MSc in Artificial Intelligence
Prepare for a career in AI with a rigorous programme blending theory, practical skills, and industry-relevant projects.
Best for:Best for graduates in Computer Science, Engineering, Mathematics, or related fields seeking to specialise in AI with a balance of theoretical knowledge and practical application.
Overview
The MSc in Artificial Intelligence at Ulster University offers a structured pathway to develop expertise in AI technologies and applications. Taught by industry experts, this programme combines core AI principles with hands-on experience in software engineering, data analysis, and machine learning. Students engage in both classroom learning and a substantial research project, ensuring practical exposure to real-world challenges. The curriculum is designed to equip graduates with the skills needed to thrive in the AI-driven job market, fostering innovation and problem-solving abilities. Applicants should be ready to commit to a blend of lectures, tutorials, and independent research to achieve their academic and professional goals.
What you'll do
- Attend lectures and tutorials covering core AI concepts, including machine learning, data analysis, and AI algorithms.
- Participate in practical sessions and labs to apply theoretical knowledge to real-world AI problems.
- Complete a substantial research project in the final semester, focusing on an AI-related topic of interest.
- Engage in group work and collaborative projects to develop teamwork and communication skills.
- Develop and refine AI models, algorithms, and software solutions under academic supervision.
- Present research findings and project outcomes in a structured and professional manner.
Requirements
Degree required: A second-class honours degree (or equivalent) in Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics, or a closely related discipline from a recognised institution.
Language: English; Academic IELTS 6.0 with no band score less than 5.5, or equivalent (e.g., Trinity ISE: Pass at level III).
Instruction: English
- Strong foundation in programming and problem-solving skills.
- Basic understanding of mathematics and statistics.
- Competence in written and spoken English (GCSE grade C or equivalent).
- Ability to work independently and collaboratively in a structured academic environment.
- Applicants must have a second-class honours degree or equivalent in a relevant field.
- English language proficiency requirement for non-native speakers.
- Substantial experiential learning may be considered as an alternative entrance route in exceptional circumstances.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: flexible (advised to apply two weeks prior to course start date)
Applicants can apply directly to Ulster University at any time of the year. The application process involves submitting an application form, academic transcripts, proof of English proficiency, and a personal statement. Additional selection criteria, such as interviews or portfolio submissions, may apply for specific programmes, so it is advisable to check the course page for details.
- CV/Resume
- Academic transcripts (Bachelor's degree)
- Proof of English proficiency (IELTS or equivalent)
- Personal statement or statement of purpose
- Portfolio or evidence of relevant work (if applicable)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.