The MSc in Data Science and AI in Creative Industries builds on your experience in creative and non-technical subjects to prepare you for professional roles in the rapidly evolving fields of creative technology, data science and AI.
This course takes an experimental and exploratory approach, enabling you to investigate fundamental conceptual and technological frameworks. You will engage with a range of computational approaches to data science questions, using your specialist knowledge to interrogate and redefine the boundaries of data science and AI, presenting innovative solutions based on experimental research data and methods.
This course is for those looking to break into data science and AI from non-technical backgrounds. The course focuses on tackling complex data science problems within creative technology and functional AI. Through project-based learning, you will enhance your skills in modern programming languages, machine learning methods, experimental tools, and data analysis.
The course supports a critical and ethical approach, reflecting on the social implications of data science and AI on society. There is an emphasis on interdisciplinary collaboration and creative problem-solving to strengthen your technical and teamwork skills, critical thinking, and your proficiency in analysing, validating, and interpreting data.
We typically require an honours degree of 2:1 or above. Applicants should have a good working knowledge of programming gained from work, university study, or personal interest. Details on your programming experience should be included as part of your application.
Those with industry experience or relevant skills from non-traditional backgrounds are encouraged to apply, including individuals currently employed. If you’re unsure about your eligibility, please contact us for guidance before applying.
The use of data science and AI in the creative industries is only just starting, and the opportunities around this field are growing as people change how they do business. Our MSc in Data Science and AI equips you with skills and knowledge for a dynamic career across a range of creative industries, combining interdisciplinary opportunities with your unique expertise. By combining data science and AI knowledge with creative practice, you’ll graduate ready to apply advanced techniques to real-world challenges. You’ll be prepared for roles across various industries, with the ability to critically evaluate methodologies, design and conduct empirical research and effectively communicate your findings.
This course prepares you for a career in a variety of disciplines related to games computing, including:
Data analyst
Data architect
Data scientist
AI creative technologist
Digital media analyst
AI-driven content creator
Interactive experience designer
Data-driven marketing strategist
Media and entertainment data analyst
AI-powered product designer
Data visualisation specialist
Core practice and context in Data Science and AI in Creative Industries (60 credits)
Advanced technical skills in Data Science and AI in Creative Industries (20 credits)
Dialogue, debate, and domain knowledge in Data Science and AI in Creative Industries (10 credits)
Professional technical skills in Data Science and AI in Creative Industries (20 credits)
Advanced critical context in Data Science and AI in Creative Industries (10 credits)
Major project (60 credits)
Norwich University of the Arts is a forward-thinking specialist university offering postgraduate degrees across art, design, media, architecture and t...