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.

Overview

  • Start dateOctober
  • DurationFull-time MSc - one year, Full-time PgCert - one year, Full-time PgDip - one year
  • DeliveryTaught modules 40%, Group project 20%, Individual project 40%
  • QualificationMSc, PgDip, PgCert
  • Study typeFull-time / Part-time
  • CampusCranfield campus

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.

Your teaching team

Delivered by academic staff from the Manufacturing Informatic Centre and the Centre of Cyber Security and Information Systems:

Cranfield University has strong industry links and the visiting lecturers for this course include, amongst other key industry speakers:

  • Professor Ben Azvine - Global Head of Security Research and Innovation at BT
  • Russell Cameron - Market Director, Civil Government and Infrastructure at Atkins.

Accreditation

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.

Course details

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.

Group project

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.

Individual project

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.

Assessment

Taught modules 40%, Group project 20%, Individual project 40%

University Disclaimer

Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.

To give you a taster, we have listed the compulsory modules and (where applicable) some elective modules affiliated with this programme which ran in the academic year 2017–2018. There is no guarantee that these modules will run for 2018 entry. All modules are subject to change depending on your year of entry.

Compulsory modules
All the modules in the following list need to be taken as part of this course

Modern Manufacturing and Security Challenges

Module Leader
  • Professor Tetsuo Tomiyama
Aim

    To provide an overview of modern manufacturing environment and associated engineering challenges in cybersecurity.

Syllabus
    • Manufacturing and manufacturing systems
    • Manufacturing paradigms
    • Digital engineering for virtual product development
    - CAD (Computer-Aided Design) /CAM (Computer Aided Manufacturing) /CAE (Computer Aided Engineering) /CAPP(Computer Aided Process Planning)
    - PDM (Product Data Management)
    - PLM (Product Lifecycle Modelling)
    • Enterprise integration
    - ERP (Enterprise Resource Planning)
    - SCM (Supply Chain Management)
    • Factory automation: SCADA (Supervisory Control and Data Acquisition), Embedded systems, CPS ( Cyber-Physical System)
    • Types of cyber threats
    • Engineering aspects of the threats and system failures
    • Engineering and technological solutions against the threats
    Comparative study of the security solutions




Intended learning outcomes
    On successful completion of this module a student should be able to:
    1. Differentiate various manufacturing systems and paradigms.
    2. Appraise the roles and functions of information technologies for digital engineering including modelling methods and algorithms for PDM and PLM.
    3. Appraise the roles and functions of information technologies for enterprise integration including modelling methods and algorithms for ERP and SCM.
    4. Setup methods for factory automation, including SCADA, embedded systems, and CPS.
    5. Assess the limitations and constraints of the state-of-the-art digital engineering and factory automation.
    6. Assess the mitigation of cyber threats to manufacturing.


Operations Management

Module Leader
  • Professor Harris Makatsoris
Aim

    To introduce core factors of managing operations.


Syllabus
    • An introduction to manufacturing and service activities
    • Capacity, demand and load; identifying key capacity determinant; order-size mix problem; coping with changes in demand
    • Standard times, and how to calculate them; process analysis and supporting tools; process simplification
    • What quality is; standards and frameworks; quality tools; quality in the supply chain
    • Scheduling rules; scheduling and nested set-ups
    • Roles of inventory; dependent and independent demand; Economic Order Quantity; uncertain demand; inventory management systems and measures
    • Information systems – at operational, managerial, and strategic levels; bills of material; MRP, MPRll and ERP systems
    • Ohno’s 7 wastes; Just-in-Time systems (including the Toyota Production System, and Kanbans)
    • Class discussion of cases, exercises, and videos to support this syllabus
Intended learning outcomes On successful completion of this module a student should be able to:

1. Apply the ‘Framework for the Management of Operations’ to all operations, from pure service to pure manufacturing.
2. Identify the key capacity determinant in an operation, and carry out an analysis to develop the most appropriate approach in response to changes in demand.
3. Select and apply appropriate approaches and tools to determine standards and improve processes.
4. Determine the information needed to support businesses, in particular manufacturing operations.
5. Analyse problems rigorously to develop options, and select an appropriate option taking into consideration relevant factors such as risk, opportunities, cost, flexibility, and time to implement.
6. Select appropriate Just-in-Time (JIT) tools to improve operations.
7. Develop appropriate quality systems for the whole of their supply chain – from supplier, through operations to customers – and ensure these systems are sustained and a culture of continuous improvement prevails.

