Advance your knowledge and understanding of interdisciplinary mathematical modelling and gain skills in modelling-specific technical advances and computational methods.
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. Consequently, there is a growing need for a broad range of realistic modelling techniques and expertise in advanced computational methods.
The PGDipMathModel provides a pathway for modelling scientists and engineers to upskill.
The PGDipMathModel comprises four core Engineering Science and Mathematics
courses, and a broad range of electives.
Programme structure
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 30 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: Computational Engineering for Physical Systems
ENGSCI 746: Advanced Modelling and Simulation in Computational Mechanics
ENGSCI 755
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
MATHS 769
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 other approved 600 and 700 level courses offered at this University
You'll also need to meet other requirements, including time limits and total points limits. See Postgraduate enrolment.
Where could this programme take you?
Graduates of the PGDipMathModel will have a demonstrated knowledge and advanced understanding of interdisciplinary mathematical modelling.
Jobs related to this programme
Consultant
Data Engineer
Data Scientist
Forecasting Analyst
Meteorologist
*Price shown is for indicative purposes, please check with institution
Expected July 2025
More details
Start date
3 March 2025
University of Auckland
City Campus,
Alfred Nathan House, 24 Princes Street,
AUCKLAND CITY,
Auckland Central,
1010, New Zealand
IELTS (Academic): Overall score of 6.5 and bands less than 6.0; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85.
*There may be different IELTS requirements depending on your chosen course.
The University of Auckland is New Zealand’s largest and most highly ranked university, with a global reputation for academic excellence.