Programme Specification


Date Specification Approved 01/05/2026
College College Arts and Law
School Phil, Theology and Religion
Department Phil, Theol & Religion
Partner College and School Computer Science
Collaborative Organisation and Form of Collaboration
Qualification and Programme Title B.A.Sc. Arts and Sciences with Year in Artificial Intelligence (AI) and Data Science Full-time
Programme Code 301L
Delivery Location Campus
Language of Study English
Length of Programme 4 Year(s)
Accreditations This programme has no outside accreditations
Aims of the Programme Artificial Intelligence (AI) is both an academic discipline in its own right and an enabling technology for other disciplines. The focus here is on AI and data science as enabling technologies. The programme aims to provide a solid, self-contained and coherent core of AI and data science suitable for combination with a variety of other academic disciplines. In particular, it aims to provide: * A solid foundation for a career or further study applied artificial intelligence and data science. * Coverage of the core areas of artificial intelligence and data science. * A solid grounding in the theoretical underpinnings of contemporary developments in artificial intelligence and data science. * A solid grounding in practical artificial intelligence and data science skills.
Programme Outcomes
Students are expected to have Knowledge and Understanding of: Which will be gained through the following Teaching and Learning methods: and assessed using the following methods:
The theoretical principles of the core techniques of applied artificial intelligence and data science
Software tools and frameworks for artificial intelligence and data science
The application of artificial intelligence and data science to practical problems
1) and 2): Lectures, Exercise classes, Practical work, Independent study. 3) Practical work
1) Examinations, Coursework, Written Reports 2) Examinations, Coursework 3) Coursework, Reports
Students are expected to have attained the following Skills and other Attributes: Which will be gained through the following Teaching and Learning methods: and assessed using the following methods:
The ability to apply the knowledge and understanding noted above to the analysis of artificial intelligence and data science problems
The ability to specify, design and construct solutions to artificial intelligence and data science problems, using appropriate tools, and to document all stages of this process
The ability to evaluate a range of methodological approaches in relation to given artificial intelligence and data science problems
The ability to work independently on artificial intelligence and data science tasks
Entrepreneurial skills
Numeracy, in both understanding and presenting cases involving quantitative or similar formal, symbolic dimensions
This information is to be supplied This information is to be supplied