School of Computer Science

BSc Artificial Intelligence & Computer Science - 2013

Final Award BSc
Programme TitleArtificial Intelligence & Computer Science
School/DepartmentSchool of Computer Science
Banner Code0144
Length of Programme3 years
Total Credits360
Awarding InstitutionThe University of Birmingham
Designed for accreditation by BCS
QAA Benchmarking GroupsComputing

Educational Aims Of Programme

  • A solid foundation for a career or further study in computing/IT, including areas involving Artificial Intelligence.
  • Coverage of the core areas of Artificial Intelligence and general computer science.
  • A solid grounding in the theoretical underpinnings of contemporary developments in Artificial Intelligence and general computer science.
  • A solid grounding in practical software development skills, including those appropriate to Artificial Intelligence applications.
  • A choice of options in the second year and a wide choice of advanced and specialist options in the third year, covering both Artificial Intelligence and general computer science.

Programme Outcomes and Learning, Teaching and Assessment Strategies

Knowledge and Understanding

  • The essential facts, concepts, principles and theories relating to Computing and Artificial Intelligence and their applications as appropriate to the topics covered in the programme.
  • Appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems, particularly those with an Artificial Intelligence orientation.

Skills & Other Attributes

  • The ability to apply the knowledge and understanding noted above to the analysis of a given information handling or Artificial Intelligence related problem.
  • The ability to evaluate computer-based systems in relation to a given information handling or Artificial Intelligence related problem.
  • A responsible, ethical and open-minded attitude to their work and an understanding of the scope of Artificial Intelligence approaches.

Transferable Skills

  • The ability to work both independently and as an effective team member.
  • The ability to use and apply general IT facilities, including those required for effective information-retrieval.
  • Numeracy, in both understanding and presenting cases involving quantitative or similar formal, symbolic dimensions.
  • Management of learning and development, including time management, organizational skills, and the ability to pursue independently further professional development.


  1. The Learning & Teaching and Assessment Methods above are not intended to be exclusive, but to indicate the main methods in use. Module Descriptions contain more detail.
  2. Whether to award accreditation is a decision made from time to time by a professional body according to criteria which are then current; hence there is no guarantee that the programme will actually be accredited for any particular year of entry by any particular professional body.