Masters Degrees in Mathematical Modelling

Our Industrial Mathematical Modelling MSc is designed to help you develop the mathematical modelling skills and techniques increasingly highly sought after within industry and commerce.

This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions.

The focus of this course is using mathematics to solve biological and biomedical problems. Graduates from this course are well placed to make significant contributions to the rapidly expanding healthcare sector and major societal challenges including global sustainability.

This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology.

Postgraduate degree programme in Mathematical Modelling Masters/MSc. Most things in the real world are complex and difficult to understand, from biological systems to the financial markets to industrial processes, but explaining them is essential to making progress in the modern world.

MathMods is a. 2-year. Joint. MSc programme which can be taken in. 4 EU universities. University of L’Aquila in Italy (UAQ), Vienna University of Technology in Austria (TUW), University of Hamburg in Germany (UHH), and University of Côte d'Azur in Nice, France (UCA).

The Complex Systems Modelling – from Biomedical & Natural to Economic & Social Sciences MSc course will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences.

Self-learning systems are an important and newly emerging technique in many areas of applied science such as Applied Mathematics, Engineering, Computer Science and Statistics.

Non-equilibrium processes underpin many challenging problems across the natural sciences. The mission of the Non-Equilibrium Systems.

Climate change is recognised as having potentially huge impacts on the environment and on human society. This programme is designed to give students an understanding of climate change causes, impacts, mitigation and adaptation measures from a life science perspective.

The Modelling Biological Complexity MRes is designed for students whishing to develop the skills to apply mathematical, computational and physical science techniques to real biological problems.

The focus of this course is using mathematics to solve real world problems, such as in finance, energy, engineering or scientific research.

In this. MRes Mathematical Sciences. course, you will gain deep knowledge of a chosen topic in mathematics or statistics and develop your research skills in project planning, reviewing literature, group discussions, research presentations and writing publications.

This programme gives you a flexible syllabus to suit the demands of employers that use modern financial tools and optimization techniques in areas such as the financial sector and energy markets.

Mathematics holds relevance to a wide variety of topics that drive advancement in the world. Without it, subjects such as physics, medicine, computer science, social sciences and finance would not be as they are today, or even in existence.