Personal tools
You are here: Home Teaching Organisation Taught Course Information Degree Programmes BSc Artificial Intelligence

BSc Artificial Intelligence

BSc Artificial Intelligence Degree Programme Table

1. Awarding Institution: The University of Edinburgh

2. Teaching Institution: The University of Edinburgh

3. Programme Accredited By: see accreditation pages

4. Final Award: BSc Honours

5. Programme Title: BSc (Honours) Artificial Intelligence

6. UCAS Code: G700

7. Relevant QAA subject benchmarking: Computing

8. Mode of Study: Full time

9. Educational Aims

Artificial Intelligence studies the principles and mechanisms underlying intelligent processes in humans and other living organisms and attempts to apply such knowledge to the design of computer-based systems and to the understanding of natural intelligence.

The principal aims of these courses are to:

  • Develop graduates possessing a thorough understanding of the theoretical and practical aspects of Artificial Intelligence;
  • Equip students with advanced scientific and engineering skills from Artificial Intelligence;
  • Provide a programme of study that benefits from our research strengths in Artificial Intelligence at Edinburgh;
  • Enable students to develop communication skills, initiative, professionalism and the ability to work independently as well as with others; and
  • Provide graduates with the knowledge and skills necessary for their professional careers or for postgraduate study.

10. Programme Outcomes

The programme provides opportunities for learners to achieve the following outcomes:

(a) Knowledge and Understanding

  • understand the principles and mechanisms underlying various kinds of intelligent processes
  • understand how to deal more effectively with natural intelligence using AI tools and techniques
  • understand how to represent and reason about knowledge in a computer
  • have an awareness of the philosophical issues that arise within Artificial Intelligence
  • have an awareness of the social, professional, ethical and legal issues involved in the use of computing systems
  • have an awareness of key issues in Artificial Intelligence that will continue to challenge researchers in the future

(b) Intellectual Skills

The ability to:
  • specify and design intelligent computer-based systems
  • derive abstract representations and formulate appropriate solutions for problems

(c) Professional/Subject/Specific/Practical Skills

The ability to:
  • develop and implement intelligent computer-based systems
  • use support tools from Artificial Intelligence during the development process
  • formulate appropriate assessment criteria and evaluate computer-based systems
  • apply principles of human-computer interaction to the evaluation and construction of systems
  • operate computing equipment and software systems effectively

(d) Transferable Skills

  • deploy logical, analytical and problem solving skills to synthesise solutions
  • show self-direction and time management skills when working independently
  • work effectively as part of a team
  • provide and accept peer evaluation
  • communicate effectively through a variety of media including oral, visual, written, diagrammatic and on-line
  • make effective use of learning materials and acquire and apply knowledge from a variety of sources.

11. Programme Structure and Features

For formal definitions, including details of compulsory and optional course choices, consult the Degree Programme Table. Look at the list of Informatics courses to discover what courses belong to which subject area.

12. Entry Requirements

Please consult the current University Undergraduate Prospectus.

13. Degree Classification

The final degree classification is based equally on performance in third and fourth years. Degrees are classified according to the University's standard marking scale with boundaries at 70%, 60%, 50% and 40%. Students who fail final year can be awarded an Ordinary Degree on the basis of their third year marks.