Programme overview
At present, mathematical modelling is enjoying a high degree of public awareness, with real-world applications such as COVID-19 and climate modelling frequently appearing in the news.
The Master of Mathematical Modelling will expose students to a broad range of realistic modelling techniques and provide them with expertise in advanced computational tools as well as fundamental knowledge of the underlying theoretical principles and assumptions.
This programme is available with both 120- and 180-point pathways. It comprises core Engineering Science and Mathematics courses, and a broad range of electives.
Students will also complete a research project worth 45 points.
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Programme structure
The Mathematical Modelling programme is a cross-faculty collaboration between the Department of Mathematics in the Faculty of Science and the Department of Engineering Science in the Faculty of Engineering. It is available with both 120- and 180-point pathways. The programme includes four core courses and elective courses in Engineering Science, Mathematics and Physics.
Students will also complete a 45-point research project.
120-point masters students must complete the following:
At least 15 points from
- MATHS 765 Mathematical Modelling
- MATHS 787 Special Topic: Inverse Problems and Stochastic Differential Equations
At least 15 points from
- ENGSCI 711 Advanced Mathematical Modelling
- ENGSCI 721: Data-centric Engineering for Physical Systems
Up to 45 points from
- BIOMENG 771 Musculoskeletal and Orthopaedic Biomechanics
- ECON 721 Econometrics 1
- ECON 723 Econometrics 2
- ENGSCI 712 Computational Algorithms for Signal Processing
- ENGSCI 740 Advanced Mechanics in Research and Technology
- ENGSCI 746 Advanced Modelling and Simulation in Computational Mechanics
- ENGSCI 755 Decision Making in Engineering
- ENGSCI 760 Algorithms for Optimisation
- ENGSCI 761 Integer and Multi-objective Optimisation
- ENGSCI 763 Advanced Simulation and Stochastic Optimisation
- ENGSCI 765 Advanced Optimisation in Operations Research
- ENGSCI 768 Advanced Operations Research and Analytics
- ENVPHYS 701 Atmosphere and Ocean Dynamics
- MATHS 761 Dynamical Systems
- MATHS 762 Nonlinear Partial Differential Equations
- MATHS 763 Advanced Partial Differential Equations
- MATHS 764
- MATHS 766 Inverse Problems
- MATHS 769 Stochastic Differential and Difference Equations
- MATHS 770 Advanced Numerical Analysis
- OPSMGT 752 Research Methods – Modelling
- PHYSICS 742 Advanced Statistical Mechanics and Condensed Matter
- PHYSICS 743 Waves and Potentials
- PHYSICS 752 Photonics
- PHYSICS 753 The Dynamic Universe
- PHYSICS 757 Quantum Optics and Quantum Information
- PHYSICS 780 Advanced Imaging Technologies
45 points:
- ENGSCI 795 Research Project
180-point masters students must complete the following:
- 60 points:
- ENGSCI 711 Advanced Mathematical Modelling
- ENGSCI 721: Data-centric Engineering for Physical Systems
- MATHS 765 Mathematical Modelling
- MATHS 787 Special Topic: Inverse Problems and Stochastic Differential Equations
At least 45 points from
- BIOMENG 771 Musculoskeletal and Orthopaedic Biomechanics
- ECON 721 Econometrics 1
- ECON 723 Econometrics 2
- ENGSCI 712 Computational Algorithms for Signal Processing
- ENGSCI 740 Advanced Mechanics in Research and Technology
- ENGSCI 746 Advanced Modelling and Simulation in Computational Mechanics
- ENGSCI 755 Decision Making in Engineering
- ENGSCI 760 Algorithms for Optimisation
- ENGSCI 761 Integer and Multi-objective Optimisation
- ENGSCI 763 Advanced Simulation and Stochastic Optimisation
- ENGSCI 765 Advanced Optimisation in Operations Research
- ENGSCI 768 Advanced Operations Research and Analytics
- ENVPHYS 701 Atmosphere and Ocean Dynamics
- MATHS 761 Dynamical Systems
- MATHS 762 Nonlinear Partial Differential Equations
- MATHS 763 Advanced Partial Differential Equations
- MATHS 764
- MATHS 766 Inverse Problems
- MATHS 769 Stochastic Differential and Difference Equations
- MATHS 770 Advanced Numerical Analysis
- OPSMGT 752 Research Methods – Modelling
- PHYSICS 742 Advanced Statistical Mechanics and Condensed Matter
- PHYSICS 743 Waves and Potentials
- PHYSICS 752 Photonics
- PHYSICS 753 The Dynamic Universe
- PHYSICS 757 Quantum Optics and Quantum Information
- PHYSICS 780 Advanced Imaging Technologies
Up to 30 points from approved 600 and 700 level courses offered at this University
- 45 points: ENGSCI 795 Research Project
You'll also need to meet other requirements, including time limits and total points limits. See Postgraduate enrolment.
