BSc Artificial Intelligence & Computer Science with Study Abroad - 2022
|Programme Title||Artificial Intelligence & Computer Science with Study Abroad|
|School/Department||School of Computer Science|
|Length of Programme||4 years|
|Awarding Institution||The University of Birmingham|
|QAA Benchmarking Groups||Computing|
Educational Aims Of Programme
Within the context of the general Learning & Teaching Aims of the School, this four-year single honours degree programme aims to provide:
- 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 specify, design and construct computer-based systems, using appropriate tools, and to document all stages of this process.
- 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.
- 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.
- Pre-requisites: Some of the modules in the option blocks are prerequisites for options available in the final year, so that choices need to be considered across both years.
- Module Failure: The Syllabus web page for every module defines the resit rules if they are different from the first attempt -- follow the links under the module code.
- Progress Decisions: Please refer to the University Regulations for further information on assessment, progression and awards.
- Optional Modules: Not all options may be available in any particular year. Some option combinations are only available if the timetable permits. As students may have to make preliminary option choices before timetables are available, changes may be needed later if there are clashes. In selecting options, students are responsible for checking pre-requisite and co-requisite information requirements.
- Degree Classification: Refer to the University Regulations for further information on the general rules governing degree classification.
- Accreditation: 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.
- Study Abroad: See the University webpages for Degrees with Study Abroad.