MSc AI-driven Manufacturing Systems

Master's Programme
AI-driven Manufacturing Systems

Develop skills to design, integrate, and optimise advanced manufacturing systems. Combining AI, digital manufacturing, and data science, the course emphasises data-driven decision-making, practical projects, and interdisciplinary learning for careers in intelligent, automated, and digitalised manufacturing sectors.

How to apply Download our brochure

Start date:
27 September 2027

Duration:
12 months, full time

Award:
Master of Science (MSc)

Application deadline:
31 August 2027

Highlights and benefits

AI meets Manufacturing: This programme bridges artificial intelligence, data analytics, and advanced manufacturing systems, enabling students to apply AI-driven solutions across complex manufacturing processes.
Industry-focused learning: Tackle real-world manufacturing challenges using cutting-edge digital technologies, including simulation, optimisation, and robotic automation.
Future-ready skills: Graduates develop practical, in-demand skills aligned with Industry 4.0 and smart manufacturing, equipping them for roles requiring AI, data analytics, and advanced manufacturing expertise.
Co-creation of the course by education and research groups ensures that academic excellence and cutting-edge research are fully integrated into the learning experience.

Overview

The MSc in AI-Driven Manufacturing Systems is a cutting-edge programme designed to prepare graduates to lead the transformation of modern manufacturing through artificial intelligence, data analytics, and advanced digital technologies. Globally, manufacturing industries are embracing technological advancements, prioritising sustainability, and developing a skilled workforce critical for future growth. Digital manufacturing technologies are evolving at an unprecedented pace, and the drive toward smart factories and interconnected systems is accelerating their adoption.

This programme equips students with the skills to optimise production processes, enhance quality, reduce waste, streamline supply chain, and enable predictive maintenance across complex manufacturing systems. The interdisciplinary curriculum combines manufacturing, computing, and data analytics, giving students a comprehensive understanding of system design, process and material selection, simulation, and optimisation. Through individual and group projects, case studies, and hands-on learning, students apply theory to real-world industrial challenges.

Graduates are prepared for careers in industrial digitalisation, intelligent systems engineering, robotic automation, and AI-driven operations across sectors such as aerospace, automotive, digital design, and general manufacturing management. By integrating AI, data science, and manufacturing expertise, this programme ensures students are ready to meet the evolving demands of Industry 4.0 and the global manufacturing landscape.

The course aligns with active research within WMG to educate students with the emerging digital skills required for future manufacturing industries driven by advanced technologies like AI, automation, robotics and the Internet of things (IoT).

Reasons to study AI-driven Manufacturing Systems at Warwick

Skills development and practical experience: Combines AI, data science, and digital manufacturing to develop skills for Industry 4.0.
Interdisciplinary learning environment: Integrates manufacturing, computing, and analytics to prepare students for complex problem-solving.
Industry relevance: Equip yourself for careers in industrial digitalisation, intelligent systems, robotic automation, and AI-driven operations.
Academic excellence: Study within WMG's interdisciplinary department where technology, computer science, and business intelligence converge.
Established reputation: Join a department with 1500 full-time MSc students across 18 programmes, supported by 34 research groups driving over 40% of all research at the University of Warwick. Warwick Manufacturing Group (WMG) has an established legacy of education and research in manufacturing.
Career advancement: Acquire the expertise and problem-solving capabilities that are in high demand, with skills that remain relevant as the field evolves.

What you'll learn

The programme comprises 120 credits of taught modules and a 60-credit dissertation project.

Core modules

Manufacturing Systems and Process Selection
Operations Management for Manufacturing
Digital Planning and Scheduling in Manufacturing Systems
System Reliability and Diagnosis
Autonomous Mobile Robots
AI-Driven Manufacturing with High-Fidelity Modelling
Data-Driven Manufacturing and Industrial AI
Interdisciplinary Research Methods

Project

In addition to the taught modules, you will complete a dissertation project which is worth a third of your final Master's grade (60 credits). This substantial individual project is designed to strengthen your academic and research skills, while allowing you to explore a specific area of artificial intelligence that reflects your interests and career goals. The project will be presented as a written dissertation, submitted at the end of the academic year.

