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Students
Tuition Fee
GBP 14,500
Per year
Start Date
2024-09-01
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Robotics
Discipline
Computer Science & IT
Minor
Artificial Intelligence and Robotics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 14,500
Intakes
Program start dateApplication deadline
2023-09-01-
2024-09-01-
About Program

Program Overview


Overview

Investing in advanced manufacturing systems and technology enables industry to progress and face unprecedented situations. This has been evident during the coronavirus pandemic and the World Economic Forum (2020) identified companies who invested in this technology were more able to:

  • Adapt quickly to the current crisis, flip to new business opportunities and support Governments through the pandemic.
  • Ensure business resilience through the use of advanced manufacturing technologies.
  • Readily support safe COVID-19 manufacturing practices.

Shift happens, and result change is inevitable, therefore it is necessary for the industry to transform and adopt Industry 4.0 and 5.0 practices and technologies to alleviate COVID-19 impact on the manufacturing sector globally. 

Program Outline

Module information

Please note that the list of optional modules and their availability may be subject to change. We continually review and where appropriate, revise the range of modules on offer to reflect changes in the subject and ensure the best student experience. Modules will vary when studied in combination with another subject.

The modules shown here are those which you will study if you choose Single Honours Forensic Investigation. Other, related, degrees are available to you.

Core/optional modules

*Modules subject to validation


How you’ll learn

The programme follows the learning framework of the Conceive-Design-Implement-Operate (CDIO) (www.cdio.org) strategy that is emphasised on the industrial relevance of the programme. Students will take part in active learning using interdisciplinary group projects and problem-based learning typically sourced from industry with industrial involvement. The MSc programme will develop both technical and employability skills among students. The blended learning approach of lectures and workshops comprised of face to face and on-line will:

  1. Use industrially recognised and relevant technology and examples whenever possible.
  2. Receive guidance and other interaction with Industrial Partners – including in assessment where possible.
  3. Build the level of complexity of problems, challenges, and solutions over the period of the degree programme through working on and solving where possible industry sourced problems/projects.
  4. Consider advanced manufacturing solutions with respect to inclusivity, ethics, health and safety, economics, global, local, sustainability and environmental considerations

The course will consist of blend of on-line and face to face campus practical learning in computing laboratories and face to face and on-line theoretical and practical learning. 

The MSc course will build upon the skills you developed as undergraduate, and encourage the development of an enquiring mind, technical and employability skills to systematically solve and critically analyse complex problems.

The online and on campus practical learning in the MSc will use open source, student licensed software (which we have invested in) and cloud-based software resources, for example computer programming using MS Visual Studio Live. The programme will also utilise Blackboard Virtual Learning Environment to support on-line asynchronous and synchronous on-line video learning, discussion board, chats, in conjunction with digital learning tools like Padlet, Mentimeter, Socrative, Kahoot, YouTube, MS Whiteboard, MS Teams, GitHub, MS Visual Studio Live, Autodesk, Matlab, Simulink, COMSOL, ANSYS etc.

Each 20 credits module will require:

  • 40 hours scheduled timetable contact learning
  • 40 hours guided independent learning
  • 120 hours independent learning

Professional Research Methods and Project 60 credit module will require:

  • 28 hours Scheduled timetabled contact learning
  • 572 hours Independent learning

Your future career

Graduates completing the MSc Advanced Manufacturing and Technology with Robotics could move into the following diverse engineering fields:

  • Research and Development (R&D) sector, researching and developing industry 5.0 co-location robots to support innovation in automation of life science laboratory and medicine activities.
  • Taking advantage of potentially transformative enabling technologies, such as Internet of Things, industry 4.0 robotics, and industry 5.0 robotics to transform manufacturing activities.
  • Sales and marketing of Industry 4.0/5.0 robotic and Internet of Things technology solutions for national, and export opportunities, has potential as a major growth opportunity for UK manufacturers.
  • Research and developing Smart Factory solutions to interconnect manufacturing data systems to provide artificial intelligence, industrial Internet of Things solutions to improve manufacturing throughput, quality and cost efficiencies.
  • Conceive, design, implement and operate robotics automated technology for the AgriTech, Food Manufacture industry sector to provide co-worker, pick and place, palletisation and sorting solutions
  • Leading and managing the efficient and effective management of the robotic and Internet of Things solutions implemented across a business, responsibility for commissioning, implementing, operating and servicing advanced automated manufacturing solutions.

The CDIO framework is acknowledged by WBCL as being effective in both education and the design of real-world products and systems… in due course hopes to benefit from the investment through recruitment of CCCU graduates.

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