MSc Artificial Intelligence for the Creative Industries Programme Specification 2024-25

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1	ACADEMIC QUALITY TEAM
2	Programme Specifications 2024-25
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5	Programme Title			MSc in Artificial Intelligence for the Creative Industries.
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7	This document applies to students who commenced the programme(s) in:			September 2024		Award type			MSc
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9	What level is this qualification?			7		Length of programme			1 year
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11	Mode of study (Full / Part Time)			Full and part-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			School of ACT (TFTI)
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17	Lead department			School of ACT (TFTI)		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
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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
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28	Reference points
29	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).
30	Framework for Programme Design (PGT)
31	Framework for Programme Design (PGT)
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33	Credit Transfer and Recognition of Prior Learning
34	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
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38	Exceptions to Regulations
39	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.
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43	Internal Transfers
44	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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46		Transfers in:	N/A			Transfers out:	N/A
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49	Statement of Purpose
50	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.
51	This programme offers a good opportunity to study and practise AI methods with a particular focus on their integration in creative workflows. This programme combines creativity and AI and will appeal to a wide range of students from different creative backgrounds, interests, and strengths, equipping them with the knowledge and skills required to address the needs of creative industries in real world scenarios. AI concerns computational systems that are in some sense autonomous, for example by showing the capability to perceive the environment, extract information and learn from it, reason about what is known, as well as communicating using human language and interacting with the physical environment, or even creating works of art. In this programme you will learn a variety of AI techniques, with a focus on Machine Learning (ML) and artificial neural networks. You will gain knowledge and develop critical skills necessary to identify requirements and design solutions for AI-driven environments deployed to various sectors of the Creative Industries. You will study societal and ethical implications of AI in the creation of original work, understanding their effect on copyright and privacy and being able to engage with detecting bias, discrimination and fakes. You will be encouraged to realise your own creative projects customising and extending the taught techniques, as well as exploring new methods, thus developing the capability to drive the realisation of creative applications of AI. Overall, this MSc will provide you with knowledge and skills required to deploy the power of computational intelligence to both creative environments (facing audiences) and creative practice and workflows (facing practitioners).
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62	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).
63	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
64	Postgraduate Diploma in Artificial Intelligence for the Creative Industries.			Exit award only	Students Exiting with a Postgraduate Diploma must be able to: PLO1 Understand a range of AI methods, analyse and evaluate their strengths and weaknesses in the context of real-world applications for creative industries. PLO2 Identify and model different ways in which AI techniques and systems can be deployed to both creative workflows and in digital objects ‘consumed’ by the end users, and evaluate their strengths and weaknesses regarding functionality and technical requirements. PLO3 Analyse AI systems - consisting of data sets, algorithms, software, people and contexts - as employed in creative workflows or in digital objects ‘consumed’ by the end users and determine their potential negative ethical implications accounting for copyright, privacy, safety, bias, discrimination, and manipulation (e.g. through fakes). PLO4 Identify requirements and architect solutions (design and prototype) for novel creative applications of AI in selected areas of the Creative and Cultural Sector (music, games, film and TV, theatre cultural heritage, etc.) and drive their realisations in collaboration with AI specialists. PLO5 and PLO6 partially: PLO5 Understand how to apply, customise and extend existing AI techniques and models to address specific needs (individual problems) deriving from different scenarios in creative industries, maximising code reuse and productivity. PLO6 Sketch an interactive AI-driven methods in selected areas of the Creative and Cultural Sector (music, games, film and TV, theatre cultural heritage, etc.) .			Successfully complete modules worth 120 credits. This would normally consist of completing 80 credits worth of taught modules and a smaller scale independent project accompanied by either a 7000 words disertation or a prototype and a 4000 words report. Such independent work would be specified on a case by case basis and will be used for students who cannot complete the full individual project.
65	Postgraduate Certificate in Artificial Intelligence for the Creative Industries.			Exit award only	Students Exiting with a Postgraduate Certificate must be able to: PLO1 Understand a range of AI methods, analyse and evaluate their strengths and weaknesses in the context of real-world applications for creative industries. PLO2 Identify and model different ways in which AI techniques and systems can be deployed to both creative workflows and in digital objects ‘consumed’ by the end users, and evaluate their strengths and weaknesses regarding functionality and technical requirements. PLO4 Identify requirements for novel creative applications of AI in selected areas of the Creative and Cultural Sector (music, games, film and TV, theatre cultural heritage, etc.) and analyse/sketch their realisations in collaboration with AI specialists.			Successfully complete modules worth 60 credits, which can be any combination of the taught modules. This award is most commonly used in cases when students fail to engage with the Individual Project module.
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67	Programme Learning Outcomes
68	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...'
69	1	Understand a range of AI methods, analyse and evaluate their strengths and weaknesses in the context of real-world applications for creative industries.
70	2	Identify and model different ways in which AI techniques and systems can be deployed to both creative workflows and in digital objects ‘consumed’ by the end users, and evaluate their strengths and weaknesses regarding functionality and technical requirements.
71	3	Analyse AI systems - consisting of data sets, algorithms, software, people and contexts - as employed in creative workflows or in digital objects ‘consumed’ by the end users and determine their potential negative ethical implications accounting for copyright, privacy, safety, bias, discrimination, and manipulation (e.g. through fakes).
72	4	Identify requirements and architect solutions (design and prototype) for novel creative applications of AI in selected areas of the Creative and Cultural Sector (music, games, film and TV, theatre cultural heritage, etc.) and drive their realisations in collaboration with AI specialists.
73	5	Apply, customise and extend existing AI techniques and models to address specific needs (individual problems) deriving from different scenarios in creative industries, maximising code reuse and productivity.
74	6	Develop interactive AI-driven prototypes in selected areas of the Creative and Cultural Sector (music, games, film and TV, theatre cultural heritage, etc.) that illustrate novel and original ideas for real-time selection, manipulation and creation of images and sounds.
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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	Basic familiarity with computing skills is assumed, but no formal qualifications in Computer Science, Programming, or any other specific technical skills are required. The first modules of the programme are used to bring all students to the same level.
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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	The use of AI in the creative industries is only just beginning, but the opportunities for the deployment of AI to creative practice are imense. This programme will prepare some of the pioneers of AI for the Creative Industries. Skills for employability are embedded throughout the programme, with opportunities for students to return to skills throughout the degree. Throughout the programme case studies from the creative industry are used, and several modules (e.g. Creative Practice Applications of AI, AI Generalities ) base lectures and practicals on realistic scenarios where students are exposed to managed risks and project management.
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