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Master'sDesign, HMI & Product Applications open

Master’s in UX for the EV Ecosystem

Online master's programme of 1,900 hours in UX for the EV ecosystem — app, vehicle and charger, routes, payments and range anxiety. 12 modules covering the EV ecosystem, user research, range and energy UX, route and charging planning, public and home charging, connected apps, in-vehicle interfaces, fleets, experience evaluation and regulation, with an assigned technical tutor.

Duration12–14 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand the electric vehicle ecosystem and its stakeholders.

02

Research the needs and barriers of EV users.

03

Design how range and energy are communicated.

04

Improve the planning and charging experience.

05

Design coherent connected apps and services.

06

Evaluate the experience with qualitative and quantitative methods.

07

Apply European charging regulation to experience design.

Profile

Who it's for

  • UX designers in electric mobility.
  • Product designers for charging services.
  • UX researchers.
  • Product managers for connected EVs.
  • EV HMI designers.
  • Customer experience consultants.
  • Engineering or science graduates looking to move into electric automotive.
Standards & tools

What you'll work with

  • Regulation (EU) 2023/1804 (AFIR — alternative fuels infrastructure)
  • ISO 15118-20 (vehicle-to-grid communication and Plug and Charge)
  • ISO 9241-210 (human-centred design)
  • WCAG 2.2 (web content accessibility)
  • OCPI 2.2.1 (Open Charge Point Interface)
  • Regulation (EU) 2016/679 (GDPR — data protection)
  • Directive (EU) 2019/882 (European Accessibility Act)
  • Figma
  • ProtoPie
  • Maze
  • Mixpanel
  • Miro
Syllabus

12 modules

  1. 1.1Stakeholders: manufacturer, CPO, eMSP and utility
  2. 1.2Vehicle, charger, app and grid
  3. 1.3Charging types and power levels
  4. 1.4The EV ownership experience
  5. 1.5Barriers to adoption
  6. 1.6Range anxiety
  7. 1.7Home and public charging
  8. 1.8Electric fleets
  9. 1.9Market and trends
  10. 1.10Case study: ecosystem map of an EV user
  1. 2.1Electric driver profiles
  2. 2.2Longitudinal ownership studies
  3. 2.3Interviews at charging points
  4. 2.4Analysis of reviews and forums
  5. 2.5Telematics usage data
  6. 2.6Personas and scenarios
  7. 2.7Users without a garage
  8. 2.8Fleets and professional drivers
  9. 2.9Synthesis of findings
  10. 2.10Practical: research at a charging station
  1. 3.1Range visualisation
  2. 3.2Consumption estimation
  3. 3.3Effect of temperature and climate control
  4. 3.4Driving modes
  5. 3.5Regeneration and one-pedal driving
  6. 3.6Battery status indicators
  7. 3.7Communicating uncertainty
  8. 3.8Gamification of efficiency
  9. 3.9Comprehension testing
  10. 3.10Lab: energy screen prototype
  1. 4.1Route planners with stops
  2. 4.2Battery preconditioning
  3. 4.3Charger availability
  4. 4.4Real-time OCPI data
  5. 4.5Occupancy prediction
  6. 4.6Personalised recommendations
  7. 4.7Integration with navigation
  8. 4.8The long-distance travel experience
  9. 4.9Handling the unexpected
  10. 4.10Practical: long-trip planning flow
  1. 5.1Locating and accessing the charger
  2. 5.2Authentication and payment
  3. 5.3Plug and Charge ISO 15118
  4. 5.4AFIR ad hoc payment
  5. 5.5Price information
  6. 5.6Charger screens
  7. 5.7Charging failures and recovery
  8. 5.8Charger accessibility
  9. 5.9Station safety and comfort
  10. 5.10Workshop: redesign of a charger interface
  1. 6.1Charging point installation
  2. 6.2Wallbox apps
  3. 6.3Scheduled charging and tariffs
  4. 6.4Integration with solar PV
  5. 6.5Dynamic power management
  6. 6.6Vehicle-to-home
  7. 6.7The connected home
  8. 6.8Residential communities
  9. 6.9Billing and consumption
  10. 6.10Practical: smart home charging app
  1. 7.1Manufacturer apps
  2. 7.2Remote vehicle control
  3. 7.3Remote climate control
  4. 7.4Useful notifications
  5. 7.5OTA updates
  6. 7.6Subscriptions and features on demand
  7. 7.7Integration with voice assistants
  8. 7.8Data privacy
  9. 7.9Connected services architecture
  10. 7.10Lab: EV app prototype in Figma
  1. 8.1Cluster and centre display for EVs
  2. 8.2Charging sounds and alerts
  3. 8.3Charge port and light indicators
  4. 8.4Interaction during charging
  5. 8.5Entertainment while charging
  6. 8.6Design for safe driving
  7. 8.7Accessibility
  8. 8.8Design guidelines
  9. 8.9App–vehicle consistency
  10. 8.10Case study: charging states in the HMI
  1. 9.1Electric fleet management
  2. 9.2Shift and charging planning
  3. 9.3Charging depots
  4. 9.4Delivery drivers
  5. 9.5Electric taxis and ride-hailing vehicles
  6. 9.6Fleet management tools
  7. 9.7Cost and emissions reporting
  8. 9.8Driver training
  9. 9.9Experience indicators
  10. 9.10Practical: fleet control dashboard
  1. 10.1Usability testing
  2. 10.2Field testing
  3. 10.3SUS and NPS metrics
  4. 10.4Product analytics
  5. 10.5A/B experiments in apps
  6. 10.6Charging satisfaction
  7. 10.7User diaries
  8. 10.8Accessibility and WCAG
  9. 10.9Communicating results
  10. 10.10Workshop: evaluation plan for a charging service
  1. 11.1The AFIR Regulation
  2. 11.2Renewable Energy Directive and charging
  3. 11.3Price transparency
  4. 11.4Payment interoperability
  5. 11.5Data protection
  6. 11.6Legal accessibility requirements
  7. 11.7Digital product strategy
  8. 11.8Charging business models
  9. 11.9Ecosystem trends
  10. 11.10Case study: experience strategy for a charging operator
  1. 12.1Experience challenge
  2. 12.2User research
  3. 12.3EV user journey
  4. 12.4Solution concept
  5. 12.5High-fidelity prototype
  6. 12.6User evaluation
  7. 12.7Metrics and improvement plan
  8. 12.8Technical and business feasibility
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online learning 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 the intake, so you can combine it with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Figma, ProtoPie, Maze, Mixpanel and Miro, in free, academic or evaluation versions. Testing is studied through real procedures: usability tests at charging stations, longitudinal studies with drivers and A/B experiments in apps. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 2023/1804 (AFIR), ISO 15118-20, ISO 9241-210, WCAG 2.2, Open Charge Point Interface (OCPI) 2.2.1, Regulation (EU) 2016/679 (GDPR), Directive (EU) 2019/882 (accessibility).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of AFIR, ISO 15118-20 and ISO 9241-210 applied to real cases, not as a theoretical annex.
Industry software:Figma, ProtoPie, Maze, Mixpanel and Miro, in free, academic or evaluation versions.
Master's Thesis with defence:an end-to-end EV experience project, from user research to a high-fidelity prototype evaluated with users, 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.

Experience challenge and research
Define an EV experience challenge and research it with real drivers at charging points.
EV user journey
Map the end-to-end journey across app, vehicle and charger.
Solution concept
Design a concept covering range, route planning, charging and payment.
Prototype and evaluation
Build a high-fidelity prototype in Figma or ProtoPie and test it with users.
Master's Thesis
Metrics, improvement plan and technical and business feasibility, defended before a panel.
Career opportunities

Where this takes you

Electric mobility UX designerCharging services product designerUX researcherConnected EV product managerEV HMI designerCustomer experience consultant
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.

Apply now Scholarships
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 Figma, ProtoPie, Maze, Mixpanel and Miro, 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 degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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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