University of Cambridge
University of Cambridge

MPhil in Machine Learning and Machine Intelligence

The University of Cambridge's MPhil in Machine Learning and Machine Intelligence offers an unparalleled opportunity to delve into cutting-edge AI research within one of the world's most prestigious academic environments. With access to state-of-the-art computational facilities and a faculty renowned for groundbreaking contributions, this program provides a rigorous theoretical foundation and practical application skills essential for leading innovation in the field. Its strong interdisciplinary focus and research-intensive nature make it an exceptional choice for aspiring AI leaders.

science STEM Designated
schedule Duration

11 Months

school Level

Masters

location_on Location

United Kingdom

stars Credits

180

menu_book Syllabus & Modules

01

Machine Learning Principles

Core Module

02

Deep Learning

Core Module

03

Probabilistic Machine Learning

Core Module

04

Reinforcement Learning

Core Module

05

Computer Vision

Core Module

06

Natural Language Processing

Core Module

07

AI Ethics and Society

Core Module

08

Advanced Topics in Machine Intelligence

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

95%
Employed
Other

Average Starting Salary

£60,000 - £90,000 (GBP) starting salary

Core Focus & Roles

Machine Learning Engineer AI Researcher Data Scientist Quantitative Analyst
Graduates are highly sought after in roles requiring advanced machine learning and AI expertise across various sectors including tech giants, research institutions, finance, healthcare, and autonomous systems. Opportunities range from developing novel AI algorithms to implementing intelligent solutions for complex real-world problems. Many also pursue further doctoral studies.

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
TOEFL 100
PTE N/A
Duolingo N/A
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MAX. Backlogs Allowed

4

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Application Fee

85

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Deposit Fee

Yes

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Document Submission Deadline

Fall :- Feb. 26

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Application Deadline

Fall :- Feb. 26

Apply for this Course open_in_new Official Course open_in_new
event

Scholarship Deadline

Fall :- Jan 7

school

Academic

  • Min GPA 85
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