Artificial Intelligence with or without Industrial Placement
This is a specialist programme with the core aim of preparing students with skills in Artificial Intelligence (AI) that are in high demand nationally and internationally. AI has applications in almost every industry sector including health, financial technology, advanced manufacturing, media, energy, civic society, and public policy.
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.
Course content is informed by our world-leading and internationally excellent research and strong industry partnerships. Graduates can progress into a wide variety of careers across industrial settings and application domains, or can embark upon PhD research studies.
Work placement / study abroad
The course doesn’t require placement experience.
There are opportunities in the course for you to participate in research and industry related projects in the IoT domain through our two Innovation centres BTIIC and CHIC.
BTIIC is the BT Ireland Innovation Centre (BTIIC) in collaboration with Ulster University and BT. The centre aims to invent new ways of using data analytics, artificial intelligence and the IoT, through two work streams of Intelligent System and IoT.
CHIC is the Connected Health Innovation Centre is funded by Invest NI to support business led research in the area of connected health, with focus on data analytics and IoT. The centre currently has over 30 national and international member companies with both technical expertise and clinical experience.
We also have strong links with IAESTE (International Association for the Exchange of Students for Technical Experience). It provides students industry placement opportunities from six weeks to 1 year in one of 80 countries linked with the Association.
Industrial Placement available full-time only.
For further course details please see "Course Web Page".
Subjects taught
Students will study the following modules;
• Statistical Modelling & Data Mining
• Autonomic Computing & Robotics
• Machine Learning
• Deep Learning and Its Application
• Big Data & Infrastructure
• Knowledge Engineering & Computational Creativity
Optional Modules
• Masters Project
• Masters Applied Research Project
Entry requirements
Standard entry conditions
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 dates
Your Application
Application is through the University's online application system (see "Application Weblink").
Enrolment dates
Start Dates: September 2024 and January 2025
Post Course Info
Career options
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.