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