Course Summary
The programme is a Level 9, Master of Science in Applied Artificial Intelligence with an exit award of a Postgraduate Diploma in Applied Artificial Intelligence. The programme has been proposed, designed and developed to meet the current and expected growth, both nationally and internationally, in Artificial Intelligence
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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
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or higher) and a minimum of 5 years verifiable relevant industrial experience.
Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.
Shortlisted applicants who do not meet the standard entry requirements will be invited for interview.
EU and International graduates whose qualifications are in line with the Bologna agreement or the international NARIC system for Level 8 comparison.
Candidates, for whom English is not their primary language, should possess an IELTS score of 6.0, with no individual section lower than 6.0 or equivalent recognized English language test.
Application Details
NEXT INTAKE
September 2024
Fees
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
Graduates are well positioned to apply to related fields of study at Master and PhD levels.
Potential employment opportunities:
Students will be able to take on a wide range of roles, including but not limited to data analytics and architecture, software engineering, and machine and deep-learning engineering. The added focus specific to this programme of embedding the algorithms in reallife and physical contexts opens a much wider avenue of employability.
Advanced roles may specialise in areas such as computer vision, language and speech, A.I. architecture and applied machine learning engineering; all roles where expertise and tenacity are required to figure out how to deploy solutions to the real world.