Apply for Mathematical Optimisation Specialisation

SPUC-MATOP

Mathematical Optimisation Specialisation

Undergraduate specialisation

Course outline
  • Qualification
    Mathematical Optimisation Specialisation
  • Credit

    Credit

    100
Course outline

Check the application deadline for the parent course

Course outline

Outline

Outline

The Mathematical Optimisation Specialisation is designed to provide students with the necessary skills in mathematics and the ability to apply them to problems stemming from mathematical modelling and optimisation. The Specialisation first develops a student’s competency in the use of differential equations and multivariate calculus then builds upon this knowledge of calculus as well as linear algebra into areas of transportation, project planning and management, network modelling and optimisation, constrained and unconstrained optimisation, dynamic programming, queuing and simulation modelling, and numerical optimisation. Graduates are well-equipped with the tools required to model and solve real world problems.

What you'll learn

  • Demonstrate a conceptual understanding of fundamental science, mathematics, data analytics, information science, sustainability principles and/or computing, GC1
  • Solve mathematical optimisation problems of industrial and societal significance via innovative and creative design or research, working individually or in teams, GC2
  • Select and use current and emerging technologies to develop and communicate effective and innovative mathematical optimisation solutions to complex problems, GC3
Credit for recognised learning (CRL)

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Fees and charges

Fee information is not available for this course at this time. Find estimated course fees.

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  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

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  • Curtin course code: SPUC-MATOP
  • Last updated on: 12 July 2024

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