University of Edinburgh AI and Machine Learning Programs

University of Edinburgh AI and Machine Learning Programs

Edinburgh, ScotlandLocation
UniversitySchool type
Estd1592established year
28153enrollment
Public
Partner [2 Courses]
7.2/10

Important Alerts

EventsDates
Data Science Application Deadline For 2025 Intake
Closing in 129 days
31st Mar 2025
Data Science Application Decision Deadline For 2025 Intake
Closing in 190 days
31st May 2025
Business Analytics Round 1 Application Decision Deadline
Closing in 15 days
7th Dec 2024

At University of Edinburgh’s AI and Machine Learning Programs, you'll advance your knowledge of AI and machine learning through lectures, group work and laboratory exercises and put your ideas into practice on a research project. Students will get real-world insights from experts who work in industry. The knowledge of analytics tools combined with an understanding of data mining and machine learning approaches will enhance your ability to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.

STEM Course

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Master of Science [M.Sc] Artificial Intelligence

1 year
On Campus
English
Full Time
Exam Scores: IELTS6.0|TOEFL92|PTE56|GRE298
Important Date: 31 Mar, 2025
INR 44.8 L/YrGBP 40,900 /Yr
2 Students Applied
2 Students Admitted

Master of Science Research [M.Sc] Informatics

1 year
On Campus
English
Full Time
Exam Scores: IELTS6.0|TOEFL92|PTE56|GRE298
INR 38.7 L/YrGBP 35,300 /Yr
1 Student Applied
1 Student Admitted

Bachelor of Science [B.S] Artificial Intelligence and Computer Science

4 years
On Campus
English
Full Time
Exam Scores: IELTS6.5|TOEFL92|PTE61
Important Date: 29 Jan, 2025
INR 38.1 L/YrGBP 34,800 /Yr

Bachelor of Science [B.S] Artificial Intelligence

4 years
On Campus
English
Full Time
Exam Scores: IELTS6.5|TOEFL92|PTE61
Important Date: 29 Jan, 2025
INR 38.1 L/YrGBP 34,800 /Yr

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27 Reviews Found

It was ranked high for my degree and Scotland was a fun place to live. I chose computer science because I love coding.

academic: 9/10
faculty: 8/10
infrastructure: 10/10
accomodation: 10/10
placement: 9/10

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