1 year full-time,
2 years part-time
September 2023 (semester dates)
Wednesday 7 June 2023
Join us to uncover what postgraduate life at York is all about.
Artificial intelligence (AI) has already made a significant impact upon our society and it continues to permeate every sector of our lives at an incredibly fast pace. We will soon cohabit with AI. We will be continuously surrounded by intelligent media in extended reality spaces and will employ AI in creative expression itself. This pioneering Masters will get you ready for this imminent future and place you on a path for an exciting career.
You'll combine creativity and technical expertise, becoming equipped with the fundamental knowledge and skills around AI, with a focus on machine learning and artificial neural networks. Working on case studies and with experts in the field, you'll apply them to understand and resolve practical problems.
You'll explore how to deal with societal and ethical implications of AI, for example around issues of copyright, privacy and fakes.
You'll draw on your own creativity to identify opportunities for industry and drive forward the discovery and application of novel AI tools. This degree will motivate, inspire and enrich your understanding of this rapidly growing field and the creative opportunities which AI offers.
Learn from world-leading researchers, dynamic teachers and professionals with a wide range of creative industry backgrounds and networks.
83.3% of our research impact across film, theatre, television and interactive media was rated as 'world-leading' (REF 2021), with a particular strength in immersive and interactive storytelling practices.
The taught elements of this degree will give you the foundations for using AI in your creative practice. They provide a broad introduction to AI, a deeper training in some of the most recent techniques, and a description of some of the major successes of applying AI in creative media and practice.
Throughout the degree, you'll analyse and prototype AI driven systems, either as user-facing artefacts or as tools for creative practice. You'll be given the opportunity to select the aspects which you'll explore in more depth, in accordance with the areas of your interest.
You will also study one option module, from a selection which may include:
The options available to you will be confirmed later in the year. For further information please get in touch.
Our modules may change to reflect the latest academic thinking and expertise of our staff.
Your project is an opportunity to explore an area of AI in depth. You can do this either through the development of a practical application or through a critical analysis of an existing one. The project is assessed via an implemented prototype accompanied by a critical report, or an essay. You'll be supported through this project by your assigned academic supervisor.
Projects could cover areas such as:
Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you'll need upon graduation and then design the course to get you there.
|Study mode||UK (home)||International and EU|
|Full-time (1 year)||£11,770||£27,200|
|Part-time (2 years)||£5,885||£13,600|
Students on a Student Visa (formerly Tier 4 Visa) are not currently permitted to study part-time at York.
For courses which are longer than one year, the tuition fees quoted are for the first year of study.
UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status.
Find out more information about tuition fees and how to pay them.
Discover your funding options to help with tuition fees and living costs.
We'll confirm more funding opportunities for students joining us in 2023/24 throughout the year.
If you've successfully completed an undergraduate degree at York you could be eligible for a 10% Masters fee discount.
You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.
You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace.
The course involves a range of different teaching styles, including case study-based learning, independent study, collaborative work and practical activities. You'll be taught by research-active, creative professionals across immersive and interactive media; what you learn at York stems directly from current research and practice.
You will be assigned a personal supervisor from our teaching staff who will act as a point of contact, supporting you with your studies for the duration of the degree. They are there to provide you with advice on academic matters as well as others areas of life at the University.
You'll have access to lab spaces equipped with powerful computers able to train and run AI modules and an impressive computing cluster. You'll also be able to access studio and rehearsal spaces, accompanied by state of the art equipment and media processing software for high quality content creation.
You will be based primarily in the School of Arts and Creative Technologies, with some teaching elsewhere on Campus East and Campus West.
Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.
The programme is assessed through a combination of essays, implemented prototypes and reports. The module options are set to encourage you to choose topics of their interest and select the assessment methods that are most suitable to you.
The use of AI in the creative industries is only just starting, and the opportunities around this field are growing.
Skills for employability are embedded throughout your degree. You'll work on real world case studies from the creative industry. Modules base their lectures and practicals on realistic scenarios, giving you experience of running projects and managing risks.
|Undergraduate degree||2:1 or equivalent in a related discipline. For those returning to study, evidence of appropriate experience will be required.|
|Other qualifications and experience||Basic familiarity with computing skills is assumed, but no formal qualifications in Computer Science, Programming, or any other specific technical skills are required.|
|Other international qualifications||Equivalent qualifications from your country|
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
|IELTS (Academic and Indicator)||6.5, minimum 6.0 in each component|
|C1 Advanced and C2 Proficiency||176, minimum 169 in each component|
|Duolingo||120, minimum 105 in all other components|
|LanguageCert SELT||B2 with 33/50 in each component|
|LanguageCert International ESOL||B2 Communicator: Pass with 33/50 in each component|
|PTE Academic/PTE Academic Online||61, minimum 55 in each component|
|TOEFL||87, minimum of 21 in each component|
|Trinity ISE III||Merit in all components|
For more information see our postgraduate English language requirements.
You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.
The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements.
After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.
Get in touch if you have any questions
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