Engineering and Computational Mathematics

This specialisation combines advanced mathematics with computational methods to solve complex engineering and scientific problems. You will study numerical linear algebra, optimisation, fluid mechanics, computational fluid dynamics, and electromagnetic computations, learning how mathematics is transformed into practical computational tools.

Examples of what you can work with:
• Simulation of fluid flows and turbulent systems.
• Optimisation of industrial processes and logistics.
• Mathematical modelling of engineering systems.
• High-performance numerical simulations in science and technology.

Graduates develop expertise in mathematical modelling, scientific computing, numerical simulation, and computational problem-solving These skills are highly sought after in sectors such as aerospace, automotive engineering, energy systems, telecommunications, software development, and industrial R&D.

Requirements

The requirements for the Master's programme Mathematics, Statistics and Data Science apply to this specialisation.

How to select a specialisation

You may choose this specialisation after you have been admitted and enrolled. Only one specialisation can be selected.