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

BSc Artificial Intelligence with Psychology

BSc Artificial Intelligence with Psychology Degree Programme Table

This document focuses on details of the AI component of this joint degree. For more details of the Psychology component, please refer to the degree programme specifications of the School of Philosophy, Psychology and Language Sciences within the College of Humanities and Social Sciences. Students wishing to study for Artificial Intelligence with Psychology must apply for Artificial Intelligence & Psychology and transfer to AI with Psychology during their second year.

1. Awarding Institution: University of Edinburgh

2. Teaching Institution: University of Edinburgh

3. Programme Accredited By: see accreditation pages

4. Final Award: BSc Honours

5. Programme Title: BSc (Honours) Artificial Intelligence with Psychology

6. UCAS Code: GC68

7. Relevant QAA subject benchmarking: Computing. Psychology.

8. Mode of Study: Full time

9. Educational aims of programme:

Both Artificial Intelligence (AI) and Psychology aim to illuminate and advance our understanding of the ways in which perception and cognition interact to produce intelligent behaviour.

Both disciplines have a strong commitment to empirical studies and the development of improved experimental methodologies. Both involve constructing theories and testing them by building models, and reasoning about their behaviour. In particular, work in Artificial Intelligence is concerned with the problem of explaining and modelling intelligent behaviour in computational terms.

In recent years, AI has developed increasingly more sophisticated techniques for exploring computational theories. Meanwhile, Psychology has focused on the role of cognition in behaviour (Cognitive Psychology). Increasingly researchers are seeking both to develop AI technology hand in hand with their increasing understanding about the psychological processes at work in human behaviour, and to use the insights gained from computationally modelling intelligent processes to provide ever more sophisticated theories of cognitive processing. These degree programmes aim to reflect these developments.

Principal aims:
  • introduce students to the methods used in both AI and Psychology
  • develop students who are well equipped to develop robust AI programs, to extend AI techniques to new problems, especially within Psychology
  • develop students' understanding of the theoretical and practical issues in scientific Psychology, and to equip them with the skills to carry out independent empirical research
  • to develop graduates possessing a thorough understanding of the scope and limitations of Artificial Intelligence and Psychology, both theoretically and practically
  • to provide a programme of study that benefits from our research strengths across AI and the Cognitive Sciences
  • to enable students to develop communication skills, initiative, professionalism and the ability to work independently as well as with others
  • to provide graduates with the knowledge and skills necessary for both academic and industrial research and development.

10. Programme Outcomes

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

(a) Knowledge and understanding

On completing the programme students should be able to:

  • understand the principles and mechanisms underlying various kinds of intelligent processes, both in humans and machines
  • 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 a good understanding of the broad range of issues studies in Psychology
  • have an awareness of the philosophical issues that arise within Artificial Intelligence and Psychology
  • be equipped with the basic skill to carry out independent research in both Psychology and Artificial Intelligence.

(b) Intellectual skills

On completing the programme students should have the ability to:

  • specify and design intelligent computer-based systems
  • design, conduct and analyze empirical studies of human behaviour
  • derive abstract representations and formulate appropriate solutions for problems
  • use Artificial Intelligence to model and understand intelligent processes
  • understand the theory and practice of both Psychology and Artificial Intelligence, and how computational modeling is used in the understanding of human intelligent processes.

(c) Professional/subject/specific/practical skills

and also the ability to:

  • develop and implement intelligent computer-based systems
  • understand and evaluate empirical studies presented in scientific research papers
  • formulate appropriate assessment criteria and evaluate intelligent computer-based systems.

(d) Transferable skills

On completing the programme students should have the ability to:

  • deploy logical, analytical, and problem solving skills and to synthesize 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 to 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. Consult the List of Informatics courses to discover which courses belong to which subject area.

12. Entry Requirements:

Please consult the current University Undergraduate Prospectus.

13. Degree Classification:

Degree classification is based on performance in third and fourth years. Students who fail the final year can be awarded an Ordinary Degree on the basis of their third year marks.