About Master’s in Artificial Intelligence Abroad
An MS in Artificial Intelligence abroad could be a perfect launchpad for those who want to build a career in this crucial and potentially revolutionary technology.
This program opens many lucrative opportunities for graduates. In fact, according to the World Economic Forum, Artificial Intelligence is set to create over 97 million new jobs by 2025.
The USA, UK, Singapore, Switzerland, Canada, Australia, and Mainland China are some of the top countries that offer Master’s in Artificial Intelligence.
AI graduates can earn as much as $103,000 per annum or more as freshers in the industry by working with tech giants like NVIDIA, Apple, Google, etc.
Read the blog below to learn more about a master’s in Artificial Intelligence and its scope at a global scale.
Top Countries To Study an MS In Artificial Intelligence
Here are the top 3 countries you can consider to study an MS in Artificial Intelligence:
- United States of America (USA)
According to QS World University Rankings by Subject 2024: Data Science and Artificial Intelligence, the USA is one of the top countries to study Master’s in Artificial Intelligence.
Some globally ranked universities in the USA for their MS in Artificial Intelligence programs are MIT, Carnegie Mellon University, University of California Berkeley, Harvard University, University of Washington, Georgia Institute of Technology, University of Illinois at Urbana Champaign, and Princeton University.
As per Standford University’s Index Report of 2024, US universities alone contribute 40% of global AI publications. This highlights their leading role in AI research.
- United Kingdom (UK)
According to Top Universities, the UK is home to some of the world’s best and highest-ranking universities for AI and Computer Science.
These universities excel in employer reputation and AI research. The University College London (UCL) ranked #24 globally and #2 in the UK for its research impact on AI.
Graduating from these top UK universities increases one’s credit and opens various employment opportunities for students. According to Top Universities, the University of Manchester ranks #21 globally for demonstrating the high value placed on its graduates in the job market and for its employer reputation.
- Australia
Like the other top countries to study MS in Artificial Intelligence, Australia also houses many of the highest-ranking AI research universities.
Some of these universities include The University of Melbourne, Monash University, University of Technology Sydney, The University of Sydney, Macquarie University, Australian National University, and The University of New South Wales.
These top universities in Australia are also known for their research contributions in various fields, including Artificial Intelligence. The University of Technology, Sydney, has more than 90 research centers.
Australia is also home to a pool of diverse international students. Since 2002 to January 2024, over 68 lakh international students have enrolled in education programs in Australia. One of the many reasons why it’s a popular destination for students is that the country offers post-study work visa options for up to three years.
Top universities in the world for MS In Artificial Intelligence
Here are the top universities in the world for MS in Artificial Intelligence:
Top universities in the USA for MS In Artificial Intelligence
| US Universities | QS World University Ranking 2025 | QS World Ranking by Subject 2024 (for Data Science and Artificial Intelligence) | Relevant Master’s Programs Offered | Program Duration (Full-time/Part-time in years) | Program Intake | GRE Requirement |
| MIT | 1 | 1 | MS in AI and Decision Making, MS in Computer Science and Engineering | 1-2 years / 2-3 years | September | Required |
| Carnegie Mellon University | 58 | 2 | MS in AI, MS in Machine Learning | 1-2 years / 2-3 years | August | Required |
| University of California, Berkeley | 12 | 5 | MS in AI, MS in Computer Science | 1-2 years / 2-3 years | August | Not Required |
| Harvard University | 4 | 7 | MS in Data Science, MS in Computational Science and Engineering | 1-2 years / 2-3 years | August | Not Required |
| University of Washington | 76 | 8 | MS in AI, MS in Computer Science and Engineering | 1-2 years / 2-3 years | September | Required |
| Georgia Institute of Technology | 114 | 28 | MS in Computer Science (AI specialization) | 1-2 years / 2-3 years | August | Required |
| University of Illinois Urbana-Champaign | 69 | 25 | MS in Computer Science (AI Track), MS in Information Systems | 1-2 years / 2-3 years | August, January | Required |
| Princeton University | 22 | 14 | MS in Computer Science, MS in Operations Research and Financial Engineering | 1-2 years / 2-3 years | September | Required |
Top universities in the UK for MS In Artificial Intelligence
| University | QS World University Ranking 2025 | QS World Ranking by Subject 2024 (for Data Science and Artificial Intelligence) | Relevant Master’s Programs Offered | Program Duration | Program Intake | GRE Requirement |
| University of Oxford | 3 | 4 | MSc in Advanced Computer Science | 1 year full-time | October | Not required |
| University of Cambridge | 5 | 8 | MPhil in Machine Learning and Machine Intelligence | 1 year full-time | October | Not required |
| Imperial College London | 2 | 16 | MSc in Artificial Intelligence | 1 year full-time | October | Not required |
| The University of Edinburgh | 27 | 20 | MSc in Artificial Intelligence | 1 year full-time/ 2-3 years part-time | September | Not required |
