MSc Artificial Intelligence
- Entry year
- 2026/27
- Entry requirements
- Bachelor degree (see further details below)
- Duration
- 1 year (Full-time)
- Places available
- Open
Overview
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.
Course Highlights
In-Depth Learning: Build a solid understanding of AI fundamentals and advanced topics that are shaping the future of technology.
Practical Experience: Learn through a combination of lectures, tutorials, and practical projects that allow you to apply AI techniques using industry-relevant tools and frameworks.
Research and Innovation: Opportunity to undertake a major research or project piece, putting into practice the skills you’ve developed throughout the programme.
Career-Focused: Designed to support global career opportunities, from AI development and data science to research and advanced technical consulting.
Course content
MSc Artificial Intelligence students will study the following modules:
- Foundations of AI (20 credits)
- Machine Learning (20 credits)
- Knowledge Engineering (20 credits)
- Computer Vision (20 credits)
- Natural Language Processing (20 credits)
- Artificial Intelligence for Health (20 credits)
- Themed Research Project (60 credits)
Through individual and group project work, you will gain experience tackling authentic problems, designing intelligent systems, and communicating technical solutions effectively - skills that are highly valued by employers worldwide.
Entry Requirements
Academic Requirements
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.
Applicants are advised to apply as early as possible.
English Language Requirements
Evidence of an IELTS score of 6.5, with not less than 5.5 in any component, or an equivalent qualification. Taken within the last 2 years.
Accepted English Language Requirements
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.
Careers
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)
Careers Support
CMI Level 5 Certificate
Alongside your Master’s, you’ll have the opportunity to complete a CMI Level 5 Certificate in Management and Leadership. This internationally recognised qualification is designed to help you build leadership confidence and boost your professional profile.
Queen’s Graduate Jobs India
Queen’s Graduate Jobs India is a dedicated support service for students at our GIFT City campus. You’ll benefit from one-to-one career coaching, targeted job-matching with Indian employers, profile-building support and expert guidance to help you move from study to career with confidence.
Fees & Funding
Tuition Fees
£15,700
Tuition fees relate to a single year of study and may be subject to annual inflationary increases.
Additional Costs
Depending on the programme of study, there may be extra costs which are not covered by tuition fees. Students should consider budgeting for learning materials, personal study devices, and printing.
Scholarships
Generous scholarships for 2026 entry will launch in March 2026. Find out more about scholarships.
How to apply
Apply using the online application portal and follow the step-by-step instructions.
Terms and Conditions
- To apply to study at our GIFT City Campus, you must hold Indian, Nepalese or Bhutanese citizenship
- Due to high demand, there is a deadline for applications.
- This condition of offer is in addition to any academic or English language requirements