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AI-driven Manufacturing Systems MSc

Postgraduate Taught

Course code

TBC

Start date

27 September 2027

¹û¶³´«Ã½ location

¹û¶³´«Ã½

Qualification

Master of Science (MSc)

Department

WMG (¹û¶³´«Ã½ Manufacturing Group)

Duration

1 year full-time

Course overview

Important information
This course has not yet been assigned a course code for 2027 entry, so applications are not currently open. Please check this webpage regularly for updates, including confirmation of the course code and details of when applications will open.

Build the digital skills powering Industry 4.0

Manufacturing is rapidly becoming smarter, more sustainable and driven by cutting-edge AI. Our MSc equips you to lead the next generation of intelligent production systems with an interdisciplinary curriculum that combines manufacturing, digital technology and data science. Through industry-focused learning, you'll develop the technical expertise to optimise processes, improve quality and efficiency, and design digital solutions for roles in AI, data analytics and advanced manufacturing.

AI-driven Manufacturing Systems student in a classroom studying.

Important information

We are planning to make some changes to our for 2027 entry. Changes are currently undergoing approval through the University's rigorous academic processes. As any changes are confirmed, they will be included on this webpage. It is therefore very important that you check this webpage for the latest information before you apply and prior to accepting an offer.

Modules

Build digital expertise, along with a comprehensive understanding of system design, process and material selection, simulation and optimisation.

  • AI-driven manufacturing: understand how to use AI to optimise production processes, enhance quality, reduce waste, streamline the supply chain and enable predictive maintenance across complex systems
  • Emerging technologies: explore the digital innovations transforming industry, such as automation, robotics and the Internet of things (IoT)
  • Real-world challenges: Develop your skills with real manufacturing challenges using cutting-edge digital technologies
  • Pursue your interests: complete a dissertation on an aspect of digital manufacturing that reflects your interests and goals
  • Future-ready skills: develop practical, in-demand skills aligned with Industry 4.0 and sectors such as such as aerospace, automotive, digital design and manufacturing management

Note that information found by following the links to the module catalogue is subject to change for future years of study, as we evolve our courses in response to the latest developments in academia and industry.

Teaching and learning

Learn through practical projects, industry insight and interdisciplinary collaboration.

  • Interdisciplinary study: integrate manufacturing, computing and analytics for complex problem-solving
  • Expert teaching: learn from course leaders with extensive academic and industry experience
  • Industry insight: receive extra guidance from industry experts at the forefront of their fields
  • Varied learning environment: combine lectures with seminars, syndicate exercises, simulations, case studies and small classes
  • Blended assessment: demonstrate your skills through reports, individual and group projects, presentations, and assessments in data analysis, machine learning techniques and other key areas

Entry requirements

Fees and scholarships

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and assessment and some student amenities.

Find your course fees

About the department

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