University of Canterbury

Overview

The Mathematical Sciences Education program at the University of Canterbury provides a robust foundation in mathematics and statistics while equipping students with effective teaching and communication skills. This degree focuses on developing analytical skills for data interpretation, enhancing learning experiences, and applying mathematical reasoning to tackle real-world challenges.

What you'll study

This program integrates mathematics and statistics with educational theory and practice. The course selection may differ based on your academic background and personal interests.

Typical course areas

• Mathematics and mathematical reasoning
• Mathematics in society and culture
• Mathematics teaching and learning
• Data and data-handling skills
• Education, culture, and society
• Learning theory and approaches to teaching (including learning science)

Example courses

• Spark! The Art & Science of Learning
• Education, Culture and Society
• Mathematics
• Mathematics, Society and Culture
• Mathematics Teaching and Learning
• Data Wrangling

Assessment and capstone

Students will typically be assessed through a combination of problem sets, written assignments, teaching reflections, and data-related tasks. Some assessments may include group projects or presentations. For specific assessment details, including any capstone or practicum requirements, please consult the current program curriculum on the UC website.

Entry requirements

Admission to the program requires meeting the University Entrance standard or an equivalent qualification, along with any specific subject requirements outlined by UC. For those who may not meet the entry criteria, the university offers transition options to assist with preparation.

Career prospects

Graduates of the Mathematical Sciences Education program can pursue various career paths in education, including teaching at primary and secondary levels, curriculum development, educational consultancy, and roles in educational administration. The skills acquired in this program also prepare graduates for data analysis positions in diverse sectors.