MEng (Hons) Computer Science with Artificial Intelligence Programme Specification 2024-25

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1	ACADEMIC QUALITY TEAM
2	Programme Specifications 2024-25
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5	Programme Title			MEng Computer Science with Artificial Intelligence (with or without a Year in Industry)
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7	This document applies to students who commenced the programme(s) in:			2024			Award type			MEng
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9	What level is this qualification?			7			Length of programme			4 Years (5 with Year in Industry)
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11	Mode of study (Full / Part Time)			Full-time
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13	Will the programme use standard University semester dates?			Yes			For York Online programmes, will standard dates for such programmes be used?			N/A
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15	Awarding institution			University of York			Board of Studies for the programme			Computer Science
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17	Lead department			Computer Science			Other contributing departments			N/A
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19	Language of study and assessment			English			Language(s) of assessment			English
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21	Is this a campus-based or online programme?			Campus-based
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23	Partner organisations
24	If there are any partner organisations involved in the delivery of the programme, please outline the nature of their involvement. You may wish to refer to the Policy on Collaborative Provision
25	No.
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27	Reference points
28	Please state relevant reference points consulted in the design of this programme (for example, relevant documentation setting out PSRB requirements; the University's Frameworks for Programme Design (UG or PGT); QAA Subject Benchmark Statements; QAA Qualifications and Credit Frameworks).
29	This programme meets UoY Framework of Programme requirements (including current modularisation and semesterisation guidance). The programme is also informed by QAA Subject Benchmark in Computing and ACM curricular reference points. Many of these requirements overlap with the requirements of the BCS accreditation that we have received. BCS is also licenced by the Engineering Council and therefore needs to meet the AHEP and Compensation and Condonment rules for Chartered Engineer (CEng).
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31	Credit Transfer and Recognition of Prior Learning
32	Will this programme involve any exemptions from the University Policy and Procedures on Credit Transfer and the Recognition of Prior Learning? If so, please specify and give a rationale
33	No
34	No
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36	Exceptions to Regulations
37	Please detail any exceptions to University Award Regulations and Frameworks that need to be approved (or are already approved) for this programme. This should include any that have been approved for related programmes and should be extended to this programme.
38	PSRB statements: Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional (CITP). In addition, accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer (CEng). PSRB requirements: - Compensation limited to 30 credits per programme of study, and only on marks 10% below the Pass mark. - Major projects including PRBX, GPIG and PR4M cannot be compensated. Students who exceed the accreditation compensation limits, but meet the UoY compensation rules, will be transferred to MEng (Hons) Computer Systems Engineering with Artificial Intelligence (with and without Year in Industry).
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40	Internal Transfers
41	Please use the boxes below to specify if transfers into / out of the programme from / to other programmes within the University are possible by indicating yes or no and listing any restrictions. These boxes can also be used to highlight any common transfer routes which it would be useful for students to know.
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43		Transfers in:	Yes				Transfers out:	Yes
44			Yes					Yes
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46	Statement of Purpose
47	Please briefly outline the overall aims of the programme. This should clarify to a prospective student why they should choose this programme, what it will provide to them and what benefits they will gain from completing it.
48	The MEng in Computer Science with Artificial Intelligence produces multi-skilled, highly competent graduates who are equipped to become leaders in their career field and who understand the implications of their work both for themselves and for society as a whole. Through the programme, you will see two integrated strands of work which help you to develop both your computational thinking and your skills as an engineer. It is the combination of these two areas that will make you attractive to employers, enabling you to make an immediate contribution when you move into employment. The programme will provide you with a solid foundation in the principles and practices of Computer Science, including coding, mathematics and basic engineering; with breadth in Computer Science and related technical disciplines; and with advanced training in the focussed areas of Artificial Intelligence and Machine Learning. You will cover the theoretical underpinnings of these disciplines, become skilled in modern day practice, and gain an appreciation for how they impact our society as a whole. You will understand engineering trade-offs that cross disciplines, for example between hardware and software, and you will be able to participate effectively in multidisciplinary teams. You will also develop the skill to contribute professionally to solving complex commercial and industrial engineering problems, having undertaken a focussed project in the field of AI and Machine Learning. By choosing the Masters (MEng) programme, rather than the Bachelors (BSc/BEng), you will have the opportunity to both deepen your knowledge of Artificial Intelligence, and to study a larger number of optional modules for a broader exploration of the wider discipline. You will work on a large group final-year project, enabling greater depth of independent study. The programme is accredited by the BCS (the Chartered Institute for IT) – a professional body of computing and engineering.
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59	If there are additional awards associated with the programme upon which students can register, please specify the Statement of Purpose for that programme. This will be most relevant for PGT programmes with exit awards that are also available as entry points. Use additional rows to include more than one additional award. Do not include years in industry / abroad (for which there are separate boxes).
60	Exit Award Title			Is the exit award also available as an entry point?	Outcomes: what will the student be able to do on exit with this award?				Specify the module diet that the student will need to complete to obtain this exit award
61	BSc (Hons) Computer Science with Artificial Intelligence (with or without Year in Industry)			Entry point (see relevant programme spec) & Exit award	Partial PLOs met (see relevant programme BEng/BSc spec), with accredition.				Same as the standard programme.
