Program Overview

PhD AI in Decision Making for Complex Systems CDT

Overview

The Centre for Doctoral Training (CDT) in AI for Decision Making in Complex Systems is a 4-year programme that will educate the next generation of AI researchers to develop and deploy new machine learning models that can efficiently cope with uncertainty in complex systems.

Entry Requirements

• The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent).
• Any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent).

Programme Options

• Full-time: PhD
• Part-time: Not available
• Full-time distance learning: Not available
• Part-time distance learning: Not available

Programme Overview

The CDT will be grounded in the research areas of physics and astronomy, engineering, biology, and material science, as well as a cross-cutting theme of using AI to increase business productivity, ultimately applying the research to real-world scenarios.

Fees

• PhD (full-time):
  • UK students (per annum): Band A - £5,006.00; Band B - £7,400; Band C - £10,500; Band D - £15,200; Band E - £25,700
  • International, including EU, students (per annum): Band A - £29,400; Band B - £31,500; Band C - £37,300; Band D - £45,200; Band E - £59,900

Regulated by the Office for Students

The University of Manchester is regulated by the Office for Students (OfS). The OfS aims to help students succeed in Higher Education by ensuring they receive excellent information and guidance, get high quality education that prepares them for the future and by protecting their interests. More information can be found at the OfS website.

Degree Awarded

• Doctor of Philosophy

Duration

• TBA

School/Faculty

• School of Computer Science

Programmes in Related Subject Areas

• Computer Science

Research Areas

• Physics and astronomy
• Engineering
• Biology
• Material science
• Using AI to increase business productivity

Research Structure

• The CDT will be grounded in the research areas of physics and astronomy, engineering, biology, and material science, as well as a cross-cutting theme of using AI to increase business productivity, ultimately applying the research to real-world scenarios.