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Master'sElectromobility, Batteries & Hydrogen Applications open

Master’s in Cell Manufacturing and Gigafactory Engineering

Online master's programme of 1,900 hours in cell manufacturing and gigafactory engineering: 12 modules covering the cell manufacturing industry, raw and active materials, electrode manufacturing, cell assembly, formation and ageing, dry rooms and cleanrooms, quality and yield, plant digitalisation, gigafactory design, safety, energy and environment, and commissioning and ramp-up, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Describe the complete manufacturing process for lithium-ion cells.

02

Analyse the critical parameters of each manufacturing stage.

03

Design the layout and facilities of a gigafactory.

04

Control production quality and yield.

05

Manage the plant's energy, sustainability and safety.

06

Plan production commissioning and ramp-up.

07

Develop the preliminary design of a cell manufacturing plant.

Profile

Who it's for

  • Cell manufacturing process engineers optimising electrode and assembly lines.
  • Battery plant engineers responsible for day-to-day production.
  • Production quality engineers working on yield, SPC and traceability.
  • Equipment and commissioning engineers starting up new lines.
  • Dry room engineers managing humidity-controlled environments.
  • Gigafactory project directors leading new plant developments.
  • Engineering or science graduates aiming to join cell manufacturers.
Standards & tools

What you'll work with

  • IATF 16949 (automotive quality management)
  • ISO 14644-1 (cleanroom air cleanliness classification)
  • ISO 9001 (quality management systems)
  • ISO 14001 (environmental management systems)
  • ISO 45001 (occupational health and safety management)
  • ISO 50001 (energy management systems)
  • Regulation (EU) 2023/1542 (EU Batteries Regulation)
  • Directive 2010/75/EU (Industrial Emissions Directive)
  • Siemens Plant Simulation
  • Siemens Opcenter
  • MATLAB
  • Python
  • AVEVA PI System
Syllabus