Secure IoT and System Architecture

Module Leader
  • Dr Christos Emmanouilidis
Aim

    To provide working knowledge on IoT hardware and software options, and enable students to analyse alternative secure architectures.

Syllabus
    • The key concepts of Internet of Things and its enabling technologies
    • Key applications, protocols and architectures
    • IoT Physical Devices and their Data Types
    • IoT Human-machine Interfaces
    • IoT System Design & Architectures
    • IoT System Management
    • IoT Business Models & Data Ownership
    • IoT Big Data & its Uses
    • IoT Enablers – How to Get to the IoT
    • IoT Reliability, Privacy, Trust and Ethical issues
    • IoT security
    • Protecting IoT enabled manufacturing systems


Intended learning outcomes On successful completion of this module a student should be able to:
1. Appraise the key concepts of Internet of Things, and inspect its enabling technologies.
2. Design and develop Internet of Things systems and applications.
3. Evaluate use cases of theoretical concepts.
4. Assess recent and evolving developments, protocols and technologies for IoT enabled systems.
5. Apply the cognitive, practical and key transferable skills necessary for IoT enabled applications and services with smart devices and machine-to-machine communications.
6. Create security metrics from the vulnerabilities, threats, risks and solutions for IoT enabled systems.
7. Examine alternative system architectures for secure IoT applications.


Secure Cloud Manufacturing

Module Leader
  • Dr Yifan Zhao
  • Dr Christopher Turner
Aim

    To provide fundamental knowledge on cloud based manufacturing, security challenges and risks associated with different cloud deployment models along with technologies necessary to protect manufacturing systems.

Syllabus
      • Cloud Concepts and Technologies:
      - Virtualisation, Load balance, Scalability & Elastically, Deployment, Monitoring
      - Service defined networking, Network function virtualization
      - Cloud Trust Model

      • Cloud Manufacturing
      - Architecture
      - Service and platforms: IaaS, PaaS, and SaaS

      • Secure Management of Cloud Infrastructure:
      - virtual layer self-managed services,
      - application layer self-managed service, and
      - Security best practices for automated Cloud infrastructure management
      - Secure cloud technologies
      - Secure Cloud ERP

      • Big Data in cloud
      - Hadoop, MapReduce, NoSQL database
      - Big data storage, retrieval and analysis
      - Importing and exporting data

      • Security challenges related to data provenance:
      - Fault detection and isolation in the Cloud
      - Threats analysis and mitigation in the Cloud
      - Data privacy
      - Data protection
      - Secure data management

Intended learning outcomes On successful completion of this module a student should be able to:
1. Appraise the availability of key technologies for Cloud Manufacturing.
2. Evaluate cybersecurity challenges in cloud manufacturing.
3. Distinguish different types of cloud services, platforms, and cloud manufacturing architecture.
4. Evaluate applications of big data storage, retrieval and analysis software.
5. Create solutions to import and export big data sets from the cloud services.
6. Manage data protection in Cloud Manufacturing.
7. Analyse and solve cybersecurity and system safety issues in cloud.
8. Propose security solution for cloud ERP (enterprise resource planning).


Manufacturing Systems Engineering

Module Leader
  • Professor Harris Makatsoris
Aim

    To develop students’ understanding of manufacturing systems engineering in order to analyse and (re)design manufacturing systems that maximise value to customers while minimising waste.

Syllabus
    • Design of layouts.
    • Human centred factory design.
    • Group Technology & Cellular manufacturing.
    • Different approaches to factory layout such as process and product layouts.
    • Reasons for choice of cellular manufacturing and benefits.
    • Manufacturing Systems modelling using discrete-event simulation.
    • Analysis of manufacturing systems using simulation.
Intended learning outcomes On successful completion of this module a student should be able to:

1. Differentiate the applicability of different layout types applicable in manufacturing businesses.
2. Assess how production layout and system design influences productivity
3. Appraise the effectiveness of cellular configurations .
4. Design a graphical simulation model using an industry leading discrete-event simulation tool.
5. Contrast discrete-event simulation to other modelling techniques especially in addressing emerging manufacturing paradigms.
6. Devise an experimental procedure and interpret the consequential results of the simulation model.

