Programme Specifications

Artificial Intelligence and Robotics

1 : Awarding Institution / Body
Aberystwyth University

2a : Teaching Institution / University
Aberystwyth University

2b : Work-based learning (where appropriate)

Information provided by Department of Computer Science:

Integrated Year in Industry available

3a : Programme accredited by
Aberystwyth University

3b : Programme approved by
Aberystwyth University

4 : Final Award
Bachelor of Science

5 : Programme title
Artificial Intelligence and Robotics

6 : UCAS code

7 : QAA Subject Benchmark

Information provided by Department of Computer Science:


8 : Date of publication

Information provided by Department of Computer Science:

9 : Educational aims of the programme

Information provided by Department of Computer Science:

​​​Subject knowledge

  • ​To give students a good grounding in the major fields of Computing through a wide range of experiences;

  • ​To give students an understanding of the political, economic, legal and social issues surrounding software.

  • ​To produce graduates who understand the concepts that underpin Artificial Intelligence and Robotics, and who are able to apply those ideas in practical ways.

Integrated Year in Industry:

  • ​To enable students to learn about an organization and its area of work, providing an excellent opportunity to evaluate future career paths.

​Subject specific skills

  • ​To equip students with the skills necessary to design software and to program in high-level computing languages;

  • ​To enable students to understand and apply the range of principles and tools available to the software engineer

  • ​To instil the professional skills and ethical responsibilities required of computer practitioners.

​Generic and graduate skills

  • ​To reason logically and creatively; to communicate clearly both orally and in writing; and to be able to obtain and interpret information from a wide range of sources

Integrated Year in Industry:

  • ​To develop highly valued transferable and professional skills during a work placement, providing a competitive edge in the graduate job market.

​Overall aim of the scheme

  • ​To produce graduates who are highly sought after by industry, and who have the potential to succeed in a rapidly changing computing workplace.​​

10 : Intended learning outcomes

Information provided by Department of Computer Science:

The scheme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

10.1 : Knowledge and understanding

Information provided by Department of Computer Science:

  • A1 Knowledge of a range of programming languages and software design techniques

  • A2 Knowledge of algorithm design and use of efficient data structures

  • A3 An understanding of the mathematical underpinnings of Computer Science

  • A4 An understanding of computer hardware architecture and construction

  • A5 Knowledge of software engineering, the management of software projects, and their legal, social, ethical and professional aspects

  • A6 Knowledge of the concepts that underpin Artificial Intelligence and Robotics, and the understanding to apply those ideas in practical ways.

Learning and Teaching

  • ​​​Lectures (A1-A6)

  • ​Problem classes (A2,A3)

  • ​Seminars (A5, A6)

  • ​Laboratory work (A1, A2, A4, A5, A6)

  • ​Group and individual projects (A1, A2, A4, A5, A6)

  • ​Visiting lecturer series (A5, A6)​​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (A1-A6)

  • ​Problem sheets (A1, A2, A3)

  • ​Project diaries (A1,A5, A6)

  • ​Project reports (A1, A2, A5, A6)

  • ​Oral presentations (A5, A6)

  • ​Computer programs and assignments (A1, A2, A5, A6)

  • ​Capstone project (A1, A2, A5, A6)​​

10.2 : Skills and other attributes

Information provided by Department of Computer Science:

10.2.1 Intellectual Skills

By the end of their programme, all students are expected to be able to demonstrate:

  • B1 Application of a range of concepts and principles in well-defined software development contexts, showing judgement in the selection and application of tools and techniques

  • B2 Implementation of computer programs in a range of modern languages

  • B3 The ability to develop and evaluate logical arguments

  • B4 The skill of abstracting the essential elements of problems, modelling them and obtaining solutions by appropriate methods

  • B5 Application of engineering principles and knowledge to develop complex software systems

  • B6 The capability of evaluating systems in terms of general quality attributes, possible trade-offs and risk within the given problem

Learning and Teaching

  • ​​​Lectures (B1-B6)

  • ​Problem classes (B3, B4, B5)

  • ​Seminars (B1, B4, B5, B6)

  • ​Laboratory work (B2, B4, B5)

  • ​Group and individual projects (B1-B6)

  • ​Visiting lecturer series (B3, B5, B6)​​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (B1-B6)

  • ​Problem sheets (B1, B2, B3)

  • ​Project diaries (B1, B3, B6)

  • ​Project reports (B1-B6)

  • ​Oral presentations (B1, B3, B6)

  • ​Computer programs and assignments (B1, B2, B4, B5)

  • ​Capstone project (B1, B2, B4, B5)​​

10.2.2 Professional practical skills / Discipline Specific Skills

By the end of their programme, all students are expected to be able to:

  • C1 Present arguments and conclusions effectively and accurately

  • C2 Use computer software to support presentations, produce reports and work as part of a software team

  • C3 Understand the different ways in which project teams operate in the computing industry

  • C4 Use appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems

  • C5 Recognise any risks, safety or security aspects that may be involved witha computer system within a given context

  • C6 Deploy effectively the tools used for the construction and documentation of computer applications, with particular emphasis on understanding the whole process involved in the effective deployment of computers to solve practical problem

Integrated Year in Industry:

  • C7 Demonstrate a range of transferable skills in employment including employability, initiative, independence and commercial awareness.

