Postgraduate DiplomaInsurance, Risk & Actuarial Data Applications open

Postgraduate Diploma in Telematics Platform Architecture for Insurance

Online Postgraduate Diploma of 800 h in Telematics Platform Architecture for Insurance. 8 modules covering ISO 15638 (telematics for commercial vehicles), ISO/IEC 20922 (MQTT) and Apache Kafka. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Describe the insurance telematics ecosystem.

02

Select devices and connectivity technologies.

03

Design data ingestion and streaming processing.

04

Define storage and analytics for driving data.

05

Build services and applications for policyholders and insurers.

06

Apply security and privacy requirements by design.

07

Plan the operation and scaling of the platform.

Profile

Who it's for

  • Telematics platform architect who wants to specialise in Telematics Platform Architecture for Insurance.
  • Streaming data engineer who wants to specialise in Telematics Platform Architecture for Insurance.
  • Cloud engineer who wants to specialise in Telematics Platform Architecture for Insurance.
  • Telematics product manager who wants to specialise in Telematics Platform Architecture for Insurance.
  • Platform security specialist who wants to specialise in Telematics Platform Architecture for Insurance.
  • Site Reliability Engineer (SRE) who wants to specialise in Telematics Platform Architecture for Insurance.
  • Graduates in engineering or science looking to enter insurance companies.
Standards & tools

What you'll work with

  • ISO 15638 (telematics for commercial vehicles)
  • ISO/IEC 20922 (MQTT)
  • Regulation (EU) 2015/758 (eCall)
  • Regulation (EU) 2023/2854 (Data Act)
  • ISO/IEC 27001 (information security)
  • ISO/IEC 27701 (privacy information management)
  • EDPB Guidelines 01/2020 on connected vehicles
Syllabus

8 modules · 800 h

  1. 1.1Usage-based insurance programmes
  2. 1.2OBD devices, black boxes and apps
  3. 1.3Connected vehicle data from manufacturers
  4. 1.4Telematics service providers
  5. 1.5Functional requirements of the insurer
  6. 1.6Data volumes and speeds
  7. 1.7Costs per device and per user
  8. 1.8European market cases
  9. 1.9Non-functional requirements of the platform
  10. 1.10Case study: requirements analysis of a UBI platform
  1. 2.1Telematics device firmware
  2. 2.2Mobile SDK and battery management
  3. 2.3MQTT, CoAP and HTTPS protocols
  4. 2.4Cellular connectivity and roaming
  5. 2.5Secure device provisioning
  6. 2.6Remote management and updates
  7. 2.7Buffering and forwarding without coverage
  8. 2.8Message normalisation
  9. 2.9Manufacturer APIs and the ExVe standard
  10. 2.10Laboratory: device simulator with MQTT
  1. 3.1Managed IoT gateways
  2. 3.2Queues and brokers with Apache Kafka
  3. 3.3Message schemas with Avro
  4. 3.4Processing with Apache Flink
  5. 3.5Real-time event detection
  6. 3.6Enrichment with maps and weather
  7. 3.7Handling late and duplicate data
  8. 3.8Horizontal scaling of processing
  9. 3.9Pipeline monitoring
  10. 3.10Practical: ingestion pipeline with Kafka and Flink
  1. 4.1Time-series databases
  2. 4.2Lakehouse architecture with Delta Lake
  3. 4.3Partitioning by date and vehicle
  4. 4.4Geospatial data with PostGIS
  5. 4.5Batch calculation of scores
  6. 4.6Feature store for risk models
  7. 4.7Storage costs and retention
  8. 4.8Analytical queries at scale
  9. 4.9Data catalogue and governance
  10. 4.10Practical: lakehouse model of trips
  1. 5.1Scoring APIs for pricing
  2. 5.2Integration with core policy systems
  3. 5.3Policyholder mobile app
  4. 5.4Fleet management portal
  5. 5.5Automatic accident notification
  6. 5.6Connected roadside assistance
  7. 5.7Gamification and rewards
  8. 5.8Microservices and containers
  9. 5.9Customer identity management
  10. 5.10Workshop: platform API design
  1. 6.1Platform threat model
  2. 6.2End-to-end encryption
  3. 6.3Consent management
  4. 6.4Pseudonymisation of identifiers
  5. 6.5Minimisation and retention of trajectories
  6. 6.6Data protection impact assessment
  7. 6.7EU Data Act
  8. 6.8Cybersecurity under DORA
  9. 6.9Audits of telematics providers
  10. 6.10Case study: DPIA of the telematics platform
  1. 7.1Cloud deployment with Kubernetes
  2. 7.2Infrastructure as code
  3. 7.3Observability and distributed tracing
  4. 7.4Service level agreements
  5. 7.5Disaster recovery
  6. 7.6Cloud cost optimisation
  7. 7.7Load testing
  8. 7.8Model version management
  9. 7.9Operations with external providers
  10. 7.10Workshop: capacity plan for one million vehicles
  1. 8.1Requirements and use cases
  2. 8.2Reference architecture
  3. 8.3Device layer design
  4. 8.4Ingestion and streaming design
  5. 8.5Storage design
  6. 8.6Services and API design
  7. 8.7Security and privacy
  8. 8.8Cost estimation
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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 enrolment period, which makes it possible to combine the programme with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Apache Kafka, Apache Spark, Apache Flink, AWS IoT Core, PostgreSQL with TimescaleDB, in free, academic or evaluation versions. Tests are studied using real procedures for designing a streaming ingestion architecture, load testing with trip data, and security and privacy assessment of the platform. Assessment is continuous across each module, plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with a track record in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with ciber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Requirements and use cases

Describe the insurance telematics ecosystem.

Reference architecture

Select devices and connectivity technologies.

Device layer design

Design data ingestion and streaming processing.

Ingestion and streaming design

Define storage and analytics for driving data.

Storage design

Build services and applications for policyholders and insurers.

Career opportunities

Where this takes you

Telematics platform architectStreaming data engineerCloud engineerTelematics product managerPlatform security specialistSite Reliability Engineer (SRE)
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory reading.

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 consists of 800 hours in total, spread over 6 to 8 months. That is an average of between 10 and 15 hours per week, compatible with a full-time job.

You will work with Apache Kafka, Apache Spark, Apache Flink, AWS IoT Core, PostgreSQL with TimescaleDB. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM diploma upon passing the continuous assessment and the 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 credited towards the higher programme. Check the credit transfer policy when you enrol.

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