MSc in Artificial Intelligence with Industrial Placement
A postgraduate programme designed to prepare high-quality professionals for the evolving AI industry.
Best for:Best for graduates in Computer Science, Engineering, or Mathematics seeking to bridge the gap between academic AI theory and industrial application.
Overview
This Master's programme at Ulster University focuses on developing advanced technical expertise in artificial intelligence. The curriculum combines rigorous academic study with a practical industrial placement, ensuring students gain both theoretical knowledge and real-world experience. Participants engage in lectures, tutorials, and laboratory work, culminating in a significant research project. The course is specifically designed to equip graduates with the skills necessary to excel in the competitive AI sector.
What you'll do
- Attend and participate in timetabled lectures, tutorials, and practical laboratory sessions.
- Complete core taught modules covering advanced artificial intelligence concepts.
- Undertake a professional industrial placement during the second year of the programme.
- Conduct an independent research project during the third semester.
- Meet all academic requirements and assessment criteria for the Master's level qualification.
Requirements
Degree required: Upper second class honours degree or better in Computer Science, Software Engineering, Electronic/Electrical Engineering, Mathematics, Physics, or a closely related discipline.
Degree offered: MSc
Language: English; Academic IELTS 6.0 (no band < 5.5), Trinity ISE Level III, or equivalent.
Instruction: English
- Strong academic background in a STEM discipline
- Proficiency in written and spoken English
- Ability to engage with complex technical and mathematical concepts
- Hold an upper second class honours degree or equivalent qualification
- Meet English language proficiency standards
- Alternative entry via substantial experiential learning and portfolio evidence may be considered
Funding & terms
Programme and admissions
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- Intake
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- Taught / research mode
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How to apply
Applications are submitted directly through the university's online portal. It is recommended to apply at least two weeks prior to the intended start date to allow for processing and pre-enrolment tasks.
- Academic transcripts
- Proof of English language proficiency
- Portfolio of evidence (if applying via experiential learning route)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.