12 modules · 1900 h

  1. 1.1Global manufacturing capacity
  2. 1.2Asian cell manufacturers
  3. 1.3European manufacturing projects
  4. 1.4The battery value chain
  5. 1.5Costs per kWh
  6. 1.6Economies of scale
  7. 1.7Battery industrial policies
  8. 1.8Sector risks
  9. 1.9Technology trends in the sector
  10. 1.10Case study: analysis of a European gigafactory project
  1. 2.1Lithium, nickel, cobalt and manganese
  2. 2.2Natural and synthetic graphite
  3. 2.3Cathode synthesis
  4. 2.4Cathode active material precursors
  5. 2.5Electrolytes and separators
  6. 2.6Current collectors
  7. 2.7Materials logistics
  8. 2.8Incoming inspection
  9. 2.9Supply chain due diligence
  10. 2.10Practical: materials supply plan
  1. 3.1Slurry mixing
  2. 3.2Slurry rheology
  3. 3.3Slot-die coating
  4. 3.4Electrode drying
  5. 3.5NMP recovery
  6. 3.6Dry electrodes
  7. 3.7Electrode calendering
  8. 3.8Coil slitting
  9. 3.9Thickness and coating weight control
  10. 3.10Lab: analysis of coating uniformity
  1. 4.1Electrode die-cutting
  2. 4.2Stacking of electrodes and separators
  3. 4.3Winding of electrodes into cells
  4. 4.4Tab welding
  5. 4.5Insertion into the casing
  6. 4.6Electrolyte filling
  7. 4.7Cell sealing
  8. 4.8Pouch assembly
  9. 4.9Cylindrical cell assembly
  10. 4.10Workshop: comparison of processes by format
  1. 5.1First charge and SEI
  2. 5.2Formation protocols
  3. 5.3Cell degassing after formation
  4. 5.4Temperature ageing
  5. 5.5Self-discharge measurement
  6. 5.6Cell grading
  7. 5.7Formation equipment
  8. 5.8Energy consumption of the process
  9. 5.9Energy recovery
  10. 5.10Practical: optimisation of a formation protocol
  1. 6.1Humidity requirements
  2. 6.2ISO 14644-1 classification
  3. 6.3Dehumidification systems
  4. 6.4Dry room consumption
  5. 6.5Airflow design
  6. 6.6Particle control
  7. 6.7Personnel in the dry room
  8. 6.8Environmental humidity monitoring
  9. 6.9Reducing dry room volume
  10. 6.10Lab: energy balance of a dry room
  1. 7.1Critical process parameters
  2. 7.2Statistical process control
  3. 7.3In-line inspection
  4. 7.4Machine vision on the plant floor
  5. 7.5X-ray and tomography
  6. 7.6Cell traceability
  7. 7.7Yield and scrap
  8. 7.8Root cause analysis
  9. 7.9Quality according to IATF 16949
  10. 7.10Case study: improving the yield of a line
  1. 8.1Manufacturing execution systems
  2. 8.2Process data
  3. 8.3Plant digital twin
  4. 8.4Machine learning in production
  5. 8.5Data-driven predictive maintenance
  6. 8.6ERP integration
  7. 8.7Industrial cybersecurity of the plant
  8. 8.8Production dashboards
  9. 8.9Plant simulation
  10. 8.10Practical: simulating a line in Plant Simulation
  1. 9.1Site selection
  2. 9.2Capacity and phases
  3. 9.3Process layout
  4. 9.4Buildings and facilities
  5. 9.5Plant electricity supply
  6. 9.6Water and effluents
  7. 9.7In-plant logistics
  8. 9.8Storage of hazardous materials
  9. 9.9Investment and costs
  10. 9.10Workshop: layout of a 20 GWh plant
  1. 10.1Process safety
  2. 10.2Solvents and emissions
  3. 10.3Integrated environmental permit
  4. 10.4Waste management
  5. 10.5ISO 50001 energy management
  6. 10.6Renewable energy in the facilities
  7. 10.7Carbon footprint of manufacturing
  8. 10.8ISO 45001 occupational safety
  9. 10.9Fire management
  10. 10.10Practical: carbon footprint analysis per kWh
  1. 11.1Commissioning planning
  2. 11.2Equipment validation
  3. 11.3Pilot line production
  4. 11.4Learning curve
  5. 11.5Staff training
  6. 11.6Management of machinery suppliers
  7. 11.7Production scale-up
  8. 11.8Risk management
  9. 11.9Ramp-up indicators
  10. 11.10Case study: lessons from plant start-ups
  1. 12.1Product and capacity definition
  2. 12.2Process design
  3. 12.3Equipment selection
  4. 12.4Plant layout
  5. 12.5General plant facilities
  6. 12.6Quality plan
  7. 12.7Environmental and energy plan
  8. 12.8Investment analysis
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so the programme can be combined with full-time work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Siemens Plant Simulation, Siemens Opcenter, MATLAB, Python and AVEVA PI System, in free, academic or evaluation versions. Practical work is based on real procedures: designing the manufacturing flow of a 20 GWh cell plant, analysing scrap and manufacturing yield in electrode coating, and sizing dry rooms and their energy consumption. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: IATF 16949, ISO 14644-1, ISO 9001, ISO 14001, ISO 45001, ISO 50001, Regulation (EU) 2023/1542, Directive 2010/75/EU.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IATF 16949, ISO 14644-1 and ISO 9001 applied to real cases, not as a theoretical annex.
Industry software:Siemens Plant Simulation, Siemens Opcenter, MATLAB, Python and AVEVA PI System, in free, academic or evaluation versions.
Master's Thesis with defence:the preliminary design of a cell manufacturing plant, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Define product and capacity
Set the cell product, plant capacity and manufacturing process design.
Select equipment and layout
Choose the process equipment and draw up the plant layout and general facilities.
Plan quality
Prepare the quality plan covering critical parameters, inspection and traceability.
Plan energy and investment
Develop the environmental and energy plan and the investment analysis.
Master's Thesis
The preliminary design of a cell manufacturing plant, defended before a panel.
Career opportunities

Where this takes you

Cell manufacturing process engineerBattery plant engineerProduction quality engineerEquipment and commissioning engineerDry room engineerGigafactory project director
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An 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.

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FAQ

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 Plant Simulation, Siemens Opcenter, MATLAB, Python and AVEVA PI System, 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), 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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