Master of Science [M.Sc] (Artificial Intelligence)
$52,352 /Yr
- MSc in Artificial Intelligence at the University of Edinburgh is offered a program for a duration of 1 year.
- The University of Edinburgh is one of the world's top universities, consistently ranked in the world top 50, and placed 20th in the 2020 QS World University Rankings.
- This course is offered on a full-time and part-time basis also.
- This MSc is taught at the UK's longest established center for artificial intelligence, which remains one of the best in the world.
- The aim of this program to give the fundamental knowledge and practical skills needed to design, build, and apply AI systems in students' chosen areas of specialization.
- Students will also learn research methods to prepare for their final project and dissertation, which is completed during the summer.
- In this program, the compulsory courses are:
- Informatics Research Review
- Informatics Project Proposal
- Dissertation
- The University of Edinburgh is known to be the sixth oldest university in Scotland.
- The university comprises five campuses, namely Central area, King's building, and BioQuarter, Western General, and Easter Bush.
- The faculty and student ratio for this program is 1:83.
- The average salary goes up to 41,280 USD after completing this program.
- The Employment rate of the University of Manchester is 94%.
Important Dates
Event | Application Date |
---|---|
Application Deadline for 2024 Intake | Jul 31, 2024 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $52352 (GBP 40900) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Housing and Food | $13210 (GBP 10320) |
Total Cost | $13210 (GBP 10320) |
Cost of one year is 41925 Euros
Eligibility & Entry Requirement
Academic Eligibility:
- Applicants have a UK 2:1 honors degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics, or psychology.
- Students must be qualified in IELTS or TOEFL and PTE to get admission in this program.
Indian Student Eligibility:
Indian students are eligible to apply if they meet one of the following eligibility criteria:
- Completed a 4-year UG degree with first class in a relevant field from a recognized institution.
- Or, completed a B.Sc (General) degree from a recognized institution.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.
Scores Required
Required Document List
The Documents required are:
- Higher Secondary School Certificate - The certificate provided by the education board after completion of the Higher secondary education.
- Statement of marks - The marks statement provided by the education board.
- Financial Documentation - The Proof that shows the financial background of the student.
- Letter of Recommendation - This shows who recommended the student to pursue the degree.
- Statement of Purpose - This is an essay or any written statement written by the student while applying.
- Resume/CV - This provides a summary of your experience and skills.
- English Language Requirement Scores like TOEFL, IELTS,..etc.
- Exam scores like GMAT, GRE are to be submitted.
Similar Programs
Program | Important Date | Total Fees | Median Exams Score | Action |
---|---|---|---|---|
Application Deadline for 2024 Intake (31st Jul 2024) | USD 45,184 /Yr GBP 35,300 /Yr |
| ||
Application deadline for 2025 Intake (5th Apr 2025) | USD 52,480 /Yr GBP 41,000 /Yr |
| ||
Final Application Deadline For 2024 Intake (26th Jul 2024) Application Deadline For 2025 Intake (10th Mar 2025) | USD 45,112 /Yr GBP 35,244 /Yr |
| ||
USD 49,408 /Yr GBP 38,600 /Yr |
|
Course Guides
1 Year Masters Programs in UK: Best Universities, Popular Programs, and Admissions
Best Courses in UK for Indian Students
Masters in Artificial Intelligence in UK: 2023 Fees, Top Universities, Placement, Scholarships
Masters in Data Analytics in UK: Deadlines, Fees, Eligibility, Jobs
Career and Placement after Course
The students are well prepared for both employment and academic research. The emphasis is on practical techniques for the design and construction of intelligent systems, preparing graduates to work in a variety of specialisms, from fraud detection software to recommendation systems and assistive robots.
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
GREAT Scholarship | Scholarship per student$ 12,800/Yr$10,000 | Level Of StudyMaster | TypeCollege-Specific | |
GREAT Scholarship 2023 | Scholarship per student$ 15,351/Yr$11,993 | Level Of StudyMaster | TypeCollege-Specific | |
Chevening Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
University of London Scholarships | Scholarship per studentVariable Amount | Level Of StudyApprenticeship | TypeMerit-Based | |
JN Tata Endowment Scholarship | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based | |
Commonwealth Shared Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based |
College Student Profiles
Programs Comparison
ranking | # 21 for Artificial Intelligence and Machine Learning by QS World University 2024 | # 201 for Sciences by Academy Ranking of World Universities 2022 |
application | - | - |
why to opt? | This MSc is taught at the UK's longest established centre for artificial intelligence, which remains one of the best in the world. Many of the courses will be taught by internationally known researchers spanning a wide range of areas in artificial intelligence and also drawing on research in related fields such as neuroscience, cognitive science, linguistics, and mathematics. The program aims to give you the fundamental knowledge and practical skills needed to design, build, and apply AI systems in your chosen area of specialisation | The MSc Artificial Intelligence covers the theoretical underpinning of a wide variety of AI-related techniques including data and text mining, machine learning, reasoning, natural language generation, knowledge representation, and distributed AI systems as well as the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems. You will learn how to engineer and evaluate AI systems and also engage in debates around the legal and ethical issues involved in the ethics of AI technology. The programme culminates with a research project, which you will undertake under the supervision of a member of staff and can also be undertaken with an external company or organisation. Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems or comparing competing techniques or tools to solve a particular problem. The skills and knowledge you will learn on this programme is shaped by the latest research in AI. The University of Aberdeen has over 30 years’ of experience, and a worldwide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems. Data and AI is one of five interdisciplinary research priorities for the University of Aberdeen and the department has strong links with the University's Centre for Data and Artificial Intelligence |
exam scores | GRE - 298/340IELTS - 6.0/9PTE - 56/90TOEFL - 92/120 | IELTS - 6.0/9PTE - 54/90TOEFL - 80/120 |
Admission Criteria/Better to Have | A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics or psychology. | For State and Central Universities a minimum of 60% for programmes requiring a 2.2 degree. For Private and Deemed Universities a minimum of 65% for programmes requiring a 2.2 degree. |
cost to study | Total Cost (Tuition + Living) -USD 53664 | Total Cost (Tuition + Living) -USD 26599.68 |
application dates | Jul 31, 2024 (Application Deadline for 2024 Intake) | Nov 26, 2024 (Application Deadline For January 2025 Intake) |
- | Read Full Comparison |
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