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Fuel Pricing Methodologies Course

By: TSI Limited

Rwanda

16 - 20 Nov, 2026  5 days

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Delivery Mode: Physical

  

USD 3,000

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Venue: Kigali

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The Fuel Pricing Methodologies course provides professionals with a structured understanding of how fuel prices are determined, the factors influencing them, and the strategies used to analyze and manage pricing risks.

Learning Objectives

At the end of this training session, participants will be able to

  • Explain the fundamentals of fuel pricing and its global/local drivers.
  • Differentiate between cost-based and market-based pricing methodologies.
  • Analyze the impact of taxes, subsidies, and government policies on fuel prices.
  • Compare international fuel pricing practices and evaluate exchange rate effects.
  • Apply forecasting techniques and data analytics to predict fuel price movements.
  • Develop a simple fuel pricing model using real-world datasets.
  • Present policy recommendations and pricing strategies based on case studies.

Course Contents

Day 1 – Fundamentals of Fuel Pricing

  • Morning (9:00–12:00)
    • Introduction to fuel markets and pricing concepts
    • Types of fuels: petroleum products, natural gas, biofuels, electricity for transport
    • Key drivers of fuel prices: supply, demand, geopolitics, taxation
  • Afternoon (1:30–4:30)
    • Global vs local fuel pricing structures
    • Case study: historical oil price shocks and their impact on fuel pricing

Day 2 – Cost-Based Pricing Approaches

  • Morning
    • Cost-plus pricing methodology
    • Refining, distribution, and retail cost components
  • Afternoon
    • Margin setting for wholesalers and retailers
    • Case study: regulated vs deregulated markets

Day 3 – Market-Based Pricing Approaches

  • Morning
    • Import parity pricing (IPP) and export parity pricing (EPP)
    • Benchmark crude prices (Brent, WTI, Dubai)
  • Afternoon
    • Spot market vs futures market influence on fuel prices
    • Case study: fuel pricing in liberalized economies

Day 4 – Taxes, Subsidies & Policy Impacts

  • Morning
    • Role of excise taxes, VAT, and environmental levies
    • Subsidy mechanisms and their economic implications
  • Afternoon
    • Policy-driven fuel pricing models (regulated caps, subsidies, floating pricing)
    • Case study: subsidy reforms in developing economies

Day 5 – International Fuel Pricing Practices

  • Morning
    • Comparative analysis of fuel pricing in OECD vs non-OECD countries
    • Exchange rate impacts on fuel prices
  • Afternoon
    • Regional fuel pricing examples (Africa, Asia, Europe, North America)
    • Case study: cross-border fuel price disparities

Day 6 – Data Analytics & Forecasting in Fuel Pricing

  • Morning
    • Fuel price modeling techniques (regression, econometric models)
    • Use of AI/ML in fuel price forecasting
  • Afternoon
    • Data visualization and scenario analysis
    • Case study: forecasting fuel price volatility

Day 7 – Practical Workshop & Wrap-Up

  • Morning
    • Hands-on exercise: build a simple fuel pricing model using real-world data
    • Group activity: simulate pricing under different policy scenarios
  • Afternoon
    • Group presentations of pricing models and recommendations
    • Wrap-up: future trends in fuel pricing (energy transition, carbon pricing, renewables integration)

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.

Kigali Nov 16 - 20 Nov, 2026
USD 3,000.00
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Prof. Richard Mayungbe +2348033467639

Prof. Richard

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