Course on investing in electromobility startups
About our
Course on Investing in Electromobility Startups
Explore the landscape of investing in startups focused on developing electromobility technologies. It covers topics such as business model analysis, market trends, emerging technologies (batteries, charging, electric vehicles), risk assessment, and investment strategies. It includes the study of success stories and the analysis of investment opportunities in this growing sector.
This course prepares participants to identify and evaluate startups in the electromobility sector, considering aspects such as technical feasibility, market potential, competition, and management team. It focuses on understanding funding sources, company valuation, and exit strategies, equipping participants with the necessary tools to make informed investment decisions.
Course on investing in electromobility startups
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
320 $
Competencies and results
What you will learn
1. Successful Investment Strategies in Electromobility Startups
- Identify and evaluate disruptive business models in the electromobility sector.
- Understand the startup funding landscape, including venture capital, angel investors, and crowdfunding.
- Analyze the valuation of electromobility startups, considering key metrics and financial projections.
- Develop investment strategies based on risk analysis, expected return, and time horizon.
- Evaluate the impact of technological, regulatory, and market trends on electromobility investments.
- Learn how to conduct due diligence on electromobility startups, including evaluating the technology, team, and intellectual property.
- Build and manage diversified investment portfolios in electromobility startups.
- Understand exit strategies and the investment lifecycle in electromobility startups.
- Analyze case studies of successful and failed investments in electromobility startups.
- Use tools and resources for monitoring and managing investments in electromobility startups.
1. In-depth Analysis of the Electromobility Startup Market for Strategic Investment
- Identify key trends and emerging opportunities in the global electromobility startup market.
- Evaluate the competitive landscape by analyzing the strengths, weaknesses, opportunities, and threats (SWOT) of leading electromobility startups.
- Understand innovative business models, including electric vehicles (EVs), charging infrastructure, energy storage, and shared mobility solutions.
- Analyze disruptive technologies, such as solid-state batteries, advanced propulsion systems, and energy management software.
- Evaluate the growth potential and scalability of startups, considering factors such as market size, technology adoption, and regulation.
- Conduct detailed financial analyses, including company valuation, return on investment (ROI), and risk analysis.
- Identify funding sources and investment strategies for electromobility startups.
- Develop a strategic framework for investment, including company selection, portfolio management, and successful exit strategies.
- Understand the legal and regulatory aspects that impact electromobility startups, including environmental regulations and government incentives.
- Analyze the social and environmental impact of electromobility and its influence on investment decisions.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Financial Modeling and Risk Assessment in Electromobility Startups
4. Financial Modeling and Risk Assessment in Electromobility Startups
Understand the financial landscape of electromobility startups: analysis of business models, revenue streams, and sector-specific cost structures.
Master financial modeling: building detailed financial projections (revenue, expenses, cash flow) using specialized tools and software.
Evaluate the economic viability of electromobility projects: scenario analysis, sensitivity analysis, and Monte Carlo simulation to identify opportunities and risks.
Identify and quantify the inherent risks of electromobility startups: technological, regulatory, market, financial, and operational.
Develop risk mitigation strategies: insurance, hedging, diversification, and contingency plans tailored to the sector.
Analyze the impact of government policies and tax incentives on the profitability of electromobility projects.
5. Analysis of the Value Chain and Business Models in Electromobility for Investment
5. **Value Chain and Business Model Analysis in Electromobility for Investment**
- Identify and evaluate the key components of the electromobility value chain: from raw material extraction to marketing and after-sales service.
- Analyze the different business models emerging in the electromobility sector, including subscription models, direct sales, and charging platforms.
- Understand market trends and competitive dynamics in the electromobility industry, including competitor analysis and market share assessment.
- Evaluate investment risks and opportunities in the electromobility sector, considering factors such as technology, regulation, and market demand.
- Apply financial and economic analysis tools to assess the viability of electromobility projects, including calculating return on investment (ROI) and sensitivity analysis.
- Analyze The impact of electromobility on existing infrastructure, including the electricity grid and charging systems.
