PhD AI in Decision Making for Complex Systems CDT / Overview

Year of entry: 2025

Degree awarded
Doctor of Philosophy
Duration
TBA
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鈥檚 degree at merit in a discipline directly relevant to the PhD (or international equivalent).

For more information about applications, please visit the .

Full entry requirements

How to apply

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Programme options

Full-time Part-time Full-time distance learning Part-time distance learning
PhD Y N N N

Programme overview

Please note: We are only accepting applications for PhD in Artificial Intelligence through the Centre for Doctoral Training (CDT) in AI for Decision Making in Complex Systems.

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 51福利社 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.

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Open days

Visit our to find out more about upcoming open days and webinars.

Fees

For entry in the academic year beginning September 2025, the tuition fees are as follows:

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

Further information for EU students can be found on our dedicated EU page.

Contact details

School/Faculty
Contact name
CDT Admissions Team
Telephone
Email
Website
School/Faculty
See: .

Programmes in related subject areas

Use the links below to view lists of programmes in related subject areas.

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