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Master’s in Leasing, Asset Finance and Residual Value Management Engineering

Online master's programme of 1,900 hours in leasing, asset finance and residual value management engineering: 12 modules covering lease accounting and tax, deal structuring and pricing, lessee credit risk, residual value forecasting, portfolio management, remarketing, transport, energy and industrial assets, and regulation, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Distinguish between the forms of leasing, renting and asset finance.

02

Apply IFRS 16 and the tax rules for finance leases.

03

Structure and price transactions that include a residual value.

04

Assess the credit risk of the lessee.

05

Forecast residual values with statistical and machine-learning models.

06

Manage residual value exposure and asset remarketing.

07

Analyse the financing of aircraft, rolling stock and energy assets.

Profile

Who it's for

  • Residual value analysts.
  • Leasing risk managers.
  • Asset finance structurers.
  • Remarketing managers.
  • Credit analysts in leasing and renting companies.
  • Fleet managers in vehicle renting.
  • Engineering or science graduates aiming to move into financial institutions.
Standards & tools

What you'll work with

  • IFRS 16 (leases)
  • IFRS 9 (financial instruments)
  • Spanish Act 27/2014 (Corporate Income Tax Act)
  • Cape Town Convention 2001 (international interests in mobile equipment)
  • Regulation (EU) 575/2013 (CRR) (prudential requirements for credit institutions)
  • Directive (EU) 2023/2225 (consumer credit agreements)
  • Regulation (EU) 2020/852 (EU Taxonomy)
  • Spanish General Accounting Plan (Royal Decree 1514/2007) (national accounting framework)
  • Microsoft Excel
  • Python
  • SAS
  • Alfa Systems
Syllabus

