Expand+Deadlines for on-time applications

2023 entry application deadlines

For courses starting in 2023 (and for deferred applications), your application should be with us at UCAS by one of these dates – depending on what courses you apply for. If y...

Hide-Deadlines for on-time applications

2023 entry application deadlines

For courses starting in 2023 (and for deferred applications), your application should be with us at UCAS by one of these dates – depending on what courses you apply for. If your completed application – including all your personal details and your academic reference – is submitted by the deadline, it is guaranteed to be considered.

15 October 2022 for 2023 entry at 18:00 (UK time) – any course at the universities of Oxford and Cambridge, or for most courses in medicine, veterinary medicine/science, and dentistry. You can add choices with a different deadline later, but don’t forget you can only have five choices in total.

25 January 2023 for 2023 entry at 18:00 (UK time) – for the majority of courses.

Some course providers require additional admissions tests to be taken alongside the UCAS application, and these may have a deadline. Find out more about these tests.

Check course information in the search tool to see which deadline applies to you at the application weblink below.

Apply as soon as possible: Student funding arrangements mean that as offers are made and places fill up, some courses may only have vacancies for students from certain locations. It’s therefore really important that you apply for your chosen courses by the appropriate deadlines mentioned above, as not all courses will have places for all students.

Start date: September 2023.

Expand+Irish Leaving Certificate
112 UCAS tariff points to include a minimum of five subjects (four of which must be at higher level) to include English at H6 if studied at Higher level or O4 if studied at Ordinary Level.

Course Specific Subject require...

Hide-Irish Leaving Certificate
112 UCAS tariff points to include a minimum of five subjects (four of which must be at higher level) to include English at H6 if studied at Higher level or O4 if studied at Ordinary Level.

Course Specific Subject requirements

This course also requires you to achieve H2 in one of the following: Mathematics, Physics, Chemistry, Biology, Computing, Technology or Engineering.

If Mathematics is not passed at H2, you will be required to achieve a minimum of H6 if studied at Higher level or O4 if studied at Ordinary Level in addition to one of the subjects above.

Entry equivalences can also be viewed in the online prospectus at http://www.ulster.ac.uk/apply/entrance-requirements/equivalence

Expand+Overview
Gain the skills to design and develop the next generation of Artificial Intelligence (Al) systems and services.

Summary
Increased use of Artificial Intelligence (Al) can bring major social and economic benefits by automating tasks curre...

Hide-Overview
Gain the skills to design and develop the next generation of Artificial Intelligence (Al) systems and services.

Summary
Increased use of Artificial Intelligence (Al) can bring major social and economic benefits by automating tasks currently done by humans. AI computers can analyse and learn from information at higher accuracy and speed than humans can. It offers massive gains in efficiency and performance to most or all industry sectors, for example in Health, Financial Technology, Advanced Manufacturing, Social Media. Al is software that can be integrated into existing processes, improving them, scaling them, and reducing their costs, by making or suggesting more accurate decisions through better use of information. Artificial Intelligence has also been a main focus of Computer Science research at Ulster University for over 25 years, and we are uniquely positioned to deliver this degree course.

About
This course will develop your employability skills by:
• providing you with a broadly-based education in AI and its related technologies which will equip you with the knowledge and skills to select and apply appropriate AI techniques to a particular domain.
• providing a systematic study of the theory and principles of AI, which includes fundamental theoretical computer science, mathematics, programming and software engineering.
• developing your competence in the use of programming languages for the production of AI and Machine Learning software components.
• developing your ability to analyse problems, reason a solution, and represent the knowledge using suitable AI methods and computational techniques.
• providing opportunities for the development of practical and team-based skills in applying AI in an industrial context.

Expand+Assessment methods vary and are defined explicitly in each module. Assessment can be via one method or a combination e.g. examination and coursework . Assessment is designed to assess your achievement of the module’s stated learning outcomes. You c...

Hide-Assessment methods vary and are defined explicitly in each module. Assessment can be via one method or a combination e.g. examination and coursework . Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessment. The precise assessment will depend on the module and may be subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.

Coursework can take many forms, for example: essay, report, seminar paper, test, presentation, dissertation, design, artefacts, portfolio, journal, group work. The precise form and combination of assessment will depend on the course you apply for and the module. Details will be made available in advance through induction, the course handbook, the module specification and the assessment timetable. The details are subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.

Normally, a module will have four learning outcomes, and no more than two items of assessment. An item of assessment can comprise more than one task. The notional workload and the equivalence across types of assessment is standardised.

Expand+Work placement / study abroad
All students normally spend one year on industrial placement (Year 3) working in some aspect of the computing/engineering industry for a minimum period of 25 weeks. On satisfactory completion of the placement period, yo...

Hide-Work placement / study abroad
All students normally spend one year on industrial placement (Year 3) working in some aspect of the computing/engineering industry for a minimum period of 25 weeks. On satisfactory completion of the placement period, you are eligible for the award of Diploma in Professional Practice (DPP). Students who complete their industrial placement abroad receive the award of Diploma in Professional Practice (International).

Alternatively, students may apply to study abroad in another academic institution for a year. Satisfactory completion leads to the Award of Diploma in International Academic Studies (DIAS).