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Masters degrees in Mathematical Modelling equip postgraduates with the skills to apply mathematical methods in the construction (or simulation) of real-world processes. From these simulations, calculations and predictions may then be made.
Related postgraduate specialisms include Data Visualisation and Predictive Modelling. Entry requirements typically include an undergraduate degree in a relevant Mathematics subject.
Mathematical Modelling is essential in our understanding of many of the day-to-day processes and systems we know and utilise.
For example, modelling is a useful way of understanding different economies. You may work on behalf of government departments, dealing with big data to assess where crucial changes are needed, or to record activity.
This could include analysing the number of organisations involved with certain trade deals and transactions, or how certain economic operations will fare under different circumstances, such as recession.
These techniques also help understand industries such as transport or finance, whereby current figures may be used to assess supply and demand of different products and services.
Alternatively, you could be employed to undertake operational research on behalf of an organisation, calculating budgets, profits, pay scales and stocks.
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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. Read more
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. Read more
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). Read more
Mathematical Biology is an important field of research that is crucial for developing our understanding of living systems. In turn, the complexity of living systems can inspire the development of new mathematical approaches. Read more
Since the 1990s Heriot-Watt University has had an internationally renowned research group in Mathematical Biology, Ecology and Medicine. Read more
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. Read more
Non-equilibrium processes underpin many challenging problems across the natural sciences. The mission of the Non-Equilibrium Systems. Read more
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. Read more
Fluid dynamics has diverse applications and is used to understand phenomena observed in geophysics and astrophysics. At Exeter, this field of research is the focus of the Geophysical and Astrophysical Fluid Dynamics research group. Read more
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. Read more
This MSc draws upon the research of the Exeter Climate Systems centre - a world-leading community of staff working at the frontier of mathematics, statistics and climate science. Read more
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. Read more
The Department of Civil & Structural Engineering at the University of Sheffield was founded in 1917 and we have a strong research history in fundamental areas such as structures and water.
Sussex has a prestigious international reputation and is ranked amongst the top 20 universities in the UK, with both departments ranked amongst the top 15 (Guardian University Guide 2018).
The Faculty of Science and Engineering (FSE) offers a large number of Master's programmes(overseen by our Graduate School of Science and Engineering).