Mathematics and Statistics University of Northern British Columbia

Overview

The Mathematics and Statistics programme at the University of Northern British Columbia provides students with a rigorous foundation in mathematical theory and practical data analysis. This degree is designed to bridge the gap between abstract concepts and concrete applications across various scientific disciplines.

Students benefit from a curriculum that emphasises the development of logical reasoning and problem-solving capabilities. The department offers modern facilities where introductory calculus and statistics courses are enhanced through advanced computational software. These tools provide exceptional graphical displays and high-quality data processing power for research.

Why Mathematics and Statistics at the University of Northern British Columbia?

The university is distinguished by its commitment to small class sizes and direct interaction with experienced faculty members. Students have access to the Northern Sport Centre and a dedicated library that supports intensive quantitative research. The department also provides essential service courses to students in health sciences and management.

Distinctive teaching features include the integration of statistical analysis software early in the curriculum to prepare students for modern industry standards. The honours programme specifically recognises those who develop a breadth of knowledge through original research. This pathway offers the opportunity to complete an undergraduate thesis under expert supervision.

Tuition Fee Breakdown

• International fee: CAD 963 per credit
• National fee: CAD 204 per credit

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

Syllabus

Modules may include:

100 Level

• Computer Programming I
• Discrete Computational Mathematics
• Calculus I
• Calculus II

200 Level

• Multivariable Calculus I
• Multivariable Calculus II
• Linear Algebra
• Modern Mathematics
• Ordinary Differential Equations and Boundary Value Problems

300 Level

• Complex Analysis
• Mathematical Analysis
• Survey of Algebra
• Intermediate Differential Equations
• Numerical Methods
• Probability and Statistics for Scientists and Engineers
• Mathematical Statistics
• Advanced Linear Algebra

400 Level

• Topology
• Structure of Groups and Rings
• Field Theory
• Functional Analysis
• Measure Theory and Integration
• Linear Models
• Survey Sampling Design and Analysis
• Experimental Design and Analysis
• Multivariate Data

Careers with Mathematics and Statistics

Graduates from this programme are equipped for professional roles in sectors requiring high-level quantitative skills. Common career paths include positions in industrial research, data science, and financial analysis. The analytical training provided also serves as an excellent foundation for postgraduate studies in mathematics or statistics.

The skills acquired are highly valued in the biological sciences, economics, and social sciences. Many alumni find success in government agencies or private firms focusing on geophysical data analysis and ecological modelling. The programme's emphasis on abstract reasoning prepares students for evolving roles in the global technology sector.