Learning and Teaching

  • ​​​Lectures (C1-C6)

  • ​Problem classes (C1)

  • ​Seminars (C1-C6)

  • ​Laboratory work (C4, C6)

  • ​Group and individual projects (C1-C6)

  • ​Visiting lecturer series (C1, C3, C5)​​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (C1, C4, C5)

  • ​Problem sheets (C1)

  • ​Project diaries (C2, C3, C5)

  • ​Project reports (C1, C2, C4, C5, C6)​​

10.3 : Transferable/Key skills

Information provided by Department of Computer Science:

By the end of their programme, all students are expected to be able to:

  • D1 Apply general mathematical skills to a range of problems

  • D2 Work independently

  • D3 Use information technology confidently

  • D4 Manage time and resources effectively

  • D5 Develop effective learning skills

  • D6 Be aware of the need to plan for employment and to develop various skills for such employment

  • D7 Work cooperatively as a member of a software development team, recognising the different roles within a team and different ways of organising teams.

Learning and Teaching

  • ​​Lectures (D1-D7)

  • ​Problem classes (D1,D5)

  • ​Seminars (D4, D5, D7)

  • ​Laboratory work (D3, D4, D7)

  • ​Group and individual projects (D2, D3, D4, D5, D7)

  • ​Visiting lecturer series (D6, D7)​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (D1)

  • ​Problem sheets (D1,D5)

  • ​Project diaries (D3, D4, D7)

  • ​Project reports (D5,D6, D7)

  • ​Oral presentations (D7)

  • ​Computer programs and assignments (D2, D3, D4, D5, D7)

  • ​Capstone project (D2, D3, D4, D5)

  • ​Integrated year in industry (D2-D7)​​

11 : Program Structures and requirements, levels, modules, credits and awards

BSC Artificial Intelligence and Robotics [GH76]

Academic Year: 2023/2024Single Honours scheme - available from 2005/2006

Duration (studying Full-Time): 3 years

Part 1 Rules

Year 1 Core (120 Credits)

Compulsory module(s).

Semester 1

Introduction to Computer Infrastructure


Introduction to Programming


Study Skills for Computer Science

Semester 2

Problems and Solutions


Fundamentals of Web Development


Information security


Programming Using an Object-Oriented Language

Part 2 Rules

Year 2 Core (120 Credits)

Compulsory module(s).

Semester 1

Algorithm Design and Data Structures


C and C++


Modelling Persistent Data

Semester 2

Software Engineering


Robotics and Embedded Systems


Artificial Intelligence

Final Year Core (80 Credits)

Compulsory module(s).

Semester 1

Robotic Applications


Space Robotics

Semester 2

Professional Issues in the Computing Industry


Major Project

Final Year Timetable Core/Student Option

You must take ONE of the following modules (10 or 20 credits).

Semester 1

Fundamentals of Machine Learning


Machine Learning

Semester 2

Final Year Electives

Choose 20 or 30 credits as advised by the department.

12 : Support for students and their learning
Every student is allocated a Personal Tutor. Personal Tutors have an important role within the overall framework for supporting students and their personal development at the University. The role is crucial in helping students to identify where they might find support, how and where to seek advice and how to approach support to maximise their student experience. Further support for students and their learning is provided by Information Services and Student Support and Careers Services.

13 : Entry Requirements
Details of entry requirements for the scheme can be found at

14 : Methods for evaluating and improving the quality and standards of teaching and learning
All taught study schemes are subject to annual monitoring and periodic review, which provide the University with assurance that schemes are meeting their aims, and also identify areas of good practice and disseminate this information in order to enhance the provision.

15 : Regulation of Assessment
Academic Regulations are published as Appendix 2 of the Academic Quality Handbook:

15.1 : External Examiners
External Examiners fulfill an essential part of the University’s Quality Assurance. Annual reports by External Examiners are considered by Faculties and Academic Board at university level.

16 : Indicators of quality and standards
The Department Quality Audit questionnaire serves as a checklist about the current requirements of the University’s Academic Quality Handbook. The periodic Department Reviews provide an opportunity to evaluate the effectiveness of quality assurance processes and for the University to assure itself that management of quality and standards which are the responsibility of the University as a whole are being delivered successfully.