Data Mining Technology for Cyber Threat Identification

Module Leader
  • Dr Hongmei He
Aim
    To provide working knowledge of using different data mining techniques to identify cyber threats to a manufacturing system.

Syllabus
    • Concepts of data mining technology
    • Decision trees for classification problems
    • Social Network Analysis and Complex System
    • Optimisation with Metaheuristic and Genetic Algorithms
    • Neural networks
    • Support vector machines
    • Clustering Algorithms for Cybersecurity
    • Data Mining Technique Toolboxes and functions in MatLab
    • Spam detection
    • Trust/risk assessment
    • System abnormality analysis and attack detection
    • Multi-modality authentication
    • Data mining technology for data driven Cybersecurity: threat identification for both legacy and new built systems and machines



Intended learning outcomes On successful completion of this module a student should be able to:
1. Appraise data mining techniques for data-driving cyber-security.
2. Analyse security tolerance in complex systems.
3. Analyse abnormality from data sets produced by manufacturing systems.
4. Propose solutions for system authentication.
5. Develop data mining models for data-driven cybersecurity, particularly risk assessment, threat identification, and trust evaluation of products and services.
6. Implement the developed models with Data Mining Technique Toolboxes and functions in MatLab.
7. Evaluate the performance of the developed models.


Security of Machine Tool Systems

Module Leader
  • Dr Hongmei He
Aim
    To enable students to detect and prevent system intrusion, improve defence against targeted attacks and incident response, master modern technologies for security of machine tool systems and cyber-physical systems.

Syllabus
      • Security Landscape
      • Mobile security
      • Embedded system security
      • Detect and Prevent System Intrusion
      • Cyber Incident Response and Disaster Recovery
      • Machine tool systems
      • Cyber physical systems
      • Safety and security of cyber physical systems
      • Cyber-attacks and measures in cyber-physical systems
      • Cyber risks in industry control systems
      • Costing security solutions


Intended learning outcomes On successful completion of this module a student should be able to:
1. Compare the theory, technology and recent advancements in cyber security for cyber-physical systems.
2. Develop technical expertise in security of cyber-physical systems.
3. Analyse embedded systems and mobile security.
4. Create working knowledge on incident response to machine tool systems.
5. Categorise intrusion and security breaches to machine tool systems.
6. Propose security solutions for machine tool systems.
7. Assess the cost of security solutions for machine tool systems.


Cyber Thinking and Practice in Manufacturing

Module Leader
  • Jeremy Hilton
  • Lorraine Dodd
Aim
    To provide the necessary skills and knowledge that enable professionals working in cyber manufacturing contexts to adapt to continual change. (It focuses on investigative methods, systems thinking and anticipating futures with a view to problem solving in a real-world context. Security is one of the many complexities that need to be considered when comprehending the cyber domain.)

Syllabus
    Adapting to change in complex cyber environments
    • representing and navigating complexity
    • soft systems methodology
    • organisational dynamics and change
    • monitoring and adapting
    • anticipating future requirements
    • dealing with disruptive and novel technologies, events and emergent changes


Intended learning outcomes On successful completion of this module a student should be able to:

Knowledge
1. critically evaluate a range of approaches to understanding complex manufacturing environments
2. critically assess approaches to innovation in competitive problem spaces in manufacturing.
3. appraise the techniques that can be used to design investigation, problem formulation and structuring, and interpretation of data skills.
4. design methods to investigate security problems in the cyber manufacturing contexts.
5. conduct techniques for anticipating futures such as horizon scanning and scenario based planning of technology and threats to manufacturing environment.
6. analyse and scope a complex problem-space with a view to action and improvement for manufacturing.



Fees and funding

European Union students applying for university places in the 2018 to 2019 academic year will still have access to student funding support. Please see the UK Government’s announcement (21 April 2017).

Cranfield University welcomes applications from students from all over the world for our postgraduate programmes. The Home/EU student fees listed continue to apply to EU students.