Understand the role of government policies and incentives in the development of electromobility, including subsidies, regulations, and standards.
Evaluate the environmental and social impact of electromobility, including the reduction of greenhouse gas emissions and job creation.
Identify opportunities for innovation and technological development in the electromobility sector, including batteries, energy management systems, and autonomous vehicles.
Develop an investment strategy in electromobility, including asset selection, risk management, and portfolio diversification.
6. Business Model Design and Profitability Analysis in Electromobility Startups
- Understand the fundamentals of business models specific to electromobility startups, including value propositions, customer segments, and distribution channels.
- Evaluate the economic viability of electromobility projects, using profitability analysis tools such as return on investment (ROI), net present value (NPV), and internal rate of return (IRR).
- Identify and analyze the revenue streams and costs associated with electromobility startups, considering aspects such as charging infrastructure, vehicle maintenance, and energy storage.
- Develop strategies for obtaining financing, including identifying investors, creating robust business plans, and understanding investment models in the electromobility sector.
- Apply market analysis and customer segmentation methodologies to identify business opportunities and adapt models to specific market needs.
- Evaluate the impact of government regulations and policies on Incentives for the profitability of electromobility startups.
Use simulation and analysis tools to evaluate the performance of different business models and market scenarios.
Understand the importance of sustainability and corporate social responsibility in the electromobility sector and develop business models that incorporate these values.
Who this program is for:
Course on investing in electromobility startups
- Angel and venture capital investors interested in the electromobility and startup sector.
- Entrepreneurs and founders of startups in the field of electromobility, including electric vehicles, batteries, charging infrastructure, and software.
- Executives and managers of companies in the automotive, energy, and technology sectors looking to diversify or expand their businesses in electromobility.
- Professionals in finance, market analysis, consulting, and business development who wish to specialize in investments in electromobility startups.
- Individuals with experience in the startup world, with prior knowledge of finance, data analysis, and project evaluation.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Early Investment Strategies and Opportunity Evaluation
