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Complexity Sciences (PhD), PhD

University of Bristol, Faculty of Engineering


Disciplines:
  • Mathematics
  • Electrical Engineering
  • Computer Science & IT
| More

Quick facts

Country: United Kingdom Duration: 48 Months
City: Bristol Start Date: January, February, March, April, May, June, July, August, September, October, November, December
Educational Form: Unknown Languages: English 
Education Variants:
  • Full Time
Application Deadline: Not fixed

Programme Description

The Bristol Centre for Complexity Sciences (BCCS) is a highly interdisciplinary centre for training and research funded by the EPSRC. The four-year postgraduate course aims to integrate, strengthen and expand the knowledge and expertise in different areas of science and engineering to form a unique training environment for the most promising students from the UK and overseas.

Complexity Science deals with large networks of many smaller elements that interact to produce behaviour that cannot be predicted by looking at just one or two elements. You will be exposed to cutting-edge theoretical techniques (in mathematics, statistics and computer science) as well as lectures in relevant application areas. The integrated four-year programme consists of a one-year taught MRes degree followed by a three-year PhD degree, jointly supervised by experts from both the 'theoretical' and 'application' areas.

The Centre brings together expertise from across the University, in Biological Sciences, Chemistry, Civil Engineering, Computer Science, Earth Sciences, Electrical Engineering, Engineering Mathematics, Geography, Mathematics, Neuroscience and Physics. It is anticipated that you will have a background in one of these areas with strong mathematical and computational skills.

  • Contents
  • Requirements
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Contents

Theory Research Areas

The BCCS programme draws on key relevant expertise in mathematics, statistics and computer science. Topics include:

* Nonlinear dynamics
* Control theory
* Computational pattern analysis
* Network theory and graph theory
* Information theory and computational complexity
* Graphical models and complex stochastic systems
* Self-replication in stochastic modelling and inference
* Game theory and interacting systems
* Computational modelling of complex systems

Application Research Areas

Engineering
* Exabyte Informatics
* Communications
* Systems Engineering

Life Sciences
* Neuroscience
* Biology
* Protein structure, assembly and function

Molecular Sciences
* Nanoscale Complexity
* Chemical Reactivity
* Global Climate Change

You are normally required to take an English Proficiency Test if you come from a non-English speaking country.

Most European Universities recognise the IELTS test.

More information

Requirements

Entry requirements

A good undergraduate degree in a relevant subject, at a level equivalent to a first or upper second class UK degree.

Language requirements

An IELTS score of 6.5. We also accept other language tests; please see our website for details.

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