MSc Artificial Intelligence
Artificial Intelligence is reshaping how the world works, from intelligent healthcare systems and autonomous technologies to financial modelling, smart cities, and advanced manufacturing. The MSc Artificial Intelligence at Queen’s University Belfast is designed to equip you with the technical expertise, practical experience and analytical mindset required to succeed in this fast-moving field.
You will develop a strong foundation in core AI principles while gaining hands-on experience with modern tools and techniques used across industry and research. The programme balances theory with application, enabling you to design, build and evaluate intelligent systems that address real-world challenges.
This programme is ideal for ambitious graduates seeking careers as AI engineers, machine learning specialists, data scientists, researchers, or technical leaders. You will explore key areas including machine learning, reasoning, computer vision, natural language processing, while developing the problem-solving and critical thinking skills required to work responsibly with AI technologies.
Intakes
- Sep
Application Processing Time in Days: 10
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Employability
Graduates of the MSc Artificial Intelligence develop advanced technical and analytical skills that are in high demand globally. The programme prepares you for roles that require both deep technical knowledge and the ability to apply AI responsibly in real-world contexts.
Graduate Outcomes
Graduates are equipped to work across a wide range of sectors including technology, finance, healthcare, engineering, research, government and emerging AI-driven industries, both in India and internationally.
Example Career Paths
- AI Engineer
- Machine Learning Specialist
- Data Scientist
- Research Associate
- Software Developer (AI applications)
Admission Requirement / Eligibility Criteria
- Applicants should normally hold a bachelor’s degree awarded by a recognised Indian institution with a final average of 58-60% or above (comparable to a UK 2.1 Honours degree), or an equivalent qualification acceptable to the University. Applicants who hold a 2.2 Honours degree and a Master’s degree (or equivalent qualifications acceptable to the University) in one of the above disciplines will be considered on a case-by-case basis.
- Applicants should have studied Computer Science, Engineering, Mathematics, Physics, or a related discipline, or have completed at least one module with significant computational or quantitative content. All applicants will be expected to have mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification.
Relevant professional experience in a technical or quantitative role may be considered on a case-by-case basis.
English Language Requirements
- Evidence of an IELTS score of 6.0, with not less than 5.5 in any component, or an equivalent qualification. Taken within the last 2 years.
- English in the Indian Standard XII may be accepted (CBSE/CICSE/Karnataka/Maharashtra/Tamil Nadu/West Bengal boards) with a score of 70% taken within 7 years of the expected course start date.
An official Digilocker verification document will be required. Please provide your Admit Card ID number to the University.
If you have completed a degree that was taught and assessed in English within the two years prior to your first enrolment at Queen’s University Belfast – GIFT City Campus, the University may be able to accept this as evidence of your English language proficiency.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
1836900 INR
Average Cost of Living: 500000 INR /year
Application Fee: N/A