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Master'sBusiness, Management & Technology Policy Applications open

Master’s in Aftermarket, After-Sales and Connected Services Engineering

Online master's programme of 1,900 hours in aftermarket, aftersales and connected services engineering. 12 modules covering the aftersales business, spare parts, workshop service, warranty and field quality, telematics, OTA updates, connected services, customer experience, remanufacturing and service analytics, 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

Analyse the structure and profitability of the aftersales business.

02

Plan spare parts inventories with intermittent demand.

03

Manage warranty and field quality using reliability analysis.

04

Design connected services based on vehicle data.

05

Apply the regulations on OTA updates and cybersecurity.

06

Improve customer experience and loyalty in aftersales.

07

Develop circular and servitisation business models.

Profile

Who it's for

  • Aftersales directors.
  • Connected services managers.
  • Spare parts planners.
  • Field quality engineers.
  • Workshop network managers.
  • Product owners for digital services.
  • Engineering or science graduates seeking to enter the automotive industry.
Standards & tools

What you'll work with

  • Regulation (EU) 461/2010 (motor vehicle block exemption)
  • UN Regulation No. 156 (software updates and software update management system)
  • UN Regulation No. 155 (vehicle cybersecurity management system)
  • Regulation (EU) 2018/858 (vehicle type approval and market surveillance)
  • Regulation (EU) 2023/2854 – Data Act (access to and use of data)
  • Directive 2000/53/EC (end-of-life vehicles)
  • Regulation (EU) 2023/1542 (batteries and waste batteries)
  • Directive (EU) 2019/771 (sale of goods and legal guarantee)
  • SAP S/4HANA
  • Salesforce Service Cloud
  • ReliaSoft Weibull++
  • Python
  • AWS IoT FleetWise
Syllabus

