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AF-032

Mastering Financial Modeling and Analysis for the Energy Industry

Intensive 5-day course · English, Arabic & European languages

Finance professionals and project engineers working