62	BSc (Hons) Computer Systems Engineering with Artificial Intelligence (with or without Year in Industry)			Exit award only	Partial PLOs met (see relevant programme BEng/BSc spec), but without accredition				Same as the standard programme (but without UoY compensation rules).
63	MEng (Hons) Computer Systems Engineering with Artificial Intelligence (with or without year in industry)			Exit award only	All PLOs met, but without accreditation.				Same as the standard programme (but without UoY compensation rules).
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65	Programme Learning Outcomes
66	What are the programme learning outcomes (PLOs) for the programme? (Normally a minimum of 6, maximum of 8). Taken together, these outcomes should capture the distinctive features of the programme and represent the outcomes that students progressively develop in the programme and achieve at graduation. PLOs should be worded to follow the stem 'Graduates will be able to...'
67	1	Apply computational thinking to problems they encounter, using skills in problem analysis, representation and abstraction, and in algorithm selection, at different scales in complex situations, drawing on the foundations of computer science but with an awareness of current research issues and areas of commercial development. [Computational thinking]
68	2	Adapt to new technologies, languages, paradigms, terminologies and models as they become available, being confident to use cutting-edge techniques and tools in their practice, informed by self-directed study of current research and scholarship, and by awareness of open-source systems and tools. [Adaptability]
69	3	Design and build computer-based systems to serve the needs of users and the commercial imperatives of an employer, with the most appropriate combination of software and hardware, by applying the theory and practice of programming, software engineering, and artificial intelligence, while making effective use of the variety of physical implementations on which that software may be running. [Software and hardware; Users]
70	4	Engineer Artificial Intelligence systems that operate independently or in conjunction with other software systems by rigorous understanding of the problem domain by using skills from the whole breadth of Computer Science across all parts of the development lifecycle, with deeper skills in AI. [Engineering; Breadth and depth]
71	5	Demonstrate leadership, and make immediate and effective contributions as part of multidisciplinary teams in industry, consultancy or education, by organising themselves to manage workloads, optimise resources and meet deadlines, using experiences from team projects. [Team working]
72	6	Communicate and negotiate about complex computational problems and their solutions with specialist audiences and associated stakeholders in a clear and organised manner, with compelling and convincing arguments. [Communication]
73	7	Operate as responsible Computer Science professionals, by maintaining awareness of key legal and ethical issues, appreciating how computers and technology can impact on society and the importance of risk management, and by continuing to expand and deepen their knowledge through critical engagement with the discipline. [Professionalism]
74	8	Apply theoretical and practical knowledge of cutting-edge AI and available commercial technology to new or unfamiliar problems they encounter in employment or further study, and to communicate the results in a significant technical report or other appropriate medium. [Cutting-edge of of CS research and applications]
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76	Diverse entry routes
77	Detail how you would support students from diverse entry routes to transition into the programme. For example, disciplinary knowledge and conventions of the discipline, language skills, academic and writing skills, lab skills, academic integrity.
78	While our programme does rely on students having taken an A-level in Mathematics (or equivalent), we do not have requirements for any student to have qualifications in Computer Science, Programming, or any other specific technical skill. We presume no knowledge specific to computing, and use the first modules of the programme to bring all students to the same level. To this end, we teach a wide variety of technical skills and programming languages. We also presume only a basic familiarity with computing and other lab skills, and support such development through the Software 1 and Systems and Devices 1 modules. Equally, we make heavy use of peer-learning to allow students to model good learning to each other. Every module in the programme uses lab sessions in which students work together on problems, and a we have extensive group coursework assessments. Early modules in stage 1 teach and assess academic writing skills, which helps students to develop this key skill and also supports students in which English is an additional language. This is continued through into later stages, culminating in the final project which has a significant writing component.
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87	Inclusion
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89	Please confirm by ticking the box on the right that the design, content and delivery of the programme will support students from all backgrounds to succeed. This refers to the University's duties under the Equality Act 2010. You may wish to refer to the optional Inclusive Learning self-assessment tools to support reflection on this issue.										TRUE
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91	Employability
92	Please give a brief overview - no more than 5 sentences - of how the programmes helps develop students' employability. Your Faculty Employability Manager can help reflection on this issue. This statement will be used by Marketing as the basis for external content with respect to employability.
93	Skills for employability are embedded throughout the programme, with opportunities for students to return to skills throughout the degree. Throughout the programmes, industrial case studies are used, and several modules (eg HCIN, ENG1 and ENG2) base teamwork projects on realistic scenarios where students are exposed to managed risks and project management.
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95	[For Undergraduate and Integrated Masters Programmes Only]
96	Are you offering any variations of this programme, such as additional years abroad or industry?
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98	Year abroad			TRUE		Will the year abroad programme be available directly via UCAS; for students to transfer in having entered the main programme; or both?				N/A
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100	Year in industry			TRUE		Will the year in industry programme be available directly via UCAS; for students to transfer in having entered the main programme; or both?				Both