Master’s in PTW Manufacturing and Industry 4.0 Engineering
Online master's programme of 1,900 hours in PTW manufacturing engineering and Industry 4.0, structured in 12 modules covering component manufacturing processes, assembly lines, lean manufacturing, automation and robotics, MES, plant connectivity and data, simulation and digital twins, industrial cybersecurity, energy and change management under IEC 62264-1, IEC 62443-2-1 and ISO 22400-2, with an assigned technical tutor.
Master’s in PTW Manufacturing and Industry 4.0 Engineering — studying from the United States
Motorcycle and two-wheeler engineering in the United States centers on established manufacturers and a strong aftermarket. Major brands such as Harley-Davidson, along with Honda, Yamaha, Kawasaki and Indian Motorcycle, maintain design and development operations in the country. The industry also includes electric two-wheeler startups and component suppliers. Engineers work on chassis, powertrain, electronics and rider safety, under federal motor vehicle and emissions regulations.
Fees for the United States: US$8,850 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
What US professional recognition exists for motorcycle and two-wheeler engineering?
There is no single licensed title for motorcycle engineers in the US. Relevant organizations include SAE International, which publishes vehicle standards, and the Motorcycle Industry Council for industry context. Vehicle safety is regulated by NHTSA and the EPA for emissions. SEIUM qualifications are private and not accredited, so recognition depends on the employer.
What career paths exist for two-wheeler engineers in the United States?
Opportunities exist with motorcycle manufacturers, component suppliers, powertrain and electric two-wheeler startups, and testing or homologation service providers. Roles include design engineer, test engineer, and performance development specialist. Demand and hiring vary by company and market, so research current openings and speak with employers in your target segment.
Can I study this while keeping a job in the US?
Yes, the programmes are 100% online and taught in English, so you study from home and need no student visa. Plan for the stated workload of 300 to 1,900 hours depending on the programme. Fees are payable in instalments, and employer sponsorship may be possible, so discuss support with your employer before you commit.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Describe the manufacturing processes for motorcycles and scooters.
Design and balance assembly lines.
Apply automation and robotics to welding, painting and assembly processes.
Implement MES, sensor systems and data analytics.
Use plant simulation and digital twins.
Apply lean manufacturing and energy and environmental management.
Develop a digitalisation project for a two-wheeled vehicle plant.
Who it's for
- Manufacturing process engineers in the automotive and two-wheeler sectors.
- Industrialisation engineers launching new models into production.
- Automation engineers working with PLCs, robots and cells.
- Industrial digitalisation managers leading Industry 4.0 initiatives.
- Continuous improvement engineers applying lean methods.
- Assembly plant managers responsible for output and quality.
- Engineering or science graduates aiming to join motorcycle and scooter manufacturers.
What you'll work with
- IEC 62264-1 (enterprise-control system integration)
- IEC 62443-2-1 (security programme requirements for industrial automation and control system asset owners)
- ISO 22400-2 (key performance indicators for manufacturing operations management)
- IEC 61131-3 (programmable controller programming languages)
- ISO 23247-1 (digital twin framework for manufacturing)
- IATF 16949 (automotive quality management system)
- ISO 14001 (environmental management systems)
- ISO 50001 (energy management systems)
- Siemens Opcenter
- Tecnomatix Plant Simulation
- Siemens TIA Portal
- Power BI
- Node-RED
12 modules · 1900 h
1.1Global motorcycle production1.2Plants in Europe and Asia1.3Volumes and model variety1.4Supply chain1.5Vertical integration in the chain1.6Manufacturing of electric models1.7Manufacturing costs1.8Competitive challenges in the sector1.9Industry 4.0 in the sector1.10Case study: map of a motorcycle plant
2.1Frame welding2.2Casting of wheels and crankcases2.3Engine machining2.4Plastic injection moulding2.5Bodywork painting2.6Engine assembly2.7Battery manufacturing2.8Process subcontracting2.9Process quality2.10Practical exercise: manufacturing route for a frame
3.1Final assembly line design3.2Line balancing3.3Cycle time and takt3.4Mixed-model assembly3.5Plant internal logistics3.6Kitting and sequencing3.7Ergonomic workstation design3.8End-of-line tests3.9Rollers and checks3.10Workshop: balancing an assembly line
4.1Principles of lean production4.2Value stream mapping4.3Waste elimination4.45S and visual management4.5SMED in model changeovers4.6Kanban replenishment systems4.7Poka-yoke error-proofing devices4.8Standardised work sheets4.9Continuous improvement through kaizen4.10Practical exercise: value stream map of a line
5.1Welding robots5.2Painting robots5.3Collaborative robots in assembly5.4Machine vision on the shop floor5.5Torque- and angle-controlled tightening5.6PLC programming to IEC 61131-35.7Machine safety5.8Cell integration5.9Return on investment5.10Lab: programming a cell in TIA Portal
6.1IEC 62264 automation pyramid6.2Manufacturing execution systems6.3Component traceability6.4Order management6.5ISO 22400 indicators6.6OEE and its calculation6.7Integration with ERP6.8Document management on the shop floor6.9Quality in the MES6.10Practical exercise: OEE dashboard in Power BI
7.1Machine sensorisation7.2Industrial communication with OPC UA7.3MQTT and edge computing7.4Industrial internet platforms7.5Data storage7.6Process analytics7.7Data-driven predictive maintenance7.8Machine learning on the shop floor7.9Visualisation of results7.10Lab: data flow with Node-RED
8.1Discrete event simulation8.2Line modelling8.3Bottleneck analysis8.4Digital twin to ISO 232478.5Virtual commissioning8.6Robot simulation8.7Capacity scenarios8.8Model validation8.9Use in decision-making8.10Workshop: simulation in Plant Simulation
9.1Risks in industrial environments9.2IEC 62443 standard9.3Network segmentation9.4Secure remote access9.5Patch management9.6Asset inventory9.7Incident response9.8Staff training9.9Suppliers and cybersecurity9.10Case study: risk analysis of a line
10.1Plant energy consumption10.2Energy management to ISO 5000110.3Environmental management to ISO 1400110.4Paint shop emissions10.5Waste management10.6Water and effluents10.7Renewable energy in the plant10.8Manufacturing carbon footprint10.9Plant environmental indicators10.10Practical exercise: energy audit of a paint line
11.1Managing digital transformation11.2Staff digital skills11.3Operator training11.4Work organisation11.5Health and safety11.6Digitalisation project management11.7Business cases11.8Maturity indicators11.9Roadmap11.10Case study: digitalisation roadmap
12.1Plant diagnosis12.2Process analysis12.3Line redesign12.4Automation proposal12.5Data architecture12.6System simulation12.7Cybersecurity plan12.8Economic analysis of alternatives12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within each intake, making it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Siemens Opcenter, Tecnomatix Plant Simulation, Siemens TIA Portal, Power BI and Node-RED, in free, academic or evaluation versions. Practical work is based on real procedures: simulation of a motorcycle assembly line, implementation of OEE indicators in a frame welding cell and design of a digital twin of the paint line. Assessment is continuous by module plus the final Master's Thesis.
Standards covered: IEC 62264-1, IEC 62443-2-1, ISO 22400-2, IEC 61131-3, ISO 23247-1, IATF 16949, ISO 14001, ISO 50001.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Siemens Opcenter, Tecnomatix Plant Simulation, Siemens TIA Portal, Power BI and Node-RED, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture, or equivalent professional experience, plus a computer able to run the programme software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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