Postgraduate DiplomaInsurance, Risk & Actuarial Data Applications open

Postgraduate Diploma in Integrating Insurance Products into MaaS Platforms

Online 800 h postgraduate diploma in integrating Insurance Products into MaaS Platforms. 8 modules covering Delegated Regulation (EU) 2017/1926 (multimodal travel information services), Directive 2010/40/EU (intelligent transport systems) and Postman (APIs). Assigned tutor and open enrolment.

Duration800 h
ModeOnline
AwardSEIUM Institute diploma

Postgraduate Diploma in Integrating Insurance Products into MaaS Platforms — studying from Singapore

Singapore is a major insurance and reinsurance hub in Asia, regulated by the Monetary Authority of Singapore. Engineering skills support risk modelling, catastrophe analysis, data analytics and actuarial work for insurers and reinsurers. The sector draws on data science and quantitative methods, with demand from insurers, brokers and risk consultancies. The city's financial ecosystem makes it a common base for global risk and actuarial teams.

Fees for Singapore: S$1,280 (Singapore dollar), with instalments and employer sponsorship available.

Relevant bodies in Singapore

  • Monetary Authority of Singapore (MAS)
  • Life Insurance Association Singapore
  • General Insurance Association of Singapore
  • Society of Actuaries in Singapore

Typical roles

  • Actuarial Analyst
  • Risk Data Scientist
  • Catastrophe Modelling Analyst
  • Insurance Analytics Consultant

Questions from Singapore

Will this qualification be recognised by professional bodies in Singapore?

SEIUM's qualifications are private, not official state degrees, and are not accredited by any national body. In Singapore, actuarial work is linked to the Singapore Actuarial Society, and insurance is regulated by the Monetary Authority of Singapore. Recognition of a private qualification is decided by employers or the relevant body, so confirm with them directly before you enrol.

How might this training be used by employers in Singapore?

Singapore's insurance, banking and risk functions employ people with analytical and data skills. An engineering-based risk and data programme may complement such roles, but it does not guarantee a position or a specific career outcome. Employers usually weigh professional exams, experience and demonstrated analytical ability, so your final project and work history will matter as much as the qualification title.

Can I study this alongside a full-time job, and can my employer help fund it?

Because the course is fully online and taught in English, you can study from Singapore without travelling, and no student visa is needed for online study. The workload is substantial, so plan carefully around your job. Fees can be paid in instalments, and employer sponsorship is possible; many Singapore companies support job-relevant study, so discuss it with your manager.

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Learning outcomes

What you will be able to do

01

Explain the mobility-as-a-service model and its actors.

02

Identify the risks associated with each transport mode on the platform.

03

Design insurance products integrated into the journey.

04

Specify the technical integration via APIs.

05

Price per-use cover using mobility data.

06

Analyse the regulation governing distribution, payments and data.

07

Design business models and partnerships with mobility operators.

Profile

Who it's for

  • Embedded insurance manager who wants to specialise in integrating insurance products into MaaS platforms.
  • Mobility partnerships manager who wants to specialise in integrating insurance products into MaaS platforms.
  • API integration architect who wants to specialise in integrating insurance products into MaaS platforms.
  • Insurance product designer who wants to specialise in integrating insurance products into MaaS platforms.
  • Mobility data analyst who wants to specialise in integrating insurance products into MaaS platforms.
  • Urban mobility consultant who wants to specialise in integrating insurance products into MaaS platforms.
  • Engineering or science graduates looking to enter mobility-as-a-service platforms.
Standards & tools

What you'll work with

  • Delegated Regulation (EU) 2017/1926 (multimodal travel information services)
  • Directive 2010/40/EU (intelligent transport systems)
  • Directive (EU) 2016/97 (IDD, ancillary insurance intermediaries)
  • Directive (EU) 2015/2366 (payment services, PSD2)
  • CEN/TS 16614 (NeTEx, transport data exchange)
  • Regulation (EU) 2016/679 (GDPR)
  • Royal Legislative Decree 8/2004 (LRCSCVM)
Syllabus

