CourseElectromobility, Batteries & Hydrogen Applications open

Course on electromobility market trends

Online course of 300 hours in electric mobility market trends. 6 modules covering the global electric vehicle market, policy and regulation, technology and costs, new business models and foresight analysis, with an assigned technical tutor.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Analyse the evolution of the global electric vehicle market using reliable data.

02

Interpret the effect of regulation and public policy on the market.

03

Relate technological and cost developments to adoption.

04

Identify new business models in electric mobility.

05

Build foresight scenarios with diffusion models.

06

Communicate trends and recommendations to senior management.

07

Produce a complete market analysis on electric mobility.

Profile

Who it's for

  • Automotive market analysts moving into electric mobility trends.
  • Mobility strategy consultants.
  • Product planning managers at vehicle manufacturers.
  • Competitive intelligence analysts.
  • Public mobility policy officers.
  • Mobility investment analysts.
  • Engineering or science graduates looking to join vehicle manufacturers.
Standards & tools

What you'll work with

  • Regulation (EU) 2019/631 (CO2 emission standards for cars and vans)
  • Regulation (EU) 2023/851 (strengthened CO2 standards towards 2035)
  • Regulation (EU) 2023/1804 (alternative fuels infrastructure, AFIR)
  • Regulation (EU) 2023/1542 (batteries and waste batteries)
  • Law 7/2021 (Spanish law on climate change and energy transition)
  • Royal Decree 266/2021 (MOVES III programme)
  • Regulation (EU) 2024/1257 (Euro 7)
  • IEA Global EV Data Explorer
  • Tableau
  • Microsoft Power BI
  • Python with pandas
  • EV Volumes
Syllabus

6 modules

  1. 1.1BEV and PHEV sales by region
  2. 1.2Dynamics in China, Europe and the United States
  3. 1.3Market shares by segment
  4. 1.4Traditional manufacturers versus new entrants
  5. 1.5Electric commercial and heavy-duty vehicles
  6. 1.6Electric two-wheelers in Asia
  7. 1.7Price parity with combustion vehicles
  8. 1.8The used electric vehicle market
  9. 1.9Market data sources and their reliability
  10. 1.10Workshop: sales analysis with the Global EV Data Explorer
  1. 2.1EU fleet CO2 standards
  2. 2.2End of sales of combustion-engine cars in 2035
  3. 2.3The Inflation Reduction Act and US policy
  4. 2.4China's new energy vehicle policy
  5. 2.5European tariffs on Chinese electric vehicles
  6. 2.6Purchase incentive programmes
  7. 2.7Taxation and urban road charging
  8. 2.8The Batteries Regulation and carbon footprint
  9. 2.9Charging deployment targets
  10. 2.10Case study: the effect of EU tariffs
  1. 3.1Evolution of the battery price per kWh
  2. 3.2The resurgence of LFP chemistry
  3. 3.3Sodium-ion and solid-state batteries
  4. 3.4800 V architectures and ultra-fast charging
  5. 3.5Software and services as a source of value
  6. 3.6Autonomous driving and electrification
  7. 3.7Gigafactories in Europe
  8. 3.8Supply of lithium, nickel and cobalt
  9. 3.9Learning curves and cost forecasts
  10. 3.10Practical exercise: battery cost learning curve
  1. 4.1Direct sales and the agency model
  2. 4.2Subscription and flexible leasing
  3. 4.3Connected services and data monetisation
  4. 4.4Battery as a service
  5. 4.5The charging business: CPOs and eMSPs
  6. 4.6V2G and flexibility markets
  7. 4.7Second life and recycling of batteries
  8. 4.8Electrification of corporate fleets
  9. 4.9Brand ecosystems and customer loyalty
  10. 4.10Case study: NIO's business model
  1. 5.1Demand forecasting methods
  2. 5.2Adoption curves and the Bass model
  3. 5.3Penetration scenarios for 2035 and 2050
  4. 5.4Impact on employment and the supplier industry
  5. 5.5Geopolitical risks and raw materials
  6. 5.6PESTEL analysis of the sector
  7. 5.7Market monitoring indicators
  8. 5.8Communicating trends to senior management
  9. 5.9Benchmarking of manufacturers' strategies
  10. 5.10Workshop: adoption scenarios with the Bass model
  1. 6.1Market or segment to be studied
  2. 6.2Data collection and cleansing
  3. 6.3Quantitative trend analysis
  4. 6.4Competitor map for the segment
  5. 6.5Ten-year evolution scenarios
  6. 6.6Strategic recommendations for the client
  7. 6.7Risks and uncertainties in the forecast
  8. 6.8Executive summary for senior management
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM Institute 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 you can combine it with full-time work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is IEA Global EV Data Explorer, Tableau, Microsoft Power BI, Python with pandas and EV Volumes, in free, academic or evaluation versions. Exercises are based on real procedures: building electric vehicle adoption scenarios in Spain, competitive analysis of manufacturers in the European market and assessing the impact of a regulatory measure.

Assessment is continuous, module by module, plus the final project.

Standards covered: Regulation (EU) 2019/631; Regulation (EU) 2023/851; Regulation (EU) 2023/1804; Regulation (EU) 2023/1542; Law 7/2021; Royal Decree 266/2021; Regulation (EU) 2024/1257.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2019/631, Regulation (EU) 2023/851 and Regulation (EU) 2023/1804 (AFIR) applied to real cases, not as a theoretical annex.
Industry software:IEA Global EV Data Explorer, Tableau, Microsoft Power BI, Python with pandas and EV Volumes, in free, academic or evaluation versions.
Final project:an electric vehicle market analysis of a chosen market or segment, with ten-year scenarios and strategic recommendations, reviewed by your tutor.
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.

Global sales analysis
Analyse BEV and PHEV sales by region with the Global EV Data Explorer.
Regulatory impact assessment
Assess the effect of EU tariffs on Chinese electric vehicles.
Battery cost learning curve
Build a learning curve for battery costs and derive cost forecasts.
Bass adoption scenarios
Model electric vehicle adoption scenarios with the Bass model.
Final project
Deliver a complete market analysis of an electric vehicle segment with ten-year scenarios and strategic recommendations, reviewed by your tutor.
Career opportunities

Where this takes you

Automotive market analystMobility strategy consultantProduct planning managerCompetitive intelligence analystPublic mobility policy officerMobility investment analyst
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • An internet connection and a computer able to run the programme's 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.

FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with IEA Global EV Data Explorer, Tableau, Microsoft Power BI, Python with pandas and EV Volumes, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required: you only need an internet connection, a computer able to run the programme's 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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