in Statistics at the University of British Columbia provides students with a rigorous foundation in both theoretical and applied statistical methodologies. This internationally renowned programme is designed to equip graduates with the high-level analytical skills necessary for professional success in various data-driven sectors. Students benefit from a flexible curriculum that allows for specialisation in areas such as biostatistics or bioinformatics.

Why Statistics at the University of British Columbia?

The Department of Statistics is celebrated for its research excellence and leadership within the global scientific community. Students are immersed in a collaborative environment that values data-driven research, consulting, and interdisciplinary partnerships. A unique feature of the programme is the student-run statistical consulting service, which offers participants paid professional experience while they complete their studies. The faculty includes world-class researchers specialising in diverse fields, from machine learning to environmental modelling, ensuring a rich academic experience.

Tuition Fee Breakdown

• International fee: CAD 9884 per year
• National fee: CAD 5626 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Research areas and modules may include:

• Biostatistics
• Machine Learning
• Statistical Inference
• Asymptotics
• Multivariate Analysis
• Design of Experiments
• Bayesian Methods
• Computational Molecular Biology
• Longitudinal Data Analysis

Careers with Statistics

Graduates of this programme are highly sought after by industry leaders and government agencies. The flexible nature of the degree prepares students for diverse roles in biostatistics, bioinformatics, genomics, data mining, and statistical computing. Many alumni secure positions promptly after graduation in sectors such as finance, insurance, and public health. Additionally, the programme serves as an excellent foundation for those wishing to pursue doctoral studies at top-ranked global institutions. Past graduates have successfully transitioned into roles involving risk assessment, epidemiological forecasting, and high-dimensional data analysis.