The Master of Mathematical Modelling is a postgraduate degree that provides advanced skills in mathematical modelling techniques, computational tools, and theoretical foundations. The programme is designed to prepare students to apply mathematical models to real?world problems in science, engineering, data science, economics, climate analysis, epidemiology and more.

 

This degree is delivered through a collaboration between the Department of Mathematics in the Faculty of Science and the Department of Engineering Science in the Faculty of Engineering and Design, blending mathematics with engineering approaches.

 

Why Study This Programme?

Studying Mathematical Modelling equips you with:

• Cross?disciplinary expertise in applied mathematics, computation and systems analysis.
• Skills applicable to global challenges like climate modelling, epidemics forecasting, transport problems and quantitative analysis.
• Strong foundation for careers in data science, R&D, consulting, forecasting, engineering analytics and decision science.

 

Subjects & Programme Structure

The programme blends core modelling methods with electives from mathematics, engineering science and related areas.

Typical Included Subjects

Core and specialised topics students may take include:

• MATHS 765 – Mathematical Modelling
• Special Topics in Modelling and Differential Equations
• Advanced Mathematical Modelling (ENGSCI)
• Data?centric Engineering for Physical Systems
• Electives from physics, economics, computational algorithms (e.g., quantum information, econometrics)

 

Research Component

• A 45?point research project is a major part of both pathways, allowing you to focus on an application or modelling area of your choice.

 

Career Outcomes

Graduates of this programme gain skills for roles such as:

• Data Scientist / Data Analyst
• Quantitative Forecasting Analyst
• Consultant / R&D Specialist
• Meteorologist or Climate Model Analyst
• Engineering Modeller or Algorithm Developer

 

Visa & Immigration Requirements

International students must obtain a New?Zealand Student Visa before arrival. To do so you typically need:

• A confirmed offer of study
• Proof of sufficient funds, medical insurance, and health/character requirements
• Evidence of English proficiency and full?time enrolment

 

Highlights & Special Notes – International Students

• Dual?faculty expertise: Benefit from both mathematical theory and engineering science approaches.
• Research emphasis: Strong research component prepares you for advanced careers or PhD progression.
• Global relevance: Mathematical modelling skills are widely applicable worldwide.
• Flexible pathways: Choose between 120?point (faster completion) and 180?point (more research depth) routes.