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Artificial Intelligence and Creative Practice PGDip (Online)

Advance your creative practice with AI

100% online

15-month (part-time)

120 credits

3 starts per year

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Develop AI-enhanced skills for the future of creative industries

The Postgraduate Diploma (PGDip) in Artificial Intelligence and Creative Practice promotes the development of practical skills and critical understanding by exploring the intersection of artificial intelligence and creative practice, with a focus on how AI technologies are applied in artistic, cultural, and professional settings. You’ll explore AI from a creative-first perspective, engaging with user experience, creativity frameworks, and computational methods that blend theory with practice.

Diploma details

  • Join one of the leading UK institutions
  • Flexible entry and exit routes
  • Group-based study that mirrors studio culture
  • Curriculum around project-based design sprints
  • Exposure at the annual public symposium
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A curriculum for creatives who want to shape AI

120 credits

8 courses

Taking a creative-first approach to artificial intelligence, explore core components such as machine learning, generative models, and frameworks for computational creativity. Modules are designed to integrate conceptual understanding with practical creative work, promoting experimentation and development within digital and creative environments, with a focus on creative AI tools and techniques.

Alongside hands-on learning, the programme also encourages critical reflection on the implications of artificial intelligence in creative practice, including questions about authorship, originality, ethics, and cultural significance. This integrated approach promotes the development of both practical skills and theoretical understanding relevant to contemporary creative practice.

View Programme Specification

Required Artificial Intelligence and Creative Practice PGDip Courses

Phase 1

This module introduces the creative, technical and critical dimensions of AI-generated art. You’ll experiment with generative models like diffusion models, GANs and transformers while examining ethical and socio-economic implications. Assessment is a reflective blog demonstrating critical thinking and practical experimentation.
This module focuses on collaborative research and prototyping methods in Creative AI. You’ll learn to work collectively, document processes and design iterative prototypes from early experimentation to MVPs. Assessment is a group portfolio demonstrating collaborative research, and social and artistic considerations.
This module prepares you to design intermedial AI-driven creative projects. You’ll examine Creative AI practices through theoretical frameworks while experimenting across multiple tools and media. Assessment is a collaborative group or paired project proposal outlining your research context, methodology, and technical approach.
This module explores Creative AI through intermedial and transdisciplinary approaches. You’ll investigate human–machine learning relationships and create AI-informed works for a public symposium. Assessment combines a group symposium component (70%) with an individual reflective report (30%).

Phase 2

This module explores archiving within digital and AI-driven creative practice. You’ll experiment with methods that disrupt and reimagine creative assets using Git, web frameworks, and multi-format documentation. Assessment is a group portfolio of artefacts demonstrating collaborative experimentation and critical reflection.
This module prepares you to collaborate with AI systems in creative industries. You’ll develop strategies for visibility, viability, and growth while navigating funding opportunities and professional pathways. Assessment is a portfolio demonstrating your market position and strategic sustainability plan.
This module centres on curating and publicly presenting collaborative Creative AI projects. You’ll organise a collective work from concept to delivery, focusing on critical curation and professional presentation. Assessment is a group portfolio documenting your creative process and public showcase.
This module develops critical reflection on your creative AI practice. You’ll assess experiences — including setbacks — and use insights to redefine professional aims. Assessment is a multimodal reflective report in your chosen format demonstrating how experiences have shaped your evolving practice goals.

Please note that occasionally we may make changes to our programme curriculum. You may not always study modules in the order they are listed here.

Career pathways in AI-enabled creative practice

Graduates of the PGDip in Artificial Intelligence and Creative Practice can pursue roles in creative, media, design, and technology-focused sectors where artificial intelligence tools are integrated into production and creative workflows.

Career pathways include creative technology, digital design, interactive media, AI-assisted production, computational arts, and related interdisciplinary areas with opportunities to advance as the industry adopts generative and creative AI.

The programme also provides qualifications relevant to pursuing further study in artificial intelligence and creative practice.

Career details

Value of a Postgraduate Diploma (PGDip)

Postgraduate Diplomas are a great alternative to a master’s if you want to move forward without putting you career or finances on hold for longer than necessary. It gives you advanced, industry-relevant knowledge in a streamlined format, so that you can focus on what matters most for your career goals:

  • Study only what’s relevant to you – study only the modules that build the skills you need, without the added commitment of a dissertation or final project.
  • Qualify sooner – complete your studies in a shorter time frame and start applying your new expertise faster.
  • Manage your investment – benefit from lower overall tuition costs compared to a full master’s programme.
  • Stay career-focused – gain practical, applied skills that you can use immediately in your role or new industry.
  • Keep your options open – progress to a full masters later if it suits your ambitions.
  • Achieve a recognised Level 7 qualification – graduate with a respected postgraduate award that strengthens your CV and professional profile.

Programme outcomes

Upon completion, you’ll be able to blend advanced knowledge of AI with your creative practice. You’ll gain technical proficiency with AI models and generative systems, while developing the critical thinking needed for responsible and innovative use of AI.

  • Apply knowledge of artificial intelligence and creative practice to analyse and develop computational systems, artefacts and experiences.
  • Build critical and analytical thinking to assess AI tools, algorithms and methods across artistic, cultural, and professional settings.
  • Develop practical competence in using AI models, generative systems, and digital workflows relevant to creative and media industries.
  • Recognise and apply ethical, reflective and inclusive principles in the use of AI, with awareness of its cultural, social, and environmental implications.

Entry criteria

We welcome graduates from the arts, design, media, or humanities disciplines who want to add artificial intelligence skills to their creative practice. We do not assume that you’ve programmed before, and while we seek applicants with a bachelor’s degree, we do consider those with relevant work experience. For typical entry to this programme, you will have:

  • A BA or BSc Degree at level 2:1 (or equivalent) or above in any subject.

If you do not meet standard entry criteria, we may accept applications with a lower degree and significant work experience. Alternatively, we may recommend joining the PGCert in the first instance. Contact us to learn more.

English language proficiency requirement

If English is not your first language, you will need to supply an up-to-date English language test certificate. We accept IELTS certificates with an overall score of 6.5 and no less than 6.0 in any band. Alternative test certificates are also accepted, and exemptions can be made. Please contact us to find out more.

Admissions

Tuition and funding

The estimated total cost of this programme is £12,800 GBP for the full PGDip. You can pay in full or in instalments of £1,600 for each module. All costs are listed to help you make an informed decision.

Programme fees are reviewed annually and are subject to change each academic year. The fees listed above are for the academic year 2025-26.

Fees and Funding

We are excited to be offering discounts. Review our tuition and funding pages for more information.

Funding options

Meet your faculty

Our expert faculty members bring a wealth of knowledge and diverse perspectives to your learning experience. From AI and data science to creative coding, their shared commitment to innovation and excellence creates an empowering academic environment.

Rachel Falconer

Dr. Rachel Falconer, Faculty Member

Dr. Rachel Falconer

Dr Falconer is an established curator and authority in art practice and artificial intelligence, with a practice grounded in the critical and creative application of AI. She supports students in developing innovative creative coding practices and interdisciplinary AI projects that connect technological research with contemporary art discourse.

Together, these faculty members ensure that you not only gain technical expertise but also develop creative thinking and problem-solving skills to excel in a rapidly evolving tech landscape.

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