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Cyber-Secure Manufacturing MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Manufacturing (General) Internet Security Systems Computer Security Systems

Course type

Taught

Course Summary

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.

Your career

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
  • Cybersecurity
  • IoT (Internet of Things)
  • Cloud computing
  • Big data analysis.

Students can also exit with PGDip and PGCert awards.

Different course options

Study mode

Full time

Duration

1 year

Start date

OCT-20

Modules

To provide working knowledge of using different data mining techniques to identify cyber threats to a manufacturing system.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£10,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£21,500

Average for all Postgrad courses (per year)

£12,227

Entry requirements

A first or second class UK Honours degree or equivalent in computer/computing/information science, or the international equivalent of these qualifications. Other relevant qualifications, together with significant experience, may be considered. Manufacturing, aerospace, transportation, electronics or other engineering graduates who wish to develop their careers in these sectors. Suitable for graduates with computer/computing/information science degrees who are interested in pursuing a career in informatics and manufacturing sectors.

Department profile

As the UK’s only exclusively postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships is creating leaders in technology and management globally. We are unlocking the potential of people and organisations by partnering with business and governments to deliver transformational research, postgraduate education and professional development in the areas of aerospace, transport systems...more

University information

Cranfield University is an exclusive postgraduate university with the main campus situated in Cranfield, Bedfordshire, and a second site in Shrivenham, Oxfordshire. The university specialises in science, engineering, technology and management, and how these work together to benefit the world. 81% of their research is recognised as "world leading" and "internationally excellent" by Research Excellence Framework (REF) 2014. It has also been...more