Programme Specifications
Computer Science and Artificial Intelligence (with integrated year in industry)
Information provided by Department of Computer Science:
Integrated Year in Industry available
Information provided by Department of Computer Science:
This Programme Specification has been designed to conform to the QAA
Benchmark statement for Computing.
This degree has been accredited by
the BCS: the Chartered Institute for IT.
Information provided by Department of Computer Science:
September 2023
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 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.
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:
Information provided by Department of Computer Science:
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A1 Knowledge of a range of programming languages and software design techniques
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A2 Knowledge of algorithm design and use of efficient data structures
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A3 An understanding of the mathematical underpinnings of Computer Science
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A4 An understanding of computer hardware architecture and construction
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A5 Knowledge of software engineering, the management of software projects, and their legal, social, ethical and professional aspects
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A6 Knowledge of the concepts that underpin Artificial Intelligence, and the understanding to apply those ideas in practical ways.
Learning and Teaching
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Lectures (A1-A6)
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Problem classes (A2,A3)
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Seminars (A5, A6)
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Laboratory work (A1, A2, A4, A5, A6)
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Group and individual projects (A1, A2, A4, A5, A6)
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Visiting lecturer series (A5, A6)
Assessment Strategies and Methods
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Time-constrained examinations (A1-A6)
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Problem sheets (A1, A2, A3)
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Project diaries (A1,A5, A6)
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Project reports (A1, A2, A5, A6)
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Oral presentations (A5, A6)
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Computer programs and assignments (A1, A2, A5, A6)
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Capstone project (A1, A2, A5, A6)
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:
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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
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B2 Implementation of computer programs in a range of modern languages
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B3 The ability to develop and evaluate logical arguments
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B4 The skill of abstracting the essential elements of problems, modelling them and obtaining solutions by appropriate methods
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B5 Application of engineering principles and knowledge to develop complex software systems
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B6 The capability of evaluating systems in terms of general quality attributes, possible trade-offs and risk within the given problem
Learning and Teaching
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Lectures (B1-B6)
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Problem classes (B3, B4, B5)
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Seminars (B1, B4, B5, B6)
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Laboratory work (B2, B4, B5)
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Group and individual projects (B1-B6)
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Visiting lecturer series (B3, B5, B6)
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Assessment Strategies and Methods
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Time-constrained examinations (B1-B6)
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Problem sheets (B1, B2, B3)
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Project diaries (B1, B3, B6)
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Project reports (B1-B6)
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Oral presentations (B1, B3, B6)
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Computer programs and assignments (B1, B2, B4, B5)
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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:
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C1 Present arguments and conclusions effectively and accurately
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C2 Use computer software to support presentations, produce reports and work as part of a software team
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C3 Understand the different ways in which project teams operate in the computing industry
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C4 Use appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems
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C5 Recognise any risks, safety or security aspects that may be involved with a computer system within a given context
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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:
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C7 Demonstrate a range of transferable skills in employment including employability, initiative, independence and commercial awareness.
Learning and Teaching
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Lectures (C1-C6)
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Problem classes (C1)
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Seminars (C1-C6)
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Laboratory work (C4, C6)
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Group and individual projects (C1-C6)
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Visiting lecturer series (C1, C3, C5)
Assessment Strategies and Methods
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Time-constrained examinations (C1, C4, C5)
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Problem sheets (C1)
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Project diaries (C2, C3, C5)
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Project reports (C1, C2, C4, C5, C6)
Information provided by Department of Computer Science:
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D1 Apply general mathematical skills to a range of problems
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D2 Work independently
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D3 Use information technology confidently
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D4 Manage time and resources effectively
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D5 Develop effective learning skills
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D6 Be aware of the need to plan for employment and to develop various skills for such employment
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D7 Work cooperatively as a member of a software development team, recognising the different roles within a team and different ways of organising teams.
ing and Teaching
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Lectures (D1-D7)
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Problem classes (D1,D5)
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Seminars (D4, D5, D7)
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Laboratory work (D3, D4, D7)
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Group and individual projects (D2, D3, D4, D5, D7)
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Visiting lecturer series (D6, D7)
Assessment Strategies and Methods
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Time-constrained examinations (D1)
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Problem sheets (D1,D5)
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Project diaries (D3, D4, D7)
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Project reports (D5,D6, D7)
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Oral presentations (D7)
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Computer programs and assignments (D2, D3, D4, D5, D7)
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Capstone project (D2, D3, D4, D5)
BSC Computer Science and Artificial Intelligence (with integrated year in industry) [GG47]
Academic Year: 2024/2025Single Honours scheme - available from 1998/1999
Duration (studying Full-Time): 4 years