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Mathematics & Statistics • SED-05158

Mathematical Modelling: Data Analysis & Scientific Computing — Postgraduate

Explore Mathematical Modelling through mathematical structure, modelling and quantitative reasoning. This Postgraduate pathway uses structured learning and authentic scientific tasks to investigate proof, uncertainty, data and scientific problem solving, with a particular emphasis on data analysis & scientific computing.

LevelPostgraduateAudienceAdvanced studyIndicative learning32 guided hoursDeliveryOnline • In-person • Hybrid
SED HUB COURSE05158of 10,000
Course focus

What this pathway is designed to develop.

  • Build accurate understanding of key Mathematical Modelling concepts appropriate to the Postgraduate level.
  • Apply scientific reasoning to structured questions, evidence and authentic scenarios.
  • Develop confidence with the methods, terminology and data practices used in this area.
  • Complete guided activities or project work aligned with data analysis & scientific computing.
Indicative pathway
1Orientation & core concepts
2Mathematical Modelling knowledge building
3Data Analysis & Scientific Computing
4Evidence, analysis & application
5Review, project or next-step pathway
Applications open

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