Course in Innovative Business Models in Insurtech
Online 300-hour course in innovative business models in insurtech. 6 modules covering Directive (EU) 2016/97 (insurance distribution, IDD), Law 7/2020 (digital transformation of the financial system, sandbox) and Strategyzer (Business Model Canvas). Assigned tutor and open enrolment.
Course in Innovative Business Models in Insurtech — studying from Malta
Insurance is one of Malta's established financial sectors, with a regulatory framework that has attracted captive insurers, reinsurers and specialist underwriters. This creates demand for professionals who can model risk, analyse claims data and support actuarial functions. Engineers with statistical skills are valued in pricing, reserving and risk management. Employers include licensed insurers, brokers, consultancies and the regulator itself, where quantitative and technical expertise is increasingly important.
Fees for Malta: €448 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Malta
Typical roles
Questions from Malta
Which professional bodies in Malta relate to insurance, risk and actuarial work, and does SEIUM's qualification fit?
SEIUM Institute's qualifications are private qualifications, not official Maltese state degrees, and they are not accredited by any national body. In Malta, insurance and financial services are supervised by the Malta Financial Services Authority, and professional actuarial qualifications are set by international bodies that Maltese firms commonly follow. Whether SEIUM's training is recognised is for employers or the relevant body to decide.
What roles in Malta might this training support in insurance or risk management?
Malta has a significant insurance, reinsurance and financial services sector, and firms there employ people in risk analysis, data and modelling roles. Whether a private engineering-focused qualification counts for a given role depends on the employer's requirements and the qualifications they already expect. Reviewing current job descriptions in Malta and asking employers directly will show how your training would be viewed.
How much time does this need each week, and what language level is required?
Master's programmes total 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, delivered fully online. Spread over the programme length, this suits people working full-time if they set a steady weekly schedule. Teaching is in English, so you should be comfortable reading and writing technical English. Fees can be paid in instalments, and employer sponsorship is possible.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse the dominant business models in digital insurance.
Design and validate an insurtech business model using agile methodologies.
Calculate insurance economics metrics such as acquisition cost, combined ratio and customer lifetime value.
Identify the regulatory and capital barriers to operating as an insurer or intermediary.
Structure alliances with insurers, reinsurers and distributors.
Evaluate financing alternatives and sustainable growth.
Present an insurtech business plan that can be defended before investors.
Who it's for
- Founder of an insurtech startup who wants to specialise in Innovative Business Models in Insurtech.
- Product manager for digital insurance who wants to specialise in Innovative Business Models in Insurtech.
- Innovation analyst at an insurer who wants to specialise in Innovative Business Models in Insurtech.
- Head of strategic alliances who wants to specialise in Innovative Business Models in Insurtech.
- Insurtech business model consultant who wants to specialise in Innovative Business Models in Insurtech.
- Venture capital analyst in insurtech who wants to specialise in Innovative Business Models in Insurtech.
- Engineering or science graduates looking to enter insurtech.
What you'll work with
- Directive (EU) 2016/97 (insurance distribution, IDD)
- Law 7/2020 (digital transformation of the financial system, sandbox)
- Directive 2009/138/EC (Solvency II)
- Royal Decree-Law 3/2020 (transposition of the IDD)
- Regulation (EU) 2022/2554 (DORA)
- Regulation (EU) 2016/679 (GDPR)
6 modules · 300 h
1.1Components of a business model1.2The traditional value chain and its margins1.3Where value is captured in the sector1.4Models: insurer, agent and technology provider1.5Embedded insurance and its economics1.6Subscription, usage-based and microinsurance1.7Underserved markets and the protection gap1.8Vocabulary and acronyms in the field1.9Myths about innovation in the sector1.10Exercise: breaking down an organisation's model
2.1Identifying the customer's real problem2.2Value proposition and its formulation2.3Segments and channels of reach2.4Revenue and cost structure2.5Critical assumptions and how to test them2.6Low-cost experiments2.7Minimum viable product and learning2.8Decision to persevere or pivot2.9Documenting learning2.10Practice: designing and validating a model
3.1Premium, claims and expenses3.2Combined ratio and technical profitability3.3Investment result and its role3.4Acquisition cost and its recovery3.5Retention and customer value over time3.6Capital requirements and solvency3.7The role of reinsurance in the model3.8Minimum scale for viability3.9Sensitivity to assumptions3.10Practice: economic model of a product
4.1Agreements with insurers and reinsurers4.2Distribution alliances and their economics4.3Authorisations required by model4.4Distribution and product regulation4.5Data protection and use of models4.6Real market entry barriers in the sector4.7Dependence on a partner and its mitigation4.8Ownership of the portfolio and the customer4.9Regulatory risk of the model4.10Practice: regulatory feasibility analysis
5.1Growth phases and their challenges5.2Financing and investor expectations5.3Metrics monitored by funders5.4The risk of growing with poor underwriting5.5Team and culture management5.6Internationalisation and adaptation5.7Exit or consolidation scenarios5.8Warning signs of an unsustainable model5.9Success and failure case studies5.10Practice: growth plan with milestones
6.1Choosing the problem and the segment6.2Full business model design6.3Critical assumptions and validation plan6.4Economic and capital model6.5Regulatory and alliance analysis6.6Growth plan and milestones6.7Risks and mitigation plan6.8Monitoring indicators6.9Project report6.10Project defence
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Strategyzer (Business Model Canvas), advanced Excel (financial models), Figma, Google Analytics, Notion, in free, academic or evaluation versions. Testing is studied through real procedures for validating hypotheses with customers, minimum viable product prototypes and unit economics financial models. Assessment is continuous per module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Analyse the dominant business models in digital insurance.
Design and validate an insurtech business model using agile methodologies.
Calculate insurance economics metrics such as acquisition cost, combined ratio and customer lifetime value.
Identify the regulatory and capital barriers to operating as an insurer or intermediary.
Structure alliances with insurers, reinsurers and distributors.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
You will work with Strategyzer (Business Model Canvas), advanced Excel (financial models), Figma, Google Analytics, Notion. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
SEIUM's own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher-level programme. Check the recognition policy when you enrol.
Related programmes
Fundamentals of Transport Reinsurance Course
Online 300-hour course in fundamentals of transport reinsurance. 6 modules covering Directive 2009/138/EC (Solvency II), Law 20/2015 (LOSSEAR) and advanced Excel. Assigned tutor and open enrolment.
Railway Insurance Expert Assessment Course
Online 300-hour course in railway insurance expert assessment. 6 modules covering COTIF 1999 (CIV and CIM Uniform Rules), Regulation (EU) 2021/782 (rail passengers' rights) and AutoCAD.…
Course in Retention Strategies in Reinsurance
Online 300-hour course in retention strategies in reinsurance. 6 modules covering Directive 2009/138/EC (Solvency II), Delegated Regulation (EU) 2015/35 (Solvency II implementation) and Igloo (WTW). Assigned…
More in Insurance, Risk & Actuarial Data
All Insurance, Risk & Actuarial Data programmes → · How to apply · Fees & financing · Scholarships