Course contact details
Faculty of Engineering and Physical Sciences
Email:askeps@qub.ac.uk
Queen's University Belfast
University Road
Belfast
BT7 1NN
Robotics and Artificial Intelligence (AI) (Taught)
- MSc
- 1 Years
- Full-time
- September 2026
- Postgraduate
- Distance learning
- Awarded by:
- Queen’s University Belfast
Course summary
Robotics & AI is designed to prepare students to embark on an industrial career or further research studies in academia, with knowledge and skills in Robotics, Mathematics, AI, Machine Learning, Mechatronics, Computer Vision, and control, estimation and identification of dynamical systems. They will gain experience in applying the AI and system-theoretic knowledge and skills to develop engineering applications within robotics.
Its extensive programme is based on both fundamental theory and applications. It provides the necessary tools for a successful career path in industries, and is also preparing students aspiring to embark on postgraduate research studies.
How to apply
International applicants
Evidence of an IELTS* score of 6.0, with not less than 5.5 in any component, or an equivalent qualification acceptable to the University is required. *Taken within the last 2 years.
Entry requirements
Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Computer Science, Software Engineering, Electrical and/or Electronic Engineering, Mechanical Engineering, Mathematics with Computer Science, Physics with Computer Science or a related discipline.
Applicants must normally have achieved 2:1 standard or above in relevant modules.
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.
All applicants will be expected to have very good mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification.
The University's Recognition of Prior Learning Policy provides guidance on the assessment of experiential learning (RPEL). Please visit the link below for more information.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
Additional fee information
For tuition fee information relating to this course please see the University's Postgraduate Tuition Fee website - https://www.qub.ac.uk/Study/postgraduate/tuition-fees/
Sponsorship information
For more information on funding and scholarships for Postgraduate study, please see http://www.qub.ac.uk/Study/PostgraduateStudy/FundingandScholarships/
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