华威大学 · 人工智能驱动的制造系统理学硕士 硕士

📖 项目简介

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.

📋 项目参数

✨ 项目特色

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

• 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

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

🎯 入学要求

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.

Application is through the University’s online form. The course code for MSc AI-driven Manufacturing Systems is P-H707

You will need to select Department: WMG and tick Type of course: 'Postgraduate Taught' to bring up the full list of WMG courses available for application.

• A completed application form and £75 application fee.
• A Personal Statement which can be included in the online application.
• A scan of your transcript (marksheet). If you are still studying, please send us your transcripts to date. NB: if you are made an offer, we will then require you to upload your degree transcripts and certificate in order to clear your conditions.
• English language test result (if applicable) - this can be submitted after you have an offer.
• One reference . If you completed studies less than 2 years ago, this should be an academic reference. If you graduated more than 2 years ago, we will require a professional reference. We contact your referee directly, so please include their valid professional email address on your application form.
• Candidates with professional experience should include their CV with their application.

You can read more about the application process, and access a link to the application form, on our how to apply web page .

Our official application deadline is 31 August 2027, however please note that this course will close early if capacity is reached ahead of that deadline. We strongly recommend you apply as soon as you are ready in order to avoid disappointment.

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