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  • DeadlineStudy Details: 1 year full-time or 2 years full-time with placement

Masters Degree Description

On our masters in robotics and automation, you’ll study the technologies shaping the future of smart systems and Industry 4.0. You’ll explore a range of topics, including:  

  • Robotics 

  • Artificial intelligence 

  • Digital manufacturing 

  • Sensors 

  • Automation 

  • Industrial programming 

  • Project management 

  • Industrial IoT 

You’ll dive into advanced topics like digital twin models and cyber-physical systems development, gaining both the theoretical knowledge and hands-on skills to lead in an increasingly automated worldYou’ll also study how businesses integrate emerging technologies and tackle the challenges of innovation and change. 

Building your expertise in systems thinking and analysis, you’ll be armed with the essential techniques to deliver new engineering products, services and enterprises. You’ll also develop skills in managing complex product and system life cycles, equipping you to handle engineering projects in a fast-paced digital world. 

Your individual research project is a chance to specialise in a topic relevant to your personal and professional ambitions. Working with a dedicated supervisor, you’ll choose from a range of themes, such as transport, energy and the environment, health and wellbeing, project management, and water. 

Throughout the course, you’ll be supported by experienceacademics, engineersdesigners and technicians. Many have active professional networks in a range of sectors, from manufacturing engineering and environmental industries to health and transport. 

With 100% of our research in engineering rated world-leading or internationally excellent (REF 2021), you’ll be guided by a team of research-active staff with expertise in both industry and academia.  

Based in Manchester – the world’s first industrial city and now a thriving tech and innovation hub – you’ll be immersed in opportunity. You’ll graduate with a powerful blend of technical knowledge, practical experience and project leadership skills, ready to apply for leadership and management roles in global organisations. 

Entry Requirements

You’ll need a UK honours degree – at least a 2:2 – or the international equivalent, in engineering, physics, mathematics, computing, or equivalent. Applicants with relevant and extensive professional experience in the relevant fields will be considered. 

English requirements: IELTS 6.5, with no component below 5.5 in any category, or an equivalent accepted English qualification. 

International students please see mmu.ac.uk/international 

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Fees

See our website for fees

Student Destinations

Graduates of this course will be equipped with a powerful blend of technical expertise and modern management skills – a combination highly valued across industries embracing digital transformationThis interdisciplinary degree opens doors to exciting and high-impact careers at the forefront of innovation. 

From manufacturing and energy to transport and healthcare, there are opportunities across a broad range of sectors. You could go on to work in roles such as: 

  • Robotics engineer 

  • Automation consultant 

  • Systems integrator 

  • Control systems engineer 

  • Project manager 

With real-world experience built into the course and strong industry ties, you’ll be ready to step into the workplace with confidence. Graduates from the department have gone to work for both national and international companies such as:  

  • Siemens  

  • Scottish Power  

  • Kellogg's 

  • Bruhati 

  • FICO 

  • Horan Power Engineering  

If you’re passionate about research, this MSc also offers a strong foundation for progressing to further academic study such as a PhD or an Engineering Doctorate course.  

93% of our postgraduates are in work or further study 15 months after graduation (Higher Education Statistics Agency data, 2021/22 UK graduates who studied a full-time, postgraduate taught course). 

Module Details

Core modules 

  • Sensors and Industrial Internet of Things 

  • Programming and Virtual Commissioning Industrial Automation Systems 

  • Industrial Robotics 

  • Digital Manufacturing 

  • Management of Project Fundamentals 

  • Individual Engineering Research Project 

  • Robotics and Reinforcement Learning 

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