Students
Tuition Fee
GBP 22,000
Per year
Start Date
2026-01-01
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Electrical Engineering | Mechanical Engineering | Robotics Engineering
Area of study
Engineering
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 22,000
Intakes
Program start dateApplication deadline
2025-09-01-
2026-01-01-
About Program

Program Overview


MSc Robotics and Automation

The MSc Robotics and Automation degree at Manchester Metropolitan University is designed to equip students with the skills and knowledge required to work at the forefront of Industry 4.0. The course focuses on the advanced concepts and practical applications of robotics and automation, with a strong emphasis on emerging technologies such as AI, digital twins, and additive manufacturing.


Course Overview

The course is a full-time one-year master's degree, with an optional industry placement year. It is designed for students from a diverse range of academic backgrounds, including engineering, physics, mathematics, and computing. The course covers a range of topics, including robotics, artificial intelligence, digital manufacturing, sensors, automation, industrial programming, and project management.


Entry Requirements

To be eligible for the course, students must have a UK honours degree - at least a 2:2 - or the international equivalent, in engineering, physics, mathematics, computing, or a related field. Applicants with relevant and extensive professional experience in the relevant fields will also be considered. English language requirements include an IELTS score of 6.5, with no component below 5.5.


Fees and Funding

The tuition fees for the course are £12,000 per year for UK and Channel Island students, and £22,000 per year for EU and non-EU international students. There are also additional costs associated with the course, including a placement fee of £1,850 and professional costs of approximately £200.


Career Prospects

Graduates of the course will have a range of career opportunities available to them, including roles as robotics engineers, automation consultants, and project managers. The course is designed to equip students with the skills and knowledge required to lead and innovate within diverse sectors, including manufacturing, healthcare, and transportation.


Course Structure

The course consists of eight core modules, including:


  • Sensors and Industrial Internet of Things
  • Programming and Virtual Commissioning Industrial Automation Systems
  • Artificial Intelligence Principles
  • Industrial Robotics
  • Robotics Science and Systems
  • Digital Manufacturing
  • Management of Project Fundamentals
  • Individual Engineering Research Project

Study and Assessment

The course is delivered through a combination of lectures, seminars, and independent study. Assessment is based on coursework, with no exams.


Placements

The optional industry placement provides students with the opportunity to apply their academic knowledge in the workplace, gaining additional specialist expertise and transferable skills.


Research Areas

The course is closely aligned with the research areas of the Department of Engineering, including robotics, automation, and emerging technologies such as AI and digital twins.


Facilities and Resources

The course is delivered in state-of-the-art facilities, including the FESTO CyberPhysical Lab and the digital manufacturing facility. Students will have access to industry-standard software and equipment, including Siemens NX, Tecnomatix, TIA Portal, and Siemens MindSphere.


Department of Engineering

The Department of Engineering at Manchester Metropolitan University has a strong reputation for delivering high-quality education and research in the field of engineering. The department is committed to providing students with the skills and knowledge required to succeed in their chosen careers, and to making a positive impact on society through its research and innovation activities.


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