Course Summary
The course provides knowledge and skills in deep learning, data mining, machine learning, big data, automatic computing, robotics, knowledge engineering, and data analytics in the context of AI with the use of state-of-the-art tools.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
To apply to our postgraduate taught programmes, you must meet the University’s General Entrance Requirements and any course-specific requirements.
Entry Requirements
Applicants must:
(a) have gained
(i) a second class honours degree or equivalent, in the subject areas of computing, engineering, mathematics or related discipline; or
(ii) demonstrate their ability to undertake the course through the accreditation prior experiential learning
and
(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). The minimum requirement for international students for this course is Academic IELTS 6.0 with no band score less than 5.5.
Application Details
Your Application
Application is through the University's online application system (see "Application Weblink").
Start Dates: September 2024 and January 2025
Fees
Application is through the University's online application system (see "Application Weblink" below).
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
AI is at the centre of Industry 4.0 – The Fourth Industrial Revolution. Many countries, including the UK, US and China, have taken AI as a priority area for research and development. The UK government and industry have committed to spend nearly £1 billion on AI based on the recommendations made by Wendy Hall, Regius Professor of computer science at the University of Southampton and Jérôme Pesenti, vice-president of AI at Facebook, in their review of the UK’s AI industry.
AI has applications in almost every industry sector including, but not limited to, Health, Financial Technology, Advanced Manufacturing, Media, Energy, Civic Society and Public Policy. Graduates from the course will be well placed to progress into a career across a range of industrial settings in these sectors. The School have active Industry engagement and links with vibrant technology sector in Northern Ireland. Graduates from the course also have opportunity to embark on further research at the Ph.D. level.