Artificial Intelligence
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.
| Award Name | Degree - Honours Bachelor at UK Level 6 |
|---|---|
| NFQ Classification | |
| Awarding Body | Ulster University |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Honours Bachelor at UK Level 6 | Ulster University |
Duration
Four years, including placement.
Each student must complete 120 credits (usually six modules) in each academic year, with the exception of placement year (60 credits). Years 1, 2 and 4 are spent in the University. Modules are taught on campus and are web-supplemented. In Year 3, students undertake a year's work experience.
Entry Requirements
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 if studied at Higher level or O4 if studied at Ordinary Level.
Higher level subjects must include minimum H5 Mathematics and minimum H6 in one of the following - Physics, Chemistry, Biology, Computing, Technology or Engineering.
Irish Leaving Certificate UCAS Equivalency.
Careers / Further progression
Career options
AI skill sets are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. As a graduate in Artificial Intelligence, you will be well placed to progress into a wide variety of careers from large-scale established commercial enterprises to innovative technology start-ups with opportunities in large companies e.g. financial services firms, consumer retail firms, small and medium sized businesses or the public sector.
Further information
Start date: September 2024
Deadlines for on-time applications
2024 entry application deadlines
For courses starting in 2024 (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.
16 October 2023 for 2024 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.
31 January 2024 for 2024 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 at https://www.ucas.com/undergraduate/applying-university/admissions-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.
All applications received after 30 June are entered into Clearing - find out more about Clearing at https://www.ucas.com/undergraduate/clearing-and-results-day/what-clearing
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.
Here is a guide to the subjects studied on this course.
Courses are continually reviewed to take advantage of new teaching approaches and developments in research, industry and the professions. Please be aware that modules may change for your year of entry. The exact modules available and their order may vary depending on course updates, staff availability, timetabling and student demand. Please contact the course team for the most up to date module list.
Year 1
Software Development I
Software Development II
Database Systems
Computer Hardware and Operating Systems
Mathematics for Engineering I
Artificial Intelligence I
Year 2
Computer Networks & Security
UX
Object-oriented Programming
Algorithms and Data Structures
Mathematics for Engineering II
Professional Development
Artificial Intelligence II
Year 3
Professional Practice - Computing
International Academic Studies - Optional
Year 4
Cyber Security
Intelligent Robotics
Computer Vision
Final Year Project
Computational Intelligence Technology
Assessment methods vary and are defined explicitly in each module. Assessment can be a combination of examination and coursework but may also be only one of these methods. Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessments. This feedback may be issued individually and/or issued to the group and you will be encouraged to act on this feedback for your own development.
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, the assessment timetable and the assessment brief. 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 4 learning outcomes, and no more than 2 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. The module pass mark for undergraduate courses is 40%. The module pass mark for postgraduate courses is 50%.
Associate awards
Diploma in Professional Practice DPP
Diploma in International Academic Studies DIAS
Diploma in Professional Practice International DPPI
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).
Ulster University,
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T: 02870 123 456