Research course
AI in Decision Making for Complex Systems CDT
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) OR 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).
Months of entry
September
Course content
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. Bringing together researchers in machine learning from the universities of Manchester and Cambridge, 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.
For more information, please visit the CDT in AI for Decision Making in Complex Systems website.
Qualification, course duration and attendance options
- PhD
- full time36-48 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- School of Computer Science
- aidecisionscdt@manchester.ac.uk