Postgraduate Certificate in Mathematical Modelling

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 PGCertMathModel provides a pathway for modelling scientists and engineers to upskill. The PGCertMathModel comprises core Engineering Science and Mathematics courses as well as electives.

At least 15 points from:

MATHS 765: Mathematical Modelling

MATHS 787: Special Topic: Inverse Problems and Stochastic Differential Equations

At least 15 points from:

ENGSCI 711: Advanced Mathematical Modelling

ENGSCI 721: Data-centric Engineering for Physical Systems

Up to 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