1.2 Identifying Key Trends in the Electromobility Market
1.3 Competitive Landscape Analysis and Strategic Positioning
1.4 Due Diligence in Electromobility Startups: Key Aspects
1.5 Investment Agreement Structure and Financial Terms
1.6 Developing a Solid Investment Thesis
1.7 Risk Management in Electromobility Investments
1.8 Evaluating Founding Teams and Governance
1.9 Exit Strategies and Maximizing Return on Investment
1.10 Case Studies: Successful Investments and Lessons Learned
2.2 Overview of the Electromobility Startup Market: Trends and Opportunities
2.2 Competitor Analysis and Strategic Positioning
2.3 Market Segmentation and Ideal Customer Profile
2.4 Case Studies: Examples of Successful Startups and Lessons Learned
2.5 Identifying Disruptive Business Models and Their Potential
2.6 Market Size Assessment and Growth Projections
2.7 Analysis of Barriers to Entry and Market Challenges
2.8 Key Success Factors for Electromobility Startups
2.9 Market Research and Data Analysis for Decision-Making
2.20 Market Penetration Strategies and Sustainable Growth
3.3 Introduction to Financial Projections in Electromobility
3.2 Market Analysis and Growth Trends
3.3 Design of Projection Models: Sales and Revenue Flow
3.4 Cost Projections: Operating and Capital Costs
3.5 Expense Estimation: Administration, Marketing, and R&D
3.6 Analysis of the Income Statement: Revenue, Costs, and Profits
3.7 Projected Balance Sheet: Assets, Liabilities, and Equity
3.8 Projected Cash Flow: Operations, Investments, and Financing
3.9 Key Financial Indicators: Profitability, Liquidity, and Solvency
3.30 Sensitivity Scenarios and Risk Analysis
4.4 Current Landscape of Investment in Electromobility
4.2 Types of Electric Vehicles and Their Markets
4.3 Key Factors for Investment Success
4.4 Investment Strategies: Venture Capital, Private Equity, etc.
4.5 Due Diligence for Electromobility Startups
4.6 Team and Technology Evaluation
4.7 Case Studies of Successful Investments
4.8 Common Mistakes and How to Avoid Them
4.9 Future Trends in Electromobility Investment
4.40 Building a Diversified Portfolio
2.4 Analysis of the Global Electromobility Market
2.2 Market Segmentation: Cars, Buses, etc.
2.3 Identifying Investment Opportunities
2.4 Competitive Analysis and Positioning
2.5 Assessing Barriers to Entry
2.6 Analyzing Technological and Regulatory Trends
2.7 Assessing Market Demand and Growth
2.8 Supply Chain Analysis
2.9 Impact of Charging Infrastructure
2.40 Assessing Market-Specific Risks and Opportunities
3.4 Principles of Financial Projection for Startups
3.2 Developing a Detailed Financial Plan
3.3 Revenue and Expense Projections
3.4 Break-Even Analysis
3.5 Cash Flow Projections
3.6 Valuing Electromobility Startups
3.7 Key Performance Indicators (KPIs)
3.8 Sensitivity Analysis and Scenarios
3.9 Debt and Financing Modeling
3.40 Practical Examples and Projection Tools
4.4 Creating Financial Models from Scratch
4.2 Incorporating Market and Competitive Data
4.3 Building Projected Financial Statements
4.4 Analysis of Key Financial Ratios
4.5 Assessment of Specific Financial Risks
4.6 Scenario Modeling and Sensitivity Analysis
4.7 Valuation Analysis and Company Valuation
4.8 Options and Contingency Modeling
4.9 Use of Modeling Software and Tools
4.40 Case Studies of Successful Financial Modeling
5.4 Electromobility Value Chain Analysis
5.2 Different Business Models in Electromobility
5.3 Competitive Analysis and Positioning
5.4 Vehicle Subscription and Sales Models
5.5 Electric Vehicle Charging Business Models
5.6 Battery and Storage Business Models
5.7 Profitability and Margin Analysis
5.8 Supply Chain and Logistics Analysis
5.9 Impact of Technology and Innovation
5.40 Assessment of Risks and Opportunities in the Value Chain
6.4 Design of Innovative Business Models
6.2 Development of the Business Model Canvas (BMC)
6.3 Value Proposition Analysis
6.4 Customer Segment Definition
6.5 Design of Revenue strategies
6.6 Cost structure and profitability analysis
6.7 Business model validation
6.8 Scalability planning
6.9 Case studies of successful business models
6.40 Tools for business model design
7.4 Identifying and assessing industry-specific risks
7.2 Technological risks and obsolescence
7.3 Regulatory and political risks
7.4 Market and competitive risks
7.5 Financial and funding risks
7.6 Supply chain risks
7.7 Risk management analysis
7.8 Risk mitigation strategies
7.9 Insurance and asset protection
7.40 Risk management case studies
8.4 Defining return on investment (ROI)
8.2 Strategies to maximize ROI
8.3 Capital structure optimization
8.4 Operational efficiency assessment
8.5 Customer profitability analysis
8.6 Exit and valuation strategies
