Duration
Full-time: Varies
Next start date
2025 Semester One – 3 March
2025 Semester Two – 21 July
Available locations
City
Points
120 or 180
Programme type
Postgraduate
Taught options available

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.

Find out what our campus locations and facilities have to offer in these videos.

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 and Design. 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 

        At least 15 points from

    Up to 45 points from

45 points:

  • ENGSCI 795 Research Project

180-point masters students must complete the following:

At least 45 points from

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.

For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

Subjects available in this programme

  • Mathematical Modelling
For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

2025 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 option
    Taught 120 points
    Grade required
    GPA Grade Point Average 4.0
  • Study option
    Taught 180 points
    Grade required
    GPA Grade Point Average 4.0

Calculate your Grade Point Average (GPA)

Further programme requirements

Select your study option:

You must have completed either:

  • 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 above Stage III
  • a Bachelors (Honours) degree with a GPA of 4.0 or higher in 60 points above Stage III
  • a Bachelors (Honours) degree and passed 60 points with a GPA of 4.0 or higher in a relevant postgraduate diploma or postgraduate certificate provided that the certificate or diploma has not been awarded

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 may include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.

In exceptional circumstances, these requirements may be waived by the Associate Dean Academic, or nominee, if it is determined that you have a Bachelors degree and relevant practical, professional or scholarly experience that is equivalent to one year of postgraduate study. 

You must have completed either:

  • a relevant Bachelors degree, with a Grade Point Average of 4.0 in 60 points above Stage II
  • a relevant Bachelors degree and passed 60 points with a GPA of 4.0 in the Postgraduate Certificate, or Postgraduate Diploma, in Mathematical Modelling (provided the certificate or diploma has not been awarded)

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.

In exceptional circumstances, these requirements may be waived by the Associate Dean Academic, or nominee, if it is determined that you have at least three years of relevant practical, professional or scholarly experience.

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 option
    Taught 120 points
    Grade required
    GPE Grade Point Equivalent 4.0

    One year of postgraduate study

  • Study option
    Taught 180 points
    Grade required
    GPE Grade Point Equivalent 4.0

    An undergraduate degree

  • Qualification
    IELTS Academic International English Language Testing System
    Score required
    6.5

    No bands below 6.0.

    See alternative English language requirements

Calculate your Grade Point Equivalent (GPE)

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.

For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

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 $9.24 per point, estimated at $104,301.12 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.

See course fees for each faculty

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.

For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

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.

Other important dates

See important dates for the academic year, including orientation, enrolment, study breaks, exams, and graduation.

For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

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

MMathModel in-depth

Read about the MMathModel programme in detail and discover whether it's the right study path for you.

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Experience the University

Dr Clarke and Professor Osinga

Meet the programme directors

Learn about the new MMathModel from Dr Richard Clarke from the Faculty of Engineering and Design and Professor Hinke Osinga from the Department of Mathematics.

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