8 modules · 800 h

  1. 1.1Concept and levels of MaaS integration
  2. 1.2Actors: operators, integrators and authorities
  3. 1.3Subscription and pay-per-use models
  4. 1.4Public, shared and on-demand transport
  5. 1.5MaaS experiences in European cities
  6. 1.6Sustainable Mobility Law in Spain
  7. 1.7Open transport data and GTFS
  8. 1.8Challenges of intermodality
  9. 1.9Risks in multimodal journeys
  10. 1.10Case study: stakeholder map of a MaaS platform
  1. 2.1Liability of operators and the platform
  2. 2.2User risks in each mode
  3. 2.3Service disruptions and delays
  4. 2.4Liability in shared vehicles
  5. 2.5Vehicle damage and excesses
  6. 2.6Cyber risk of the platform
  7. 2.7Personal data risk
  8. 2.8Autonomous vehicle risks in fleets
  9. 2.9Multimodal risk matrix
  10. 2.10Workshop: risk matrix for an intermodal journey
  1. 3.1Embedded insurance in mobility subscriptions
  2. 3.2Door-to-door travel cover
  3. 3.3Delay and missed connection insurance
  4. 3.4Personal accident cover for users
  5. 3.5Third-party liability for shared vehicle users
  6. 3.6Baggage and personal item protection
  7. 3.7Parametric punctuality insurance
  8. 3.8Cover for fleet operators
  9. 3.9Modular packages by profile
  10. 3.10Practice: designing an intermodal travel cover
  1. 4.1Insurance APIs on mobility platforms
  2. 4.2TOMP-API and GBFS data standards
  3. 4.3User identity and onboarding
  4. 4.4Automatic issuance linked to the ticket
  5. 4.5Journey data for pricing
  6. 4.6Policy lifecycle management
  7. 4.7Payments and settlement between parties
  8. 4.8API security and compliance
  9. 4.9Integration testing
  10. 4.10Laboratory: integrating an insurance API into a MaaS app
  1. 5.1Exposure per journey and transport mode
  2. 5.2Aggregated mobility data
  3. 5.3Multimodal claims estimation
  4. 5.4Pricing based on subscription
  5. 5.5Risk of new products without history
  6. 5.6Price sensitivity analysis
  7. 5.7Cost-sharing models between operators
  8. 5.8Profitability indicators
  9. 5.9Privacy and data minimisation
  10. 5.10Practice: per-trip premium model for a multimodal journey
  1. 6.1Insurance distribution through platforms
  2. 6.2Liability of the transport authority
  3. 6.3Passenger rights in the EU
  4. 6.4GDPR and mobility data
  5. 6.5Public procurement and concessions
  6. 6.6EU AI Regulation in mobility services
  7. 6.7Accessibility and vulnerable users
  8. 6.8Governance of shared data
  9. 6.9Multi-party complaint resolution
  10. 6.10Case study: governance agreement between operator and insurer
  1. 7.1Value sharing across the ecosystem
  2. 7.2Commissions and revenue models
  3. 7.3Partnerships with insurers and MGAs
  4. 7.4Seamless customer experience
  5. 7.5Insurance adoption metrics
  6. 7.6Integrated claims and service
  7. 7.7Scalability to new cities
  8. 7.8Sustainability and emissions reduction
  9. 7.9Assessment of successful and unsuccessful cases
  10. 7.10Practice: business case for a regional platform
  1. 8.1Selection of platform and city
  2. 8.2Multimodal risk analysis
  3. 8.3Design of integrated products
  4. 8.4Integration architecture
  5. 8.5Pricing model
  6. 8.6Regulatory analysis
  7. 8.7Business model
  8. 8.8Pilot plan
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 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 with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Postman (APIs), OpenAPI/Swagger, Python (FastAPI), Power BI, GTFS (transport data tools), in free, academic or evaluation versions. Exercises are based on real API integration procedures for a per-trip insurance product in a mobility app, risk analysis of shared e-scooters and bicycles, and design of a distribution agreement with a MaaS operator. Assessment is continuous across modules, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven final project:safety case, test plan, compliance dossier and operating limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Selection of platform and city

Explain the mobility-as-a-service model and its actors.

Multimodal risk analysis

Identify the risks associated with each transport mode on the platform.

Integrated product design

Design insurance products integrated into the journey.

Integration architecture

Specify the technical integration via APIs.

Pricing model

Price per-use cover using mobility data.

Career opportunities

Where this takes you

Embedded insurance managerMobility partnerships managerAPI integration architectInsurance product designerMobility data analystUrban mobility consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to read technical regulations.

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 comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

You will work with Postman (APIs), OpenAPI/Swagger, Python (FastAPI), Power BI, GTFS (transport data tools). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An in-house SEIUM diploma upon passing the continuous assessment and the final integrating 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 enrolling.

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