Artificial Intelligence - with or without Applied Research
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Ulster University - Belfast

Artificial Intelligence - with or without Applied Research

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.

For further course details please see "Course Web Page" below.

Entry requirements

To apply to our postgraduate taught programmes, you must meet the University’s General Entrance Requirements and any course-specific requirements.

These vary depending on the course and are detailed online.

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. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.

If English is not your first language this course requires a minimum English level of IELTS (academic) 6.0 with no band score less than 5.5, or equivalent.

Visit ulster.ac.uk/englishrequirements for more details.

This course is open to international (non-EU) students (full-time only).

For full entry requirements please see "Course Web Page" below.

Application dates

Your Application
Application is through the University's online application system (see "Application Weblink" below).

Duration

Full-Time/Part-Time. Applied Research available full-time only.

Enrolment dates

Start Dates: September 2023 and January 2024.

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. The new MSc in Artificial Intelligence will strive to address the growing demands being placed on the sector by training computing professionals to follow a career either in industry or academia. The course provides opportunities for training and development of the skills required to contribute to the local and global industrial opportunities that AI offers. 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.

More details
  • Qualification letters

    MSc with Applied Research/MSc/PGDip

  • Qualifications

    Postgraduate Diploma at UK Level 7,Degree - Masters at UK Level 7

  • Attendance type

    Full time,Part time,Daytime

  • Apply to

    Course provider