University of Oxford
University of Oxford

Fundamentals of AI (EIT CDT)

Pursuing a PhD in Fundamentals of AI at the University of Oxford, especially through the EIT CDT, offers an unparalleled opportunity to engage with world-leading research and innovation in AI. Oxford's esteemed academic reputation, coupled with state-of-the-art research facilities and a collaborative environment, provides a robust foundation for groundbreaking contributions to the field. This program is ideal for aspiring researchers and innovators seeking to push the boundaries of AI knowledge and application.

science STEM Designated
schedule Duration

48 Months

school Level

PhD

location_on Location

United Kingdom

stars Credits

360

menu_book Syllabus & Modules

01

Machine Learning Foundations

Core Module

02

Deep Learning Architectures

Core Module

03

Reinforcement Learning

Core Module

04

Natural Language Processing

Core Module

05

Computer Vision

Core Module

06

AI Ethics and Governance

Core Module

07

Advanced AI Algorithms

Core Module

08

Research Methods in AI

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

95%
Employed
Other

Average Starting Salary

£60,000 - £90,000 (starting, dependent on sector and role)

Core Focus & Roles

AI Research Scientist Machine Learning Engineer AI Ethics Specialist Data Scientist (Senior/Lead)
Graduates are highly sought after in academia, industrial research and development, and leadership roles in technology companies. They contribute to cutting-edge AI innovation, develop new algorithms, and lead strategic AI initiatives across various sectors. Target industries include tech, finance, healthcare, automotive, and defense.

Entry Requirements

language

English & Others

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Accepts 15 Years Education

Yes

GMAT N/A
GRE N/A
SAT N/A
ACT N/A
IELTS 7.5
TOEFL 110
PTE N/A
Duolingo N/A
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MAX. Backlogs Allowed

5

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Application Fee

20

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Deposit Fee

Yes

event

Document Submission Deadline

One and a half months before start date

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Application Deadline

One months before start date

Apply for this Course open_in_new Official Course open_in_new
event

Scholarship Deadline

Yes

school

Academic

  • Min GPA 80
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