Course summary
In the last decade the advances in Artificial Intelligence have made it at the forefront of technology, with many advances improving our daily lives. Such is its importance that AI has become a national priority in many countries, including the UK, US, China, and India. As a result, there is a huge demand for specialist graduates with advanced AI knowledge and skills. Studying Artificial Intelligence at Queen’s provides you with the building blocks required for a career in the AI sector, as a researcher or an engineer. COURSE STRUCTURE - Through a combination of lectures, tutorials, and practical learning you will investigate the fundamentals of AI and the latest AI technologies. By familiarising yourself with the main areas of AI that are already being used in industry you will be primed to push this learning even further. With each module acting as a building block that allows you to work towards a themed research project. ABOUT YOU – An analytical, curious, technical, and ambitious individual. You are ready to expand the horizons of what is possible. You will appreciate the growing demand for AI in the world and would seek to use these skills to further your career in this exciting and expanding area. Ideally, you will be a Computing graduate with strong programming skills and a solid background in mathematics.
Modules
For further information please see: https://www.qub.ac.uk/courses/postgraduate-taught/artificial-intelligence-msc/#course
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 International students wishing to apply to Queen's University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes.
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, 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 mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification. Applications may be considered from those who do not meet the above requirements but can provide evidence of recent relevant technical experience in industry, for example, in programming. The University's Recognition of Prior Learning Policy provides guidance on the assessment of experiential learning (RPEL). Please visit http://go.qub.ac.uk/RPLpolicyQUB 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/
Provider information
Queen's University Belfast
University Road
Belfast
BT7 1NN