Complexity Science

Entry requirements

Individual applications are invited where candidates have already completed Master's-level training in a related field and obtained a merit or distinction (or international equivalent)

Months of entry

October

Course content

Areas for PhD supervision include:

• Complexity, Emergence and Upscaling (complex systems theory, network reduction, particle and turbulent systems);
• Complex Fluids and Complex Flows (granular, foam and Brownian systems);
• Clustering, Condensation and Jamming (traffic modelling, molecular transport modelling and granular media);
• Complex Networks and their Dynamics (neuroscience, epidemiology, biodiversity, dynamics of opinions and markets);
• Network Statistical Inference (molecular biology, health and economics);
• New Applications of Statistical Mechanics (granular materials, molecular biology and opinion dynamics).

Information for international students

For guidance on English language requirements, please visit our website.

Fees and funding

There are several funding opportunities available for students applying for this course. These include external awards, wider University awards and departmental scholarships. Details can be found here:

www2.warwick.ac.uk/study/postgraduate/funding

Qualification and course duration

PhD

Course contact details