Master of Mathematical Modelling specialisation in Mathematical Modelling - Taught 120

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The Mathematical Modelling programme is a cross-faculty collaboration between the Department of Mathematics in the Faculty of Science and the Department of Engineering Science in the Faculty of Engineering and Design. Its focus is on advanced mathematical and computational techniques required for modelling real-world phenomena such as transport over networks, epidemics, or climate change. This programme will deepen your theoretical understanding of mathematical models and their implementation, providing you with the expertise to transform a multidimensional real-world problem into a set of equations you can analyse with advanced theoretical and computational tools. You will learn to construct and use mathematical models to help solve questions ranging from the effects of global climate change to planning infrastructure, predicting financial fluctuations, managing disease epidemics, or designing better systems of healthcare and health equity.

You will be competent in interdisciplinary mathematical modelling and familiar with advanced computational techniques and methodologies. You may take up specialist roles in industrial R&D departments, government advice offices and quantitative forecasting.

Complete 120 points comprising:

At least 15 points from Mathematics Elective Courses, and
At least 15 points from Engineering Science Elective Courses, and
15 to 45 points from Additional Elective Courses, and
Either:
45 points for all Research Project - 1 Semester, or
45 points for all Research Project - 2 Semesters

Mathematics Elective Courses

Complete at least 15 points from the following:

MATHS 765 - Mathematical Modelling (15 points)

MATHS 767 - Inverse Problems and Stochastic Differential Equations (15 points)

Engineering Science Elective Courses

Complete at least 15 points from the following:

ENGSCI 711 - Advanced Mathematical Modelling (15 points)

ENGSCI 721 - Data-centric Engineering for Physical Systems (15 points)

Additional Elective Courses

Complete 15 to 45 points from the following:

BIOMENG 771 - Musculoskeletal and Orthopaedic Biomechanics (15 points)

ECON 721 - Econometrics 1 (15 points)

ECON 723 - Time Series and Panel Data Econometrics (15 points)

ENGSCI 712 - Computational Algorithms for Signal Processing (15 points)

ENGSCI 740 - Computational Engineering for Physical Systems (15 points)

ENGSCI 746 - Advanced Modelling and Simulation in Computational Mechanics (15 points)

ENGSCI 755 - Decision Making in Engineering (15 points)

ENGSCI 760 - Algorithms for Optimisation (15 points)

ENGSCI 761 - Integer and Multi-objective Optimisation (15 points)

ENGSCI 763 - Advanced Simulation and Stochastic Optimisation (15 points)

ENGSCI 765 - Advanced Optimisation in Operations Research (15 points)

ENGSCI 768 - Advanced Operations Research and Analytics (15 points)

ENVPHYS 701 - Atmosphere and Ocean Dynamics (15 points)

MATHS 761 - Dynamical Systems (15 points)

MATHS 763 - Advanced Partial Differential Equations (15 points)

MATHS 764 - Mathematical Biology (15 points)

MATHS 766 - Inverse Problems (15 points)

MATHS 767 - Inverse Problems and Stochastic Differential Equations (15 points)

MATHS 769 - Stochastic Differential and Difference Equations (15 points)

MATHS 770 - Advanced Numerical Analysis (15 points)

OPSMGT 752 - Modelling Methods in Operations Management (15 points)

PHYSICS 742 - Advanced Statistical Mechanics and Condensed Matter (15 points)

PHYSICS 743 - Waves and Potentials (15 points)

PHYSICS 752 - Photonics (15 points)

PHYSICS 753 - The Dynamic Universe (15 points)

PHYSICS 757 - Quantum Optics and Quantum Information (15 points)

PHYSICS 780 - Advanced Imaging Technologies (15 points)

Research Project - 1 Semester

Complete 45 points for ALL of the following:

ENGSCI 795 - Research Project (45 points)

Research Project - 2 Semesters

Complete 45 points for ALL of the following:

ENGSCI 795A - Research Project (15 points)

ENGSCI 795B - Research Project (30 points)