Course Details
Artificial Intelligence (AI) is changing the way we see the world, not only in technical areas but across a vast array of industries. Understanding how AI works and the benefits it can bring to businesses and sectors, both now and in the future, is increasingly valuable.
The increased use of AI offers significant social and economic benefits. Since 2000 there has been an exponential increase in the quantity of data generated globally, driven by the internet, mobile devices and technologies such as the Internet of Things. This trend is expected to continue, emphasising the need for effective AI solutions to harness and interpret data meaningfully.
This module introduces fundamental threshold AI concepts via a programming-free platform, drag-and-drop platform.
This module provides students with a case-based approach to understanding and applying fundamental AI technologies. Through practical, non-programming methods, students will develop an appreciation of data value, bias, and the methodologies of supervised and unsupervised learning, including classification, predictive analytics, and pattern detection.
The module emphasises the importance of using a structured lifecycle to create AI models and critically evaluate their responsibility, suitability for deployment, and interpretability.
Students will gain practical insights into responsible AI applications through real-world case studies across diverse business contexts.
Course Duration and Delivery Format
Course start date: September 2025
The course will be delivered through a hybrid learning model, combining both on-campus and online delivery. Each module will include four on-campus sessions, each lasting three hours, spread across a 12-week semester. The remaining module content will be delivered online.
Teaching, Learning and Assessment
This module is assessed entirely through coursework, with the workload evenly distributed across the semester.
This course uses a hybrid teaching approach. Each semester, students attend four on-campus sessions, each lasting three hours, while the remaining learning is conducted online via video and audio recordings, interactive quizzes, and educational apps. Lecture materials, including PowerPoint presentations, will be made available for review and revision on the University’s online learning system.
Career Opportunities
This module provides students an appreciation of data value, data bias, and supervised and unsupervised learning including classification, predictive analytics and pattern detection. Students will gain experience in visualising data and understanding its value. Formal process methodologies will be introduced to ensure students use a structured lifecycle for producing AI models and then evaluating their responsibility, suitability for deployment and interpretability.
Students who successfully complete this module may be eligible for an exemption on the MSc or PgCert in Ethical and Responsible Artificial Intelligence programs.
Campus
Derry~Londonderry and online
Course Credit
This is a 20 credit module
Course Entry requirements
Applicants must:
(a) have gained
(i) an Honours or non-Honours degree from a University of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which is recognised as being of an equivalent standard;
or
(ii) an equivalent standard in a Graduate Certificate or Graduate Diploma or an approved alternative qualification;
and
(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent);
In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.
Fee Funding Eligibility
Places are limited and open to applicants who:
- are over 18 years of age;
- are eligible to work in Northern Ireland or the Republic of Ireland (ROI);
- are ‘settled’ in Northern Ireland or the Republic of Ireland, and has been ordinarily resident in the UK or ROI for at least three years; or
- are a person who has indefinite leave to enter or remain in the UK or ROI.
- meet the course specific entry requirements as detailed above.
- meet the Ulster University general entry requirements
- this programme is not available to applicants with the following residency:
- GB and Islands
- EU excluding ROI qualifying residents
- International students
Terms and Conditions
- Fee funding is only available for the September 25/26 intake and cannot be deferred to future intakes.
- Fee funding is paid directly by the Department for the Economy to Ulster University.
- Students cannot redeem the funding for an alternative programme nor redeem the cash value.
- Students cannot redeem this funding in conjunction with any other course fee funding.
- Students can redeem funding for up to three courses, which equate to no more than 60 credit points in total (with the exemption of MSc, which is 180 credit points).
Apply now
There are a limited number of places on the course.
Offers will be made to those applicants who meet the entry requirements, and have provided evidence of such, on a first come , first served basis.
Therefore, when creating your application you will need to have the following documents saved electronically as they need to be uploaded as part of the application process:
- Passport
- Evidence on meeting three year residency in NI/ROI
- Degree Certificate
- English Competency (If you have a degree from UK/ROI, you don't need to provide anything else)
- BRP - If applicable
