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Postgraduate Diploma in Market Indices and Classic Trends

Online 800-hour Postgraduate Diploma in Market Indices and Classic Trends. 8 modules covering International Valuation Standards (IVS, IVSC), RICS Valuation – Global Standards (Red Book) and Python (pandas). 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 structure and actors of the classic vehicle market.

02

Build price indices from transaction data.

03

Apply valuation methods to vehicles across different segments.

04

Analyse market data using statistical tools.

05

Identify generational trends in demand.

06

Assess liquidity, authenticity and regulatory risks.

07

Communicate results in clear and rigorous market reports.

Profile

Who it's for

  • Classic vehicle market analyst who wants to specialise in Market Indices and Classic Trends.
  • Collectibles investment advisor who wants to specialise in Market Indices and Classic Trends.
  • Auction house specialist who wants to specialise in Market Indices and Classic Trends.
  • Market data analyst who wants to specialise in Market Indices and Classic Trends.
  • Journalist specialised in classic motoring who wants to specialise in Market Indices and Classic Trends.
  • Collection manager who wants to specialise in Market Indices and Classic Trends.
  • Engineering or science graduates looking to enter auction houses.
Standards & tools

What you'll work with

  • International Valuation Standards (IVS, IVSC)
  • RICS Valuation – Global Standards (Red Book)
  • Law 10/2010 (prevention of money laundering)
  • Regulation (EU) 2016/679 (GDPR)
  • Directive 2005/29/EC (unfair commercial practices)
Syllabus

8 modules · 800 h

  1. 1.1Structure of the classic market
  2. 1.2Auctions, dealers and private sales
  3. 1.3Leading auction houses
  4. 1.4Segments: pre-war, post-war, youngtimers
  5. 1.5Collectors and investors
  6. 1.6Historical market cycles
  7. 1.7Macroeconomic factors
  8. 1.8European and American market
  9. 1.9Sources of transaction data
  10. 1.10Case study: analysis of an auction season
  1. 2.1HAGI index and its methodology
  2. 2.2Hagerty Market Index
  3. 2.3K500 and other indices
  4. 2.4Building a price index
  5. 2.5Hedonic pricing
  6. 2.6Repeat sales and biases
  7. 2.7Liquidity and transaction volume
  8. 2.8Limitations of indices
  9. 2.9Comparison with other assets
  10. 2.10Practice: building a simple index
  1. 3.1Value factors: rarity, history and condition
  2. 3.2Condition scales 1 to 4
  3. 3.3Matching numbers and originality
  4. 3.4Provenance and celebrated owners
  5. 3.5Competition record
  6. 3.6Restoration and its effect on value
  7. 3.7Price guides
  8. 3.8Comparison methods
  9. 3.9Valuation reports
  10. 3.10Workshop: valuing a vehicle using comparables
  1. 4.1Data sources and ethical web scraping
  2. 4.2Cleaning auction data
  3. 4.3Descriptive statistics of prices
  4. 4.4Regression and explanatory variables
  5. 4.5Time series and trends
  6. 4.6Data visualisation
  7. 4.7Python and pandas for analysis
  8. 4.8Anomaly and outlier detection
  9. 4.9Interpreting results
  10. 4.10Laboratory: regression of a model's prices
  1. 5.1Generational handover of collectors
  2. 5.2Youngtimers and 1980s and 1990s vehicles
  3. 5.3Restomods and their value
  4. 5.4Impact of electrification
  5. 5.5Low-emission zone legislation
  6. 5.6Film cars and pop culture
  7. 5.7Japanese vehicles and JDM
  8. 5.8Emerging markets
  9. 5.9Concours d'Elegance trends
  10. 5.10Case study: the youngtimer trend
  1. 6.1Volatility and market risk
  2. 6.2Ownership and maintenance costs
  3. 6.3Insurance and storage
  4. 6.4Taxation of transfers
  5. 6.5Forgery risk
  6. 6.6Liquidity and time to sell
  7. 6.7Funds and fractional ownership
  8. 6.8Diversification in collecting
  9. 6.9Ethics of advice
  10. 6.10Practice: total cost of ownership of a classic
  1. 7.1Structure of a market report
  2. 7.2Technical and accessible language
  3. 7.3Charts and visualisation
  4. 7.4Sources and transparency
  5. 7.5Forecasts and their limits
  6. 7.6Reports for insurers
  7. 7.7Reports for private clients
  8. 7.8Reports for the media
  9. 7.9Periodic updating
  10. 7.10Workshop: quarterly report on a segment
  1. 8.1Selecting the segment
  2. 8.2Data collection
  3. 8.3Cleaning and refinement
  4. 8.4Building the index
  5. 8.5Trend analysis
  6. 8.6Valuation of cases
  7. 8.7Conclusions and forecasts
  8. 8.8Final report
  9. 8.9Dissertation 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 timetables: 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 Python (pandas), R, Power BI, advanced Excel, Tableau, in free, academic or evaluation versions. Assignments are based on real index-building procedures using auction results, price time-series analysis and preparation of market reports. Assessment is continuous by module plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven final project:safety case, test plan, compliance dossier and operational 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.

Segment selection

Describe the structure and actors of the classic vehicle market.

Data collection

Build price indices from transaction data.

Cleaning and refinement

Apply valuation methods to vehicles across different segments.

Building the index

Analyse market data using statistical tools.

Trend analysis

Identify generational trends in demand.

Career opportunities

Where this takes you

Classic vehicle market analystCollectibles investment advisorAuction house specialistMarket data analystJournalist specialised in classic motoringCollection manager
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 command of 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.

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FAQ

Frequently asked questions

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

Work is carried out with Python (pandas), R, Power BI, advanced Excel and Tableau. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the integrating project. This 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 advanced programme. Check the recognition policy when you enrol.

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