You are expected to devote an appropriate portion of your time and intellectual effort to the project during the course i.e. approximately 600 hours over the course of the academic year.

Important module notes

'Core' refers to requisite modules. Pass requirements will be provided in the handbook at enrolment. Any changes will be confirmed to offer holders through Material Information provided at the point of offer.

The module catalogue links above show the latest approved version of each module and what is currently being taught (academic year 2025). There may be minor updates to content or learning objectives year on year, to reflect the evolving state of knowledge and the requirements of teaching best practice. Any such amendments will be made through the department’s module approvals process and updated in the catalogue before the start of the 2026 academic year.

How you'll learn

Learning style and assessment

This course has two components – a taught component accounting for two-thirds of your time and effort, and a research component (dissertation) accounting for one-third.

For the taught component, we blend lectures with seminars, syndicate exercises, simulations, and case studies. The majority of modules are taught in small classes to facilitate and encourage interaction. Others practice larger-scale lectures, which are then supported by small class seminars and group projects. Our module leaders have extensive academic and industry experience; industry experts currently working at the forefront of their fields also contribute regularly to the content and delivery of the course, bringing real-world insight into your learning experience.

Typical contact hours

Module delivery patterns vary, but most will be delivered in a short learning block of up to 4 weeks, allowing your focus to be on one module at a time. Each module nominally accounts for 150 hours, which includes scheduled classroom time and online activities as well as your independent study and assessments.

As a Master's student, you are expected to manage your own time appropriately. On average, you are expected to commit 38-40 hours of study each week, in order to successfully achieve your MSc qualification.

Assessment

The course uses a variety of assessment methods across modules. These may include reports (both topic-based and reflective), individual and group projects, presentations, skills-based assessments in data analysis, programming, implementation of AI and machine learning techniques to solve challenges, poster presentations, and critical reflections.

Assessments have been designed not only to evaluate your academic achievement but also to help you develop the practical skills needed to design and implement AI solutions in professional settings.

Entry requirements

Equivalent of a UK 2.1 honours degree in STEM subjects. Suitable subjects include but are not limited to: Engineering, Computer Science, IT, Mathematics, Physics, Artificial Intelligence. Other subjects with relevant experience will be assessed on individual basis. Non-native English speakers must demonstrate fluency in English with a test result equivalent to IELTS 6.5.

Candidates with a UK 2:2 (or equivalent) may be accepted upon demonstration of relevant professional experience.

English language

If you are a non-native English speaker, we need to confirm that your English language competency is sufficiently good for you to get the most out of your Master's study. We therefore require you to take a SELT (Secure English Language Test) and submit your results as one of your academic requirements. Whilst we encourage you to take your English test as early as possible, you can upload your results later in the application cycle. You do not need to delay your application until you've taken an English test.

If you are taking an IELTS test, we require a score of 6.5 (with no less than 6.0 in any one component). Please view our web page here for a full list of accepted tests, together with the grades required.

Careers

Employability and career prospects

Graduates of the MSc in AI-driven Manufacturing Systems are uniquely equipped to apply artificial intelligence, machine learning, and automation technologies to transform modern manufacturing processes. You will gain expertise in intelligent production systems, predictive maintenance, robotics, industrial IoT, and data-driven optimisation, preparing you for high-impact roles in advanced manufacturing, smart factories, automotive, aerospace, logistics, and industrial automation sectors. The integration of AI into manufacturing is accelerating rapidly, creating significant demand for professionals who can bridge the gap between cutting-edge AI technologies and industrial applications.

