Data Science and AI in Creative Industries MSc

Program Overview

Data Science and AI in Creative Industries MSc

Course Overview

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.

Key Information

• Course duration: Full-time 1 year
• Annual fees:
  • Home (full-time): £10,600
  • Overseas (full-time): £24,000
• Course start: September 2025

Course Details

This course is part of our suite of Master’s in Computing, Games, and Data Science, offering a collaborative framework across various specialisations, including MSc Creative Computing, MSc Games Computing, and MSc Data Science and AI in Creative Industries.

Core Practice and Context in Data Science and AI in Creative Industries (60 credits)

This unit launches your master’s study experience at Norwich, immersing you in cutting-edge practices and emerging research in data science and AI, with a particular focus on the creative industries.

Advanced Technical Skills in Data Science and AI in Creative Industries (20 credits)

This unit equips students with advanced technical skills essential for computational practices in data science and AI.

Dialogue, Debate, and Domain Knowledge in Data Science and AI in Creative Industries (10 credits)

This unit explores leading practices and emerging data science and AI research within broader socio-economic, political, ethical, and cultural contexts.

Professional Technical Skills in Data Science and AI in Creative Industries (20 credits)

This unit builds on the ‘advanced technical skills’ unit, enhancing your professional-level expertise in data science and AI.

Advanced Critical Context in Data Science and AI in Creative Industries (10 credits)

This unit enhances your knowledge of data science and AI, focusing on developing effective research and reflective strategies.

Major Project (60 credits)

The major project unit is the culmination of the MSc in Data Science and AI in Creative Industries, applying accumulated knowledge and skills to a project.

Learning and Teaching

The course is delivered through a variety of engaging learning and teaching methods, including:

• Lectures
• Seminars
• Tutorials
• Technical labs
• Independent and group work

Assessment

Our assessment methods will vary based on the unit you choose and provide a comprehensive measure of your learning and progress. These methods may include:

• Critically reflective essay
• Course work
• Presentations
• Learning journal
• Reflective evaluation
• Body of creative work
• Reflective research report
• Team project evaluation
• Major project
• Supporting documentation

Real-World Problem-Solving

This course is part of our suite of Master’s in Computing, Games, and Data Science, offering a collaborative framework across various specialisations, including MSc Creative Computing, MSc Games Computing, and MSc Data Science and AI in Creative Industries.

Typical Career Paths

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.

Entry Requirements

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.

Fees and Funding

• Tuition fees for the 2025/26 academic year:
  • Home: £10,600
  • International: £24,000
• Fees for subsequent years: The rules for inflation on fees in subsequent years depend on the type of fee status and level.

How to Apply

Applications to our postgraduate courses should be made directly to Norwich University of the Arts using a Postgraduate Application Form.