MSc Full-time £10,000
PgDip Full-time £8,000
PgCert Full-time £4,400

Fee notes:

  • The fees outlined apply to all students whose initial date of registration falls on or between 1 August 2018 and 31 July 2019.
  • All students pay the tuition fee set by the University for the full duration of their registration period agreed at their initial registration.
  • A deposit may be payable, depending on your course.
  • Additional fees for extensions to the agreed registration period may be charged.
  • Fee eligibility at the Home/EU rate is determined with reference to UK Government regulations. As a guiding principle, EU nationals (including UK) who are ordinarily resident in the EU pay Home/EU tuition fees, all other students (including those from the Channel Islands and Isle of Man) pay Overseas fees.
MSc Full-time £20,000
PgDip Full-time £16,200
PgCert Full-time £8,100

Fee notes:

  • The fees outlined apply to all students whose initial date of registration falls on or between 1 August 2018 and 31 July 2019.
  • All students pay the tuition fee set by the University for the full duration of their registration period agreed at their initial registration.
  • A deposit may be payable, depending on your course.
  • Additional fees for extensions to the agreed registration period may be charged.
  • Fee eligibility at the Home/EU rate is determined with reference to UK Government regulations. As a guiding principle, EU nationals (including UK) who are ordinarily resident in the EU pay Home/EU tuition fees, all other students (including those from the Channel Islands and Isle of Man) pay Overseas fees.

Funding Opportunities

To help students find and secure appropriate funding, we have created a funding finder where you can search for suitable sources of funding by filtering the results to suit your needs. Visit the funding finder.

Global Manufacturing Leadership Masters Scholarship  The Cranfield Global Manufacturing Leadership (GML) scholarships provided by Cranfield Manufacturing contribute towards the costs of study (tuition fee plus £1000 maintenance grant). Awards are made for a maximum duration of one calendar year for full time study.

Postgraduate Loan from Student Finance England
A Postgraduate Loan is now available for UK and EU applicants to help you pay for your Master’s course. You can apply for a loan at GOV.UK

Santander MSc Scholarship
The Santander Scholarship at Cranfield University is worth £5,000 towards tuition fees for full-time master's courses. Check the scholarship page to find out if you are from an eligible Santander Universities programme country.

Chevening Scholarships
Chevening Scholarships are awarded to outstanding emerging leaders to pursue a one-year master’s at Cranfield university. The scholarship includes tuition fees, travel and monthly stipend for Master’s study.

Cranfield Postgraduate Loan Scheme (CPLS)
The Cranfield Postgraduate Loan Scheme (CPLS) is a funding programme providing affordable tuition fee and maintenance loans for full-time UK/EU students studying technology-based MSc courses.

Commonwealth Scholarships for Developing Countries
Students from developing countries who would not otherwise be able to study in the UK can apply for a Commonwealth Scholarship which includes tuition fees, travel and monthly stipend for Master’s study.

Future Finance Student Loans
Future Finance offer student loans of up to £40,000 that can cover living costs and tuition fees for all student at Cranfield University.

The Spotcap Fintech Fellowship
The Spotcap Fintech Fellowship is worth £8,000 for UK students pursuing a postgraduate degree in study related to financial technology.



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. 



English Language

If you are an international student you will need to provide evidence that you have achieved a satisfactory test result in an English qualification. Our minimum requirements are as follows:

IELTS Academic – 6.5 overall
TOEFL – 92
Pearson PTE Academic – 65
Cambridge English Scale – 180
Cambridge English: Advanced – C
Cambridge English: Proficiency – C

In addition to these minimum scores you are also expected to achieve a balanced score across all elements of the test. We reserve the right to reject any test score if any one element of the test score is too low.

We can only accept tests taken within two years of your registration date (with the exception of Cambridge English tests which have no expiry date).

Students requiring a Tier 4 (General) visa must ensure they can meet the English language requirements set out by UK Visas and Immigration (UKVI) and we recommend booking a IELTS for UKVI test.

Applicants who do not already meet the English language entry requirement for their chosen Cranfield course can apply to attend one of our Presessional English for Academic Purposes (EAP) courses. We offer Winter/Spring and Summer programmes each year to offer holders.

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.

Applying

Online application form. UK students are normally expected to attend an interview and financial support is best discussed at this time. Overseas and EU students may be interviewed by telephone.

Apply Now