Potential roles could be in the following areas:

AI or Machine Learning Engineer in Manufacturing: Designing, implementing, and deploying machine learning models to optimise production lines, supply chains, and quality control processes.
Industrial Data Scientist: Analysing complex manufacturing data to identify patterns, predict maintenance needs, and improve operational efficiency.
Robotics and Automation Engineer: Developing intelligent robotic systems and automated processes to enhance productivity, safety, and precision in manufacturing environments.
Smart Manufacturing Consultant: Advising organisations on integrating AI-driven systems, predictive analytics, and Industry 4.0 solutions.
AI Solution Architect for Industrial Systems: Creating and implementing AI-driven solutions tailored to manufacturing operations, from production scheduling to logistics.
Predictive Maintenance Specialist: Using AI to anticipate equipment failures and reduce downtime, maximizing operational efficiency.
Ethical AI and Sustainability Specialist: Ensuring that AI applications in manufacturing are responsible, safe, and environmentally sustainable.

Graduates of this programme will be well-positioned for roles in leading industrial organisations, technology companies, and consultancies focused on the future of manufacturing, smart production, and AI-powered industrial innovation.

WMG: a department embedded in industry

You'll be studying in an environment surrounded by professionals from a range of industries and sectors; including hearing directly from industry experts and guest speakers in many of our modules.

Throughout the year, we also host activities and events that will help you to understand potential career pathways including; seminars; external speakers; industrial visits; alumni talks and more. We encourage our students to make the most of the opportunities available to learn about career options for the future.

Warwick Careers Service

The University of Warwick's Careers ServiceLink opens in a new window offers specific careers support to WMG students, through a dedicated Careers Advisor. The service provides practical workshops and 1-1 appointments for our students covering many aspects of career choice and development, including: how to build a strong CV and write job applications; effective career planning and guidance; and how to enhance your interview and networking skills.

Additionally, each year, employers have a presence on campus, with careers fairs, presentations and guest lectures happening on a regular basis; meaning you'll have lots of exposure to potential employers.

There are also various events run throughout the year to develop your skillset and teach you how to market this to employers. Individual workshops are hosted on a variety of topics, such as networking and time management. Or for those interested in a more complete programme, you can partake in awards such as WMG Skills+ to develop your core employability skills, or the Intercultural Training Programme to strengthen your intercultural awareness. In addition, there is a wealth of online material available to help strengthen your industrial knowledge and build on employability skills, such as the WMG Virtual Careers Programme. Find out more about the support available to you by visiting our Careers and Employability page.

Alumni

We hope that your relationship with WMG and the University of Warwick will continue long after your graduate. The university and the department both have vast alumni networks and, upon graduation, you'll be a member of this ever-growing community of professionals working in countries around the world. You'll have access to our alumni support; events; e-mentoring scheme; amongst many other opportunities.

You can read about more about the careers and experiences of our alumni on our alumni profiles web pages.Link opens in a new window

Course Director: Dr Muhammad Khan

Dr Muhammad Khan is an Associate Professor at WMG, University of Warwick specialising in engineering and manufacturing education. He focuses on applied technologies, industry-relevant skills development, and preparing students for modern manufacturing challenges, integrating practical insights with academic knowledge to support innovation and workforce readiness in advanced industrial environments.

View the Course Director's Profile

Scholarships and Bursaries

WMG will be awarding over £1 million in scholarships and bursaries to students commencing study on any of our full-time MSc programmes beginning in September 2026.

Explore funding opportunities

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Ready to study at WMG?

We look forward to receiving your MSc application. If you have any questions, please don’t hesitate to get in touch.

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About the information on this page

This information was correct at the date of publication. However, teaching staff (or their availability) and departmental facilities do sometimes vary, or become unavailable, for reasons beyond the University’s control. Where this happens, the University will ensure the minimum of disruption and will ensure that the expected standard of education is maintained. Please read our important informationLink opens in a new window to consider before making an application to find out more.

Master's ProgrammeAI-driven Manufacturing Systems