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6 Mathematics and Statistics Degree Programs in New Zealand
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University of Otago
Master of Science (MSc) in Mathematics
- Dunedin, New Zealand
MSc
Full time
2 years
On-Campus
English
Topics in advanced mathematics. Techniques and applications covering the classical core of mathematics and its modern developments and applications. Details are available from the Department of Mathematics and Statistics. Techniques and applications covering the classical core of mathematics and its modern developments and applications.
University of Otago
Bachelor of Science (BSc) Majoring in Mathematics
- Dunedin, New Zealand
BSc
Full time
3 years
On-Campus
English
The aim is to develop confidence and capability in the concepts and techniques of modern mathematics and its applications. Calculus and linear algebra provides the foundation for future study in mathematics and also the application of mathematics in other disciplines.
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Victoria University of Wellington
Master of Applied Statistics – MAppStat
- Wellington, New Zealand
Master degree
Full time
12 months
On-Campus
English
Our Master of Applied Statistics (MAppStat) is designed to train you in a range of advanced techniques and to provide you with an appreciation of the variety of work undertaken by professional statisticians and consultants. It is made up of both coursework and practical training, allowing you to develop skills in research and consultancy. You’ll then apply these skills in a work placement in a relevant government department or business.
The University of Waikato
Bachelor of Computing and Mathematical Sciences (Hons)
- Hamilton, New Zealand
Bachelor's degree
Full time
4 years
On-Campus
English
The Bachelor of Computing and Mathematical Sciences is New Zealand’s only computing and mathematical science degree taught over four years. That extra year gives you the chance to drill more deeply into your specialist area and add papers that will complement your main focus.
Massey University
Developing Mathematical Inquiry Communities
- Auckland, New Zealand
- Palmerston North, New Zealand
- + 1 more
Course
On-Campus
English
The key goal of the course is to investigate how teachers can engage students in mathematical inquiry to raise their achievement. Online readings and activities will cover: communication and participation in the mathematics inquiry classroom grouping arrangements and student perspectives planning for learning, including tools, tasks and representations. This course will build on the Ministry of Education’s Best Evidence Synthesis Exemplar 1, which promotes best practices in teaching mathematics.
Massey University
Mathematical Content Knowledge and Task Adaptation Course
- Auckland, New Zealand
- Palmerston North, New Zealand
- + 1 more
Course
On-Campus
English
This course is intended to support teachers to develop mathematical content knowledge and adapt mathematical tasks to implement in the classroom. The course consists of nine workshops.These courses can be run either as a 1 day (6 hours) course during the school holidays, or as 3 separate after school sessions (2 hours each). This will be run Zoom.
Learn more about Mathematics and Statistics degree programs in New Zealand
You'll examine patterns, probability, and quantitative reasoning through one of the most versatile academic disciplines available today. New Zealand universities integrate applied coursework with real research contexts, giving you direct exposure to how mathematical and statistical methods function outside the classroom.
The learning environment fosters intellectual independence and encourages you to question assumptions rather than simply apply formulas. In a typical program, you'll work through modules covering linear algebra, statistical modeling, calculus, and data analysis, often alongside industry-linked projects that connect theory to sectors like finance, public health, and environmental science.
At the undergraduate level, you build strong analytical foundations before choosing elective pathways in pure mathematics, applied statistics, or computational methods. A postgraduate program goes further, expecting you to lead original research, interpret complex datasets with advanced statistical tools, and contribute findings to your field. Graduates move into roles across actuarial science, quantitative analysis, epidemiology, logistics, and academic research. The competencies you develop, including rigorous reasoning and evidence-based problem solving, are recognized by employers across global markets.