12 modules · 1900 h

  1. 1.1Structure of the aftersales market
  2. 1.2Official and independent channels
  3. 1.3Profitability of parts and services
  4. 1.4Customer and product life cycle
  5. 1.5Servitisation and business models
  6. 1.6Block Exemption Regulation (EU) 461/2010
  7. 1.7Right to repair and technical information
  8. 1.8Impact of the electric vehicle on aftersales
  9. 1.9The fleet and leasing market
  10. 1.10Case study: profitability of a dealer network
  1. 2.1Service parts planning
  2. 2.2Intermittent demand and Croston's method
  3. 2.3ABC-XYZ classification of part numbers
  4. 2.4Service levels and multi-echelon stock
  5. 2.5Obsolescence and last-time buy
  6. 2.6Central and regional warehouses
  7. 2.7Spare parts pricing
  8. 2.8Remanufacturing and standard exchange
  9. 2.9Fighting counterfeiting
  10. 2.10Lab: multi-echelon inventory optimisation
  1. 3.1Reception, diagnosis and repair
  2. 3.2Repair times and labour-time schedules
  3. 3.3Workshop productivity and efficiency
  4. 3.4Remote diagnosis and OBD tools
  5. 3.5Qualification for high-voltage work
  6. 3.6Safety in electric vehicle repair
  7. 3.7Repair quality and comebacks
  8. 3.8Technical campaigns and recalls
  9. 3.9Warranty costs in the workshop
  10. 3.10Practical: redesigning a workshop's workflow
  1. 4.1Warranty processes between OEM and supplier
  2. 4.2Reliability analysis with Weibull
  3. 4.3Early detection of field issues
  4. 4.4Cost recovery from suppliers
  5. 4.5Analysis of returned parts
  6. 4.6Safety campaigns and Regulation (EU) 2018/858
  7. 4.7Legal guarantee and Directive (EU) 2019/771
  8. 4.8Warranty fraud
  9. 4.9Feedback to design
  10. 4.10Case study: Weibull analysis of a recurring failure
  1. 5.1On-board telematics architecture
  2. 5.24G, 5G and C-V2X connectivity
  3. 5.3Vehicle data and its value
  4. 5.4Manufacturer cloud platforms
  5. 5.5Data-driven predictive maintenance
  6. 5.6eCall and emergency services
  7. 5.7Data access and the Data Act
  8. 5.8Services for connected fleets
  9. 5.9APIs and third-party ecosystems
  10. 5.10Lab: predictive model with CAN data
  1. 6.1Managing OTA updates
  2. 6.2UN Regulation R156 and the SUMS
  3. 6.3R155 cybersecurity during the aftersales phase
  4. 6.4Features on demand and subscriptions
  5. 6.5Software versions and configuration
  6. 6.6Validation and staged rollout
  7. 6.7Recovery from update failures
  8. 6.8User experience in updates
  9. 6.9Monetising software in aftersales
  10. 6.10Workshop: OTA rollout plan for a fleet
  1. 7.1Connected mobility services
  2. 7.2Usage-based insurance
  3. 7.3Charging services for electric vehicles
  4. 7.4Recurring revenue models
  5. 7.5In-vehicle service marketplaces
  6. 7.6Maintenance as a service
  7. 7.7B2B platforms for fleets
  8. 7.8Alliances and data ecosystems
  9. 7.9Service design with a service blueprint
  10. 7.10Case study: launching a subscription service
  1. 8.1The aftersales customer journey
  2. 8.2Satisfaction, NPS and loyalty
  3. 8.3Online booking and digital channels
  4. 8.4CRM and personalisation
  5. 8.5Communicating campaigns and notices
  6. 8.6Complaints and service recovery
  7. 8.7Retaining out-of-warranty vehicles
  8. 8.8Maintenance contracts and extended warranties
  9. 8.9Continuous measurement of the experience
  10. 8.10Practical: customer journey map for a workshop
  1. 9.1Remanufacturing and reuse of components
  2. 9.2Reverse logistics and core management
  3. 9.3Second life of batteries
  4. 9.4Recycling under the Batteries Regulation
  5. 9.5End-of-life Vehicles Directive
  6. 9.6Design for repair and disassembly
  7. 9.7Carbon footprint of aftersales
  8. 9.8Digital product passport
  9. 9.9Circular business models
  10. 9.10Case study: remanufacturing brake calipers
  1. 10.1Contracts and service levels
  2. 10.2Condition-based maintenance
  3. 10.3Reliability and RCM
  4. 10.4Availability and outcome-based contracts
  5. 10.5Field technicians and scheduling
  6. 10.6Augmented reality for remote assistance
  7. 10.7Installed base management
  8. 10.8Upgrades and retrofits
  9. 10.9Pricing of industrial services
  10. 10.10Workshop: availability contract for an equipment fleet
  1. 11.1Aftersales dashboards
  2. 11.2Service absorption and profitability
  3. 11.3Service revenue forecasting
  4. 11.4Customer lifetime value
  5. 11.5Artificial intelligence in diagnosis
  6. 11.6Dynamic service pricing
  7. 11.7Sizing the service network
  8. 11.8Strategic aftersales planning
  9. 11.9Data governance and privacy
  10. 11.10Lab: dashboard for a service network
  1. 12.1Selecting the aftersales business
  2. 12.2Market and customer analysis
  3. 12.3Diagnosis of processes and profitability
  4. 12.4Design of the proposed connected service
  5. 12.5Data and technology architecture
  6. 12.6Business and revenue model
  7. 12.7Rollout plan and risks
  8. 12.8Economic evaluation of the proposed service
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

A 100% online programme on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is SAP S/4HANA, Salesforce Service Cloud, ReliaSoft Weibull++, Python and AWS IoT FleetWise, in free, academic or evaluation versions. Exercises are based on real procedures: spare parts inventory optimisation, reliability analysis of field failures and the design of a subscription-based connected service. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 461/2010, UN Regulation No. 156, UN Regulation No. 155, Regulation (EU) 2018/858, Regulation (EU) 2023/2854 (Data Act), Directive 2000/53/EC, Regulation (EU) 2023/1542, Directive (EU) 2019/771.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 461/2010, UN Regulations No. 155 and No. 156, and the Data Act applied to real cases, not as a theoretical annex.
Industry software:SAP S/4HANA, Salesforce Service Cloud, ReliaSoft Weibull++, Python and AWS IoT FleetWise, in free, academic or evaluation versions.
Master's Thesis with defence:the design and business case of a connected aftersales service, from market analysis to rollout plan, 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.

Spare parts inventory
Optimise a multi-echelon spare parts inventory with intermittent demand forecasting.
Weibull field analysis
Analyse a recurring field failure with Weibull and define supplier cost recovery.
Predictive maintenance model
Build a predictive maintenance model from vehicle CAN data.
Subscription service launch
Design and price a subscription-based connected service using a service blueprint.
Master's Thesis
A connected aftersales service with its business model and rollout plan, defended before a panel.
Career opportunities

Where this takes you

Aftersales directorConnected services managerSpare parts plannerField quality engineerWorkshop network managerDigital services product owner
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer able to run 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 SAP S/4HANA, Salesforce Service Cloud, ReliaSoft Weibull++, Python and AWS IoT FleetWise, 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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