Subjects available in this programme
- Mathematical Modelling
2024 entry requirements
My highest qualification is from:
Programme requirements
Minimum programme requirements
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
-
Study optionTaught 120 pointsGrade requiredGPA Grade Point Average 4.0
-
Study optionTaught 180 pointsGrade requiredGPA Grade Point Average 4.0
Further programme requirements
Select your study option:
You must have completed one of:
- A Bachelor of Arts (Honours), Bachelor of Science (Honours), Bachelor of Advanced Science (Honours), or Bachelor of Engineering (Honours), in a relevant subject and with a Grade Point Average of 4.0 or higher in 120 points above Stage III.
- A Bachelors degree and Postgraduate Diploma, each in a relevant subject and with a Grade Point Average of 4.0 or higher in 60 points of the relevant subject.
- A Bachelor of Arts or Bachelor of Science in a relevant subject, with a Grade Point Average of 4.0 or higher in 75 points above Stage II and three years of relevant professional experience.
You must also have completed 15 points from COMPSCI 130, ENGGEN 131, MATHS 162, and 15 points from ENGSCI 311, 313, 314, MATHS 361, or the equivalent as approved by the Programme Director.
Relevant subjects include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.
You must have completed one of:
- A Bachelor of Arts or Bachelor of Science in a relevant subject, with a Grade Point Average of 4.0 in 75 points above Stage II
You must also have completed 15 points from COMPSCI 130, ENGGEN 131, MATHS 162, and 15 points from ENGSCI 311, 313, 314, MATHS 361, or the equivalent as approved by the Programme Director.
Relevant subjects include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.
Other pathways to study
If you do not meet the GPA requirement, you can still gain entry by passing 60 points towards the Postgraduate Certificate in Mathematical Modelling, or the Postgraduate Diploma in Mathematical Modelling, with a GPA of 4.0.
Programme requirements
Minimum programme requirements
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
-
Study optionTaught 120 pointsGrade requiredGPE Grade Point Equivalent 4.0
One year of postgraduate study
-
Study optionTaught 180 pointsGrade requiredGPE Grade Point Equivalent 4.0
An undergraduate degree
-
QualificationIELTS Academic International English Language Testing SystemScore required6.5
No bands below 6.0.
Further programme requirements
Taught 120 points
You must have completed either:
- One year of postgraduate study, following an undergraduate degree, in a relevant subject, with a GPE of 4.0.
- An undergraduate degree from a recognized institution in a relevant subject, with a GPE of 4.0, and three years of relevant professional experience.
You must have completed an introductory programming course in MATLAB, C, Python, or similar coding language, and an advanced undergraduate course on partial differential equations, or the equivalents as approved by the Programme Director.
Relevant subjects include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.
If you do not meet the GPE requirement, you can still gain entry by passing 60 points towards the Postgraduate Certificate in Math Modelling, or the Postgraduate Diploma in Math Modelling, with a GPA of 4.0.
How much does a Master of Mathematical Modelling cost per year?
2025 fees
- Domestic students
- NZ$12,127.20*
- International students
- NZ$52,842*
Fees are set in advance of each calendar year and will be updated on this website. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs. Amounts shown are indicative only. In addition to the tuition fees, there is a Student Services Fee of $8.88 per point, estimated at $100,237.44 for full-time study (11288 points). Fees will be confirmed upon completion of enrolment into courses.
*Please note: amounts shown are indicative and estimates only.
Find out about financial support information
Scholarships and awards
Find out about the scholarships you may be eligible for.
Student loans and allowances
Are you a New Zealand citizen or resident? You could be eligible for a student loan or allowance.
Cost of living
Get an idea of how much accommodation and general living in Auckland will cost.
Key dates
Please note: We will consider late applications if places are still available. International students should start the application process as early as possible to allow sufficient time to apply for a visa.
Application closing dates
- Semester One 2025
- 8 December 2024
- Semester Two 2025
- 4 July 2025
Start dates
Here are the start dates for the programme.
Semester One | Starts – 26 February |
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Ends – 24 June | |
Semester Two | Starts – 15 July |
Ends – 11 November |
Semester One | Starts – 3 March |
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Ends – 30 June | |
Semester Two | Starts – 21 July |
Ends – 17 November |
Other important dates
See important dates for the academic year, including orientation, enrolment, study breaks, exams, and graduation.
Where could this programme take you?
You will be competent in interdisciplinary mathematical modelling and familiar with advanced computational techniques and methodologies. You may take up specialist roles in industrial R&D departments, government advice offices and quantitative forecasting.
Jobs related to this programme
- Consultant
- Data Scientist
- Meteorologist
- Data Engineer
- Entrepreneur
- Chief Technology Officer
- R&D Engineer
- Forecasting Analyst
Read about the MMathModel programme in detail and discover whether it's the right study path for you.
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Once you become a student at the University, you can get help with planning and developing your career from Career Development and Employability Services.
Experience the University
Meet the programme directors
Learn about the new MMathModel from Dr Richard Clarke from the Faculty of Engineering and Professor Hinke Osinga from the Department of Mathematics.
Do you need help?
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Need to speak to someone?
You can phone us directly.
- Auckland
- 923 5025
- Outside Auckland
- 0800 61 62 63
- International
- +64 9 373 7513