About the course
Developed in response to growing threats posed by Industry 4.0 and the development of Smart Factories. This course has been developed for manufacturing engineers/managers to help protect manufacturing systems and machines against cyber threats.
Who is it for?
This course develops the expertise of graduates interested in pursuing careers tackling cybersecurity challenges and technologies in manufacturing.
Why this course?
Developed with academics and industry from manufacturing and the defence and security sector to address the current career demand in Internet of Things (IoT), Big Data, Cloud Computing and Cybersecurity it combines Cranfield's long standing expertise for delivering high-quality Masters programmes in the manufacturing, and security and defence sectors.
This course addresses the main challenges in smart manufacturing, such as to:
- Identify cyber threats in manufacturing systems from cloud
- Protect manufacturing systems from cyber attacks
- Improve incident response and disaster recovery in manufacturing systems
- Assess the cost of cybersecurity solutions for manufacturing systems.
Students benefit from our wide-range of equipment, analysis tools and specialist software packages.
Informed by Industry
In partnership with the MTA (The Manufacturing Technologies Association).
Cranfield courses receive strong support from our industrial partners. There is a strong emphasis on applying knowledge in the industrial environment and all teaching is in the context of industrial application. This course provides industrially relevant projects and transferable skills for developing graduates entering into this cutting-edge market.
Accreditation is being sought for the MSc in Cyber Secure Manufacting from the Insitution of Mechanical Engineers (IMechE), Instituion of Engineering & Technology (IET) and the Royal Aeronautical Society (RAes) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
- Institution of Mechanical Engineers (IMechE)
- Royal Aeronautical Society (RAes)
- Institution of Engineering & Technology (IET)
- British Computer Society (BCS).
Eight one-week assessed modules, a group project and an individual project. Students are also supported in their learning and personal development through exposure to; industry seminars, group poster session, group discussions, group presentations, video demonstrations, case studies, laboratory experiments, coursework and project work.
The group project experience is highly valued by both students and prospective employers and is usually in collaboration with industry. It provides students with the opportunity to take responsibility for a consultancy-type project, finding solutions to real-life challenges in manufacturing informatics. As a result of external engagement Cranfield students enjoy a higher degree of success when it comes to securing employment. Prospective employers value the student experience where team working to find solutions to industrially based problems are concerned.
The individual thesis project, usually in collaboration with industry, offers students the opportunity to develop their research capability, depth of understanding and ability to provide solutions to real problems in manufacturing production systems.
Taught modules 40%, Group project 20%, Individual project 40%
Cranfield's applied approach and close links with industry mean 93% of our graduates find jobs relevant to their degree or go on to further study within six months of graduation. Our careers team support you while you are studying and following graduation with workshops, careers fairs, vacancy information and one-to-one support.
On successful completion of this course graduates should have a diversity of job opportunities, mainly in the following job markets:
- Manufacturing informatics
- Manufacturing engineering
- IoT (Internet of Things)
- Cloud computing
- Big data analysis.