12 modules · 1900 h

  1. 1.1Finance leases and operating leases
  2. 1.2Renting and long-term hire
  3. 1.3Sale and leaseback transactions
  4. 1.4Lessor, lessee and asset supplier
  5. 1.5The leasing market in Europe and Spain
  6. 1.6Vehicles, machinery, aircraft and rolling stock
  7. 1.7Financial advantages for the lessee
  8. 1.8Banks and captive finance companies
  9. 1.9Industry associations and market statistics
  10. 1.10Case study: buying, leasing or renting a fleet
  1. 2.1IFRS 16 for the lessee
  2. 2.2Right-of-use asset and lease liability
  3. 2.3Lease classification by the lessor
  4. 2.4Leases under the Spanish General Accounting Plan
  5. 2.5Tax regime for finance leases
  6. 2.6VAT in leasing transactions
  7. 2.7Contract modifications and reassessment
  8. 2.8Effects on ratios and covenants
  9. 2.9Leases in the public sector
  10. 2.10Exercise: IFRS 16 accounting entries for a contract
  1. 3.1Calculating instalments and the implicit rate
  2. 3.2Cost of funds and margin
  3. 3.3Guaranteed and unguaranteed residual value
  4. 3.4Purchase option and balloon payment
  5. 3.5Risk-adjusted pricing
  6. 3.6Economic capital and RAROC
  7. 3.7Leveraged and syndicated leasing
  8. 3.8Cross-border leasing transactions
  9. 3.9Contractual documentation for leasing
  10. 3.10Lab: instalment calculator with residual value
  1. 4.1Creditworthiness of SMEs and large companies
  2. 4.2Application scoring models
  3. 4.3Personal and collateral guarantees
  4. 4.4Probability of default by segment
  5. 4.5Loss severity and asset recovery
  6. 4.6Monitoring and early warning signals
  7. 4.7Collections and management of defaults
  8. 4.8IFRS 9 provisions in leasing portfolios
  9. 4.9Concentration by sector and customer
  10. 4.10Case study: credit decision on a machinery transaction
  1. 5.1Residual value versus market value
  2. 5.2Residual value risk versus credit risk
  3. 5.3Asset depreciation factors
  4. 5.4Technical and technological obsolescence
  5. 5.5Condition and mileage
  6. 5.6Used-asset market cycles
  7. 5.7Residual values of electric vehicles
  8. 5.8Impact of low-emission zones
  9. 5.9Risk sharing between manufacturer and lessor
  10. 5.10Workshop: residual value factors for a truck
  1. 6.1Depreciation curves by asset type
  2. 6.2Hedonic pricing models
  3. 6.3Regression and machine learning
  4. 6.4Used-asset transaction databases
  5. 6.5Used-asset price indices
  6. 6.6Forecasting by macroeconomic scenario
  7. 6.7Validation and backtesting of forecasts
  8. 6.8Setting residual values in quotations
  9. 6.9Governance of residual value models
  10. 6.10Lab: used-vehicle pricing model in Python
  1. 7.1Aggregate exposure to residual value risk
  2. 7.2Residual value stress testing
  3. 7.3Residual value insurance
  4. 7.4Buy-back agreements with manufacturers
  5. 7.5Reserves and impairment
  6. 7.6Portfolio diversification
  7. 7.7Reporting to senior management
  8. 7.8Portfolio performance indicators
  9. 7.9Securitisation of leasing portfolios
  10. 7.10Exercise: stress test of a renting portfolio
  1. 8.1Customer options at maturity
  2. 8.2Asset inspection and return
  3. 8.3Refurbishment and repair
  4. 8.4Auctions and retail sale of used assets
  5. 8.5Export of used assets
  6. 8.6Extensions and secondary leases
  7. 8.7Damage, wear and tear, and penalties
  8. 8.8Asset recovery on default
  9. 8.9Turnaround times and costs
  10. 8.10Case study: end-of-contract vehicle remarketing
  1. 9.1Aircraft leasing and operating lessors
  2. 9.2Cape Town Convention
  3. 9.3Rolling stock leasing
  4. 9.4Ship finance
  5. 9.5Marine container leasing
  6. 9.6Commercial vehicles and buses
  7. 9.7Aircraft appraisals and valuations
  8. 9.8Maintenance reserves in aircraft leasing
  9. 9.9Technology transition risk
  10. 9.10Exercise: operating lease of an aircraft
  1. 10.1Industrial machinery leasing
  2. 10.2Medical and technology equipment
  3. 10.3Battery as a service
  4. 10.4Renewable and storage assets
  5. 10.5Energy service contracts
  6. 10.6Construction machinery
  7. 10.7Pay-per-use with IoT sensors
  8. 10.8Residual values of technology equipment
  9. 10.9Refurbishment and the circular economy
  10. 10.10Case study: battery leasing for electric buses
  1. 11.1Supervision of leasing companies
  2. 11.2Prudential treatment of leasing under the CRR
  3. 11.3Consumer Credit Directive
  4. 11.4Telematics data and data protection
  5. 11.5Taxonomy and green asset finance
  6. 11.6ESG reporting for portfolios
  7. 11.7Anti-money laundering
  8. 11.8Electronic contracting and digital signatures
  9. 11.9Fintech in asset finance
  10. 11.10Workshop: taxonomy classification of a renting portfolio
  1. 12.1Selection of the portfolio or asset class
  2. 12.2Used-asset market analysis
  3. 12.3Residual value forecasting model
  4. 12.4Deal structure and pricing
  5. 12.5Lessee credit risk
  6. 12.6Stress tests and scenarios
  7. 12.7Remarketing strategy
  8. 12.8Accounting and tax impact
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training 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 the intake, so the programme is compatible with work.

Each module combines theory, guided reading of the original regulations and standards, and applied exercises. The working software is Microsoft Excel, Python, SAS and Alfa Systems, in free, academic or evaluation versions. Exercises are built on real procedures: forecasting vehicle residual values, structuring a leasing transaction and stress testing a renting portfolio. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: IFRS 16, IFRS 9, Spanish Act 27/2014, Cape Town Convention 2001, Regulation (EU) 575/2013 (CRR), Directive (EU) 2023/2225, Regulation (EU) 2020/852, Spanish General Accounting Plan (Royal Decree 1514/2007).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IFRS 16, IFRS 9 and the Cape Town Convention applied to real cases, not as a theoretical annex.
Industry software:Microsoft Excel, Python, SAS and Alfa Systems, in free, academic or evaluation versions.
Master's Thesis with defence:A complete residual value, pricing and risk study for a real leasing portfolio or asset class, defended before a panel.
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.

Used-asset market analysis
Select the portfolio or asset class and analyse its used-asset market.
Residual value model
Build a residual value forecasting model for the chosen assets.
Deal structure and credit risk
Structure and price the transaction and assess the lessee's credit risk.
Stress tests and remarketing
Run stress tests and scenarios and define the remarketing strategy, with its accounting and tax impact.
Master's Thesis
Present the complete asset finance study, defended before a panel.
Career opportunities

Where this takes you

Residual value analystLeasing risk managerAsset finance structurerRemarketing managerCredit analystRenting fleet manager
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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.

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with Microsoft Excel, Python, SAS and Alfa Systems, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a suitable computer 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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