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Postgraduate DiplomaInsurance, Risk & Actuarial Data Applications open

Diploma in Corporate Safe Driving Programmes

Online postgraduate diploma of 800 hours in corporate safe driving programmes. 8 modules covering fundamentals, the regulatory framework (Solvency II, IFRS 17, Delegated Regulation (EU) 2015/35), analysis methods, design, systems integration, reliability and risk, and validation, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor

Diploma in Corporate Safe Driving Programmes — studying from India

India's insurance market is expanding, with life and general insurers, reinsurers and technology providers based in Mumbai, Delhi NCR, Chennai and Hyderabad. The Insurance Regulatory and Development Authority of India regulates the sector, and the Life Insurance Corporation of India and General Insurance Corporation of India are prominent public players. Insurers increasingly use data analytics, telematics and risk modelling, creating demand for actuarial and data professionals. Engineers and analysts in this area build pricing models, underwriting tools and risk assessment platforms for motor, property and health insurance.

Fees for India: ₹137,000 (Indian Rupee), with instalments and employer sponsorship available.

Relevant bodies in India

  • Insurance Regulatory and Development Authority of India (IRDAI)
  • Institute of Actuaries of India (IAI)
  • Life Insurance Corporation of India (LIC)
  • General Insurance Council

Typical roles

  • Actuarial Analyst
  • Risk Data Analyst
  • Underwriting Analyst
  • Insurance Pricing Analyst

Questions from India

Is there a recognised actuarial or risk professional body in India for this area?

The main professional body for actuaries in India is the Institute of Actuaries of India (IAI), and insurers are regulated by IRDAI. SEIUM's qualifications are private and not accredited by any national body, so they do not give you IAI membership or any official status. Check the IAI's own exam and membership requirements before deciding.

Which employers in India hire for insurance, risk and actuarial data roles?

Life and general insurers, reinsurers, banks, consultancies and risk analytics teams hire for data and risk roles. Employers set their own hiring standards and decide how much weight to give a private qualification. Practical experience with data and modelling usually matters a great deal, so the course is best viewed as one part of your profile.

How is the programme delivered and how is it paid for in India?

The programme is delivered entirely online in English, so you can study from home with no student visa needed. Each student has an assigned technical tutor and completes a final project. Fees are payable in instalments, and employer sponsorship is possible, which many working professionals use to manage cost alongside their job.

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Learning outcomes

What you will be able to do

01

Master the technical fundamentals of corporate safe driving programmes and its regulatory vocabulary.

02

Apply Solvency II (Directive 2009/138/EC), IFRS 17 and Delegated Regulation (EU) 2015/35 to real design and validation decisions.

03

Build and correlate calculation models with R and Python (pandas, scikit-learn).

04

Plan and run test campaigns in an actuarial modelling environment and a claims data platform.

05

Analyse operating data and turn it into engineering decisions.

06

Prepare the technical and compliance dossier required by the client or the regulator.

07

Lead a corporate safe driving programmes project from start to finish.

Profile

Who it's for

  • Non-life actuaries looking to specialise in corporate safe driving programmes.
  • Risk analysts.
  • Technical underwriters.
  • Claims adjusters.
  • Pricing managers.
  • Technical reserves managers.
  • Engineering or science graduates seeking to enter motor insurance.
Standards & tools

What you'll work with

  • Solvency II (Directive 2009/138/EC) (EU prudential regime for insurers)
  • IFRS 17 (international accounting standard for insurance contracts)
  • Delegated Regulation (EU) 2015/35 (Solvency II implementing rules)
  • EIOPA Guidelines (European supervisory guidance for insurance)
  • ISO 31000 (risk management guidelines)
  • Law 20/2015 (LOSSEAR) (Spanish law on the supervision of insurers)
  • Regulation (EU) 2016/679 (GDPR) (personal data protection)
  • DORA (Regulation (EU) 2022/2554) (digital operational resilience)
  • AI Act (Regulation (EU) 2024/1689) (EU rules on artificial intelligence)
  • R
  • Python (pandas, scikit-learn)
  • SAS
  • Prophet
  • ResQ
Syllabus

