University of Edinburgh: Mathematical Modelling, Analysis and Computation
|Institution||University of Edinburgh View institution profile|
|Department||School of Mathematics|
On this integrated degree you will join the broader Maxwell Institute Graduate School in its Bayes Centre home.
You will benefit from:
- dedicated academic training in subjects that include mathematical analysis, computational mathematics, multi-scale modelling, model reduction, Bayesian inference, uncertainty quantification, inverse problems and data assimilation, and machine learning
- extensive experience of collaborative and interdisciplinary work through projects, modelling camps, industrial sandpits and internships
- outstanding early-career training, with a strong focus on entrepreneurship
- a dynamic and forward-looking community of mathematicians and scientists, sharing strong values of collaboration, respect, and social and scientific responsibility
You will integrate into a vibrant research environment, closely interacting with many academics comprised of mathematicians from the University of Edinburgh and Heriot-Watt University, as well as computer scientists, biologists, engineers, physicists and chemists providing their own disciplinary expertise, and these are also complemented by many industrial and government partners.
Doctor of Philosophy - PhD
|Level||SCQF Level 12|
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.
University of Edinburgh
Influencing the world since 1583
The University of Edinburgh is one of the world's top universities, consistently ranked in the world top 50, and ranked 20th in the 2020 QS World University Rankings. Our entrepreneurial and cross-disciplinary culture attracts not only students but also staff from some 156 countries, creating a unique Edinburgh experience.
We provide a stimulating working, learning, and teaching environment with access to excellent facilities and attract the world's best, from Nobel Prize winning laureates to future explorers, pioneers and inventors.
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