| University College London | 9 | 22 | MSc in Computational Statistics and Machine Learning | 1 year full-time/ 2-5 years part-time | September | Not required |
| King’s College London | 40 | 61 | MSc in Artificial Intelligence | 1 year full-time/ 2 years part-time | September | Not required |
| The University of Manchester | 34 | 64 | MSc in Artificial Intelligence | 1 year full-time | September | Not required |
Top universities in Australia for MS In Artificial Intelligence
| University | QS World University Ranking 2025 | QS World Ranking by Subject 2024 (for Data Science and Artificial Intelligence) | Master’s Programs Offered | Duration | Intake | GRE Requirement |
| The University of Melbourne | 18 | 43 | Master of Computer Science, Master of Digital Infrastructure and Engineering, Master of Data Science, etc | 2 years full-time / 4 years part-time | Feb/ July | Not required |
| Monash University | 37 | 68 | Master of Artificial Intelligence, Master of Data Science, | 1.5 or 2 years full-time | Feb/ July | Not required |
| University of Technology Sydney | 88 | 73 | Master of Artificial Intelligence | 2 years full-time | November/ April | Not required |
| The University of Sydney | 18 | 43 | Master of Artificial Intelligence (AI Specialization) | 1.5 years full-time | March/ July | Not required |
| Macquarie University | 133 | 155 | Master of Information Technology in AI | 2 years full-time | February/ July | Not required |
| Australian National University | 30 | 55 | Master of Machine Learning and Computer Vision | 2 years full-time | February/ July | Not required |
| The University of New South Wales | 19 | 59 | Master of Artificial Intelligence | 2 years full-time | February/ September | Not required |
Course curriculum for MS In Artificial Intelligence abroad
The course curriculum for an MS in Artificial Intelligence abroad can vary for different countries or universities. However, the programs are typically categorized into core courses, electives, and practical components.
This provides students with theoretical foundations, research opportunities, and practical skills.
Here are some common elements across MS in Artificial Intelligence programs abroad.
| Program Elements | Courses | Details/ Subjects Included |
| Core Courses | Fundamentals of AI | AI principles, history, applications |
| Core Courses | Machine Learning | Algorithms, supervised and unsupervised learning, and practical applications |
| Core Courses | Deep Learning | Neural networks, convolutional and recurrent neural networks, and modern deep learning frameworks |
| Core Courses | Natural Language Processing (NLP) | Techniques for understanding and generating human language, sentiment analysis, and machine translation |
| Core Courses | Robotics | Introduction to robotics, including control systems, sensor integration, and autonomous systems |
| Core Courses | Computer Vision | Study of image processing, object recognition, and visual scene analysis |
| Core Courses | Ethics and AI | Examination of ethical considerations, bias in algorithms, and the societal impact of AI technologies |
| Electives and Specializations | Data Science | Data mining, big data analytics, and statistical methods |
| Electives and Specializations | Human-Computer Interaction | Exploration of user interface design, usability, and human factors in AI systems |
| Electives and Specializations | Healthcare AI | Applications of AI in medical imaging, diagnostics, and personalized medicine |
| Electives and Specializations | Finance and Business AI | Use of AI in financial modeling, fraud detection, and business intelligence |
| Electives and Specializations | AI in Climate Science | Leveraging AI for environmental monitoring, climate modeling, and sustainability efforts |
| Practical Components | Capstone Projects | Hands-on projects that allow students to apply AI techniques to real-world problems |
| Practical Components | Internships and Industry Placements | Opportunities to gain practical experience and industry exposure |
| Practical Components | Research Thesis | For students pursuing a research-oriented track involving deep investigation into a specific AI topic |
Eligibility for studying MS In Artificial Intelligence abroad
The criteria for studying an MS in Artificial Intelligence abroad can vary from university to university. However, most universities in the same country usually have many common requirements. For instance, UK universities offering an MS in Artificial Intelligence don’t generally require the GRE. Most universities in the USA, on the other hand, may require it.
Here are some common requirements that you must meet as an Indian student aspiring to study MS in Artificial Intelligence abroad:
| Eligibility Criteria | Detail |
| Educational Qualifications |
|
| Academic Test |
|
| English Language Proficiency |
Other requirements, in terms of producing relevant documents, include:
- Official transcripts from previous institutions
- 2-3 LORs (Letter of Recommendation)
- SOP (Statement of Purpose)
- A current resume/ CV
- Documentation to prove relevant work/ research experience
GMAT/GRE requirements For Studying MS In Artificial Intelligence Abroad
Many universities offering an MS in Artificial Intelligence abroad, don’t require you to submit your GRE scores. For instance, in the UK and Australia, top universities like Oxford, Cambridge, the University of Melbourne and the University of Sydney don’t require GRE.
However, some US universities accept GRE scores but don’t consider them compulsory. These universities offer waivers based on specific criteria.
Although it’s important to always check the official website of the intended university for specific details, here’s the minimum score range required by top US universities offering an MS in Artificial Intelligence:
- Quantitative: 162 – 166+
- Verbal: 155 – 160+
- Analytical Writing: 3.5 – 4.5+
Scholarships to study MS In Artificial Intelligence abroad
There are many merit and need-based scholarships for Indian students to study for an MS in Artificial Intelligence. Here are some of them:
| Scholarship Name | Eligibility | Scholarship Amount |
| Chevening Scholarships (UK) | Indian students with 2+ years of work experience | Full tuition, monthly stipend, travel |
| Fulbright-Nehru Master’s Fellowships (US) | Indian citizens with a bachelor’s degree and 3+ years of work experience | Tuition, living expenses, travel |
| Australia Awards Scholarships | Indian students with a bachelor’s degree | Full tuition, return air travel, establishment allowance, living expenses |
| Eiffel Excellence Scholarship Program (France) | Non-French nationality, under 30 years old | €1,181 monthly allowance, travel expenses, health insurance |
| Inlaks Shivdasani Foundation Scholarships | Indian students with a first-class degree | Up to $100,000 for tuition, living expenses, one-way travel |
NOTE: Please refer to the official websites for specific eligibility details and the scholarship amount, as it may vary based on your candidature.
Career scope of an MS In Artificial Intelligence abroad
The career scope of an MS in Artificial Intelligence abroad is highly promising and expansive. AI experts are in high demand across various industries such as finance, automotive, technology, and healthcare.
As an MS in AI graduate, you can pursue roles like Data Scientist, Robotics Engineer, Machine Learning Engineer, and AI Research Scientist. The World Economic Forum predicts that AI will create over 97 million new jobs by 2025. Similarly, the Bureau of Labor Statistics projects a 22% growth in information research and computer scientist jobs in the USA by 2030.
In the UK, professionals in the field of AI can earn between £35,000 and £70,000 per annum. Overall, MS in AI graduates acquire advanced skills that allow them to excel in today’s and tomorrow’s data-driven economy. This field offers diverse and lucrative career paths worldwide.
Top recruiters after MS In Artificial Intelligence abroad
After completing your MS in Artificial Intelligence abroad, you may find yourself working with the following companies:
- Apple
- JPMorgan Chase
- Microsoft
- NVIDIA
- Amazon
- Goldman Sachs
- IBM
- Accenture
- Tesla
- Deloitte
Job prospects and salaries offered after studying MS In Artificial Intelligence abroad
| Job Title | Average Salary Package |
| Software Engineer | $96,094 |
| Data Scientist | $95,136 |
| Machine Learning Engineer | $103,979 |
| Senior Software Engineer | $129,673 |
| Data Engineer | $95,506 |
| Senior Data Scientist | $117,438 |
| Senior Reservoir Engineer | $158,878 |
| Software Engineer / Developer / Programmer | $89,767 |
| Business Intelligence (BI) Analyst | $79,063 |
| Software Development Engineer (SDE) | $113,399 |
| Robotics Engineer | $88,640 |
| Product Manager, Software | $105,070 |
| Senior Machine Learning Engineer | $133,474 |
| Senior Business Analyst | $81,069 |
FAQs On MS In Artificial Intelligence Abroad
- What are the top universities for an MS in Artificial Intelligence abroad?
Ans. Some of the top universities for an MS in Artificial Intelligence abroad include Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, Technical University of Munich, Humboldt-Universität zu Berlin, Karlsruhe Institute of Technology, University of Cambridge, and the Chinese University of Hong Kong.
- What are the acceptance rates for AI programs at top universities abroad?
Ans. The acceptance rates for AI programs at top universities abroad may range from 4% (at Ivy League) to 50-70%.
- What are the job prospects after completing an MS in AI in the USA?
Ans. MS in AI graduates in the USA are in high demand for the following roles: AI Researcher/Scientist, Data Scientist, Machine Learning Engineer, AI Entrepreneur, AI Consultant, etc. They can also expect an initial annual salary of $103,000 or more.
- Which industries offer the highest salaries for AI professionals?
Ans. Technology, finance, healthcare, consulting, aerospace, automotive, aerospace, and manufacturing are some of the top industries offering AI professionals the highest salaries.