8 modules

  1. 1.1Fundamental concepts and quantities of Corporate Safe Driving Programmes
  2. 1.2Technology landscape and state of the art
  3. 1.3Technical terminology and reference documentation
  4. 1.4Physical and engineering principles applied to the case
  5. 1.5Functional architecture: from requirements to components
  6. 1.6Interfaces and dependencies with adjacent systems
  7. 1.7Typical use cases in the sector
  8. 1.8Common errors and how to detect them early
  9. 1.9Data sources and quality criteria
  10. 1.10Guided exercise: initial diagnosis
  1. 2.1Applicable regulatory framework: overview
  2. 2.2Regulatory hierarchy and conflicts between standards
  3. 2.3Mandatory requirements versus good practice
  4. 2.4Acceptance criteria and required evidence
  5. 2.5Technical documentation and traceability
  6. 2.6Change management and configuration control
  7. 2.7Audits, inspections and non-conformities
  8. 2.8Responsibilities and division of scope
  9. 2.9Interpretation of critical clauses
  10. 2.10Exercise: regulatory checklist
  1. 3.1Model set-up: assumptions and simplifications
  2. 3.2Selection of tools and working environment
  3. 3.3Preparation of input data
  4. 3.4Workflow and good modelling practice
  5. 3.5Discretisation and case preparation
  6. 3.6Boundary conditions and load cases
  7. 3.7Convergence control and numerical verification
  8. 3.8Sensitivity analysis and parametric study
  9. 3.9Automation and reuse of models
  10. 3.10Exercise: building a baseline model
  1. 4.1Design requirements and starting criteria
  2. 4.2Solution alternatives and comparative analysis
  3. 4.3Sizing and safety margins
  4. 4.4Selection of materials, equipment or components
  5. 4.5Integration with the rest of the system
  6. 4.6Cost, schedule and manufacturing constraints
  7. 4.7Reliability, maintainability and service life
  8. 4.8Sustainability and efficiency in design
  9. 4.9Design review and risk management
  10. 4.10Exercise: documented design proposal
  1. 5.1System architecture and functional breakdown
  2. 5.2Interface definition and control
  3. 5.3Protocols and data exchange
  4. 5.4Progressive integration and interface testing
  5. 5.5Electromagnetic and environmental compatibility
  6. 5.6Configuration management of the whole system
  7. 5.7Resolving conflicts between subsystems
  8. 5.8Commissioning of the integrated system
  9. 5.9Traceability from requirements to verification
  10. 5.10Exercise: interface matrix
  1. 6.1Hazard identification and preliminary analysis
  2. 6.2Failure modes and effects analysis
  3. 6.3Fault trees and quantitative analysis
  4. 6.4Allocation of reliability targets
  5. 6.5Barriers, redundancy and fault tolerance
  6. 6.6Human factors and operating errors
  7. 6.7Safety evidence and argumentation
  8. 6.8Risk management throughout the life cycle
  9. 6.9Indicators and monitoring in operation
  10. 6.10Exercise: risk analysis of a case
  1. 7.1Verification and validation strategy
  2. 7.2Test plan: scope and coverage
  3. 7.3Instrumentation and data acquisition
  4. 7.4Laboratory testing versus field testing
  5. 7.5Correlation between model and measurement
  6. 7.6Handling uncertainty and tolerances
  7. 7.7Failure analysis and corrective actions
  8. 7.8Commissioning and acceptance criteria
  9. 7.9Documenting the validation file
  10. 7.10Exercise: validation report
  1. 8.1Case definition and success criteria
  2. 8.2Gathering input data and requirements
  3. 8.3Work planning and deliverables
  4. 8.4Technical development guided by the tutor
  5. 8.5Applying the regulatory framework to the case
  6. 8.6Verification of results and critical analysis
  7. 8.7Documenting the deliverable
  8. 8.8Technical defence and peer review
  9. 8.9Lessons learned and continuous improvement
  10. 8.10Final project: final assessment and programme close-out
Methodology, software & labs

How you'll learn

A 100% online programme on the SEIUM 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 it can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is R, Python (pandas, scikit-learn), SAS, Prophet and ResQ, in free, academic or evaluation versions. Testing is studied on real procedures from an actuarial modelling environment, a claims data platform and a catastrophe scenario simulator. Assessment is continuous by module, plus the final integrated project.

Standards covered: Solvency II (Directive 2009/138/EC), IFRS 17, Delegated Regulation (EU) 2015/35, EIOPA Guidelines, ISO 31000, Law 20/2015 (LOSSEAR), Regulation (EU) 2016/679 (GDPR), DORA (Regulation (EU) 2022/2554), AI Act (Regulation (EU) 2024/1689).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Solvency II, IFRS 17 and Delegated Regulation (EU) 2015/35 applied to real cases, not as a theoretical annex.
Industry software:R, Python (pandas, scikit-learn), SAS, Prophet and ResQ, in free, academic or evaluation versions.
Final project:An integrated case study in corporate safe driving programmes, 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.

Case definition
Define the case, its success criteria and the input data and requirements.
Analysis model
Build and verify a baseline model, with sensitivity analysis and a parametric study.
Documented design proposal
Develop a documented design proposal with sizing, safety margins and an interface matrix.
Risk analysis and validation
Carry out the risk analysis of the case and prepare the validation report.
Final project
Integrate the full case under the regulatory framework, document it and defend it technically.
Career opportunities

Where this takes you

Non-life actuaryRisk analystTechnical underwriterClaims adjusterPricing managerTechnical reserves manager
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An internet connection and a computer capable of running the programme 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.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with R, Python (pandas, scikit-learn), SAS, Prophet and ResQ, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, 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.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the 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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