MSc Artificial Intelligence

1 Year On Campus Masters Program

Queens University Belfast

Program Overview

This MSc offers an immersive, one-year full-time (or up to three-year part-time) deep dive into artificial intelligence—covering both the foundational mathematics and the latest applied techniques. It’s ideal for students who have a strong background in computing, mathematics, engineering or a related discipline and are keen to build or advance a career as AI engineers, researchers or developers of intelligent systems.

Curriculum Structure
Year 1: In this first (and only) year of full-time study, students begin with foundational modules such as Foundations of AI (covering probability, statistics, calculus, linear algebra and optimisation) and Knowledge Engineering (introducing ontology, logic, reasoning under uncertainty) to build the theoretical base.
Then they progress to modules like Machine Learning (studying classical and modern algorithms, their implementation and evaluation) and Natural Language Processing (deep learning models for text/speech, case-studies) and Computer Vision (image/video analysis with DNNs) to focus on applied techniques.
Finally they undertake a themed research project in one of the school’s active areas (e.g., AI for health, vision, knowledge-engineering, NLP) which gives them an opportunity to apply what they’ve learnt in a substantial piece of independent work.

Focus areas:
Artificial intelligence theory; machine learning algorithms; knowledge engineering; computer vision; natural language processing; AI for health; data-driven system design and deployment.

Learning outcomes:
Graduates will gain the ability to analyse and apply advanced AI methods, implement AI systems (including machine learning, vision, NLP, knowledge-based techniques), critically evaluate outcomes, and undertake independent project work that mirrors real-world AI challenges.

Professional alignment (accreditation):
The programme is housed in Queen’s University Belfast’s School of Electronics, Electrical Engineering and Computer Science (EEECS). While the specific accreditation body isn’t explicitly listed on the public overview, the school is active in AI research and industry-collaboration via the AI Collaboration Centre which supports postgraduate AI masters programmes.

Reputation (employability rankings):
Queen’s is a prestigious UK university (Russell Group) and the MSc in Artificial Intelligence appears on recognised postgraduate ranks (for example in Top Universities listing) with international tuition around £25,800 for non-UK students.

Experiential Learning (Research, Projects, Internships etc.)

Students who join the MSc in Artificial Intelligence at Queen’s University Belfast engage in a dynamic programme that interweaves theory, hands-on practice and research-informed application. Through lab-based learning, project work and access to specialist AI-dedicated environments, learners develop proficiency in core AI domains—such as machine learning, knowledge engineering, computer vision and natural language processing—and apply that in real-world contexts. The programme is supported by modern computing labs, a dedicated AI lab and a research community through the university’s AI Collaboration Centre, ensuring that students are not just learning about AI, but doing it.

They move from foundational mathematics and programming into applied modules and a themed research project, collaborating in teams, using industry-standard software, and tackling problems drawn from current research and application areas. By the end of the year they have developed both the technical depth and the professional readiness to enter the AI field.

Key experiential components include:

Specialist facilities & computing labs: Teaching and lab-work take place in the Computer Science Building (opened 2016) which includes large, well-equipped computing labs and a dedicated AI Lab for group and project work.
Project and team-based work: Students undertake both taught modules and a themed research project where they work in small teams or individually to address topics such as natural language processing, computer vision or AI for health.
Use of advanced software and AI tools: Modules such as Machine Learning and Natural Language Processing require students to apply programming (e.g., Python and relevant libraries), algorithmic design and data-driven approaches to real datasets.
Research-informed curriculum & industry links: The programme draws on the university’s research strengths in AI and benefits from the AI Collaboration Centre (AICC) which supports collaborative innovation between the university and industry.
Flexible delivery & support infrastructure: Students may take the programme full-time (1 year) or part-time (2+ years); all modules are supported via a virtual learning environment (Canvas) with resources, labs, tutorials and project supervision.
Applied focus and professional readiness: From the first module (Foundations of AI) through to advanced modules (e.g., AI for Health, Cyber-AI), students progress into applied contexts where they are prepared to develop solutions for real-world challenges.

Progression & Future Opportunities

Graduates from the Queen’s University Belfast MSc in Artificial Intelligence enter an accelerated pathway into technical roles such as AI Engineer, Machine Learning Specialist, Data Scientist or AI Research Engineer—and often bring the credentials to move into senior positions or doctoral research. These graduates stand well-positioned for careers in sectors spanning healthcare, finance, autonomous systems, digital services and beyond:

Students benefit from a full suite of support and industry-connected opportunities:

Career, Employability & Skills Services at Queen’s provide CV building, interview preparation, employer-networking events and job-search guidance tailored for postgraduate tech students.
Industry relevance and demand: The course page emphasises strong demand for specialist AI graduates, with modules aligned to current industry needs.
University–industry partnerships: Through the AI Collaboration Centre at Queen’s, supported by Northern Ireland’s Department for Economy, students gain exposure to funded postgraduate AI programmes and an ecosystem of industry-academia collaboration.
State-of-the-art facilities: The Computing Building includes dedicated AI labs, large computing labs, project spaces and the latest hardware/software infrastructure to support AI, computer vision, NLP projects and research.
Long-term accreditation value: While specific accreditation isn’t listed, the curriculum explicitly covers foundational AI mathematics, machine learning, knowledge engineering, NLP, computer vision and applied AI for health—skills that remain highly relevant, globally recognised and transferrable across sectors.
Graduation outcomes: Graduates complete a large-scale research dissertation (15,000-20,000 words) as part of the MSc, building both a portfolio of work and relevant experience for employers or for progressing into research.

Further Academic Progression:
After this MSc, students can choose to move into a PhD in Artificial Intelligence, Machine Learning or Autonomous Systems—Queen’s strong research groups and the AI Collaboration Centre link would support that. Alternatively, they could pursue professional certifications or postgraduate diplomas in specialised areas (for example: AI in healthcare, advanced data science, computer vision, or ethical AI governance), positioning themselves for leadership, research or consultancy roles in industry.