8.7 Negotiation Investment agreements
8.8 Performance monitoring and control
8.9 Growth and scalability strategies
8.40 Case studies and best practices
5.5 Fundamentals of Investing in Electromobility Startups
5.5 Types of Investment and Financial Vehicles
5.3 Due Diligence for Electromobility Startups
5.4 Startup Selection: Key Criteria and Metrics
5.5 Analysis of Founding Teams and Management
5.6 Exit Strategies and Maximizing Returns
5.7 Negotiating Investment Agreements
5.8 Legal and Regulatory Framework in Electromobility
5.9 Case Studies of Successful Investments
5.50 Future Trends in Electromobility Investment
5.5 Overview of the Electromobility Market
5.5 Analysis of Market Trends and Their Impact on Investment
5.3 Market Segmentation: Vehicles, Infrastructure, Batteries, etc.
5.5 5.4 Competitive Analysis and Strategic Positioning
5.5 Key Success Factors in the Electromobility Market
5.6 Risk and Opportunity Assessment in the Market
5.7 Market Research and Data Analysis
5.8 The Role of Regulation and Government Policies
5.9 Demand Analysis and Growth Potential
5.50 Market Analysis Case Studies
3.5 Developing Detailed Financial Projections
3.5 Revenue and Expense Analysis in Startups
3.3 Cash Flow Projections and Financial Statements
3.4 Scenario Modeling and Sensitivity Analysis
3.5 Net Present Value and Internal Rate of Return Assessment
3.6 Sales Forecasting and Market Growth
3.7 Cost Structure and Profitability Analysis
3.8 Impact of Funding on Projections
3.9 Startup Valuation Techniques
3.50 Financial Projection Case Studies
4.5 Building Financial Models from Scratch
4.5 Incorporating Assumptions and Key Variables
4.3 Analysis of Sensitivity and Multiple Scenarios
4.4 Financial and Operational Risk Assessment
4.5 Capital Structure and Debt Modeling
4.6 Break-Even Point and Contribution Margin Analysis
4.7 Assessment of the Impact of Inflation and Exchange Rates
4.8 Investment and Divestment Scenario Modeling
4.9 Use of Financial Modeling Tools and Software
4.50 Financial Modeling Case Studies in Electromobility
5.5 Value Chain Analysis in Electromobility
5.5 Identification of Successful Business Models
5.3 Analysis of Key Business Model Components
5.4 Business Model Canvas Design
5.5 Differentiation and Market Positioning Strategies
5.6 Value Proposition and Customer Segment Assessment
5.7 Distribution and Communication Channel Analysis
5.8 Cost Structure and Revenue Streams Assessment
5.9 Business Model Case Studies in Electromobility
5.50 Adapting Business Models to Market Trends
6.5 Business Model Design Innovators
6.5 Profitability Analysis of Different Models
6.3 Strategies to Improve Profitability and Margin
6.4 Cost Structure Optimization
6.5 Revenue Stream Analysis and Pricing Strategies
6.6 Scalability Impact Assessment
6.7 Competitive Analysis and Differentiation
6.8 Value Proposition Design
6.9 Financial Planning and Profitability Projections
6.50 Case Studies of Profitable Business Design
7.5 Risk Identification and Assessment in Electromobility
7.5 Market, Technological, and Regulatory Risk Analysis
7.3 Risk Mitigation Strategies
7.4 Risk Impact Assessment on Investment
7.5 Opportunity Analysis in the Sector
7.6 Project Feasibility Assessment
7.7 The Role of Due Diligence in Risk Identification
7.8 Scenario Analysis and Contingency Plans
7.9 Risk and Opportunity Analysis Case Studies
7.50 The Importance of Risk Management
8.5 Strategies for Maximizing Return on Investment
8.5 Evaluating Different Exit Strategies
8.3 Optimizing Capital Structure
8.4 Efficient Working Capital Management
8.5 Analyzing Profitability and Cash Flow
8.6 Monitoring and Controlling Return on Investment
8.7 Negotiation and Renegotiation Strategies
8.8 The Role of Innovation and Differentiation
8.9 Return on Investment Optimization Case Studies
8.50 Adapting Strategies to Market Conditions
6.6 Business Model Design in Electromobility: Structure and Key Components
6.2 Profitability Analysis in Electromobility Startups: Metrics and KPIs
6.3 Revenue Models in Electromobility: Diversification and Sustainability
6.4 Cost Structure and Optimization in Electromobility Startups
6.5 Customer Lifetime Value (CLV) Assessment and Retention Strategies
6.6 Competitive Analysis and Market Positioning
6.7 Scalability and Sustainable Growth in Electromobility Business Models
6.8 Pricing Strategies and Perceived Value in Electromobility
6.9 Adaptation and Flexibility of Business Models: Pivoting and Adapting to the Market
6.60 Case Study: Profitability Analysis and Successful Business Models
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
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F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).