Postgraduate Diploma in Mathematical Modelling
University of Auckland · Auckland · UOA-PGDIPMATHMODEL
Postgraduate Diploma in Mathematical Modelling at University of Auckland lists 30 subjects. Subjects include Musculoskeletal and Orthopaedic Biomechanics, Econometrics 1 and Time Series and Panel Data Econometrics. The topics that come up most are computational mathematics, mathematical economics and differential equations (12, 12 and 6 subjects). It takes 1 year full time and has intakes in March and July.
Compiled from public course information: approximate, not official.
University of Auckland
Postgraduate
1 year
full-time
City
What you'll study in Postgraduate Diploma in Mathematical Modelling
Example subjects: Musculoskeletal and Orthopaedic Biomechanics, Econometrics 1, Time Series and Panel Data Econometrics, Advanced Mathematical Modelling, Computational Algorithms for Signal Processing, Data-centric Engineering for Physical Systems, Computational Engineering for Physical Systems, Advanced Modelling and Simulation in Computational Mechanics, Decision Making in Engineering, Algorithms for Optimisation, Integer and Multi-objective Optimisation, Advanced Simulation and Stochastic Optimisation.
Frequently asked questions
How long is Postgraduate Diploma in Mathematical Modelling?
Postgraduate Diploma in Mathematical Modelling at University of Auckland is typically 1 year of full-time study. Approximate: confirm with the university.
What will I study in Postgraduate Diploma in Mathematical Modelling?
Postgraduate Diploma in Mathematical Modelling covers areas like computational-mathematics, mathematical-economics, differential-equations, engineering-mathematics, stochastic-processes, operations-management, modelling, distributed-systems.
Who offers Postgraduate Diploma in Mathematical Modelling?
Postgraduate Diploma in Mathematical Modelling is offered by University of Auckland, Auckland.
Considering Postgraduate Diploma in Mathematical Modelling?
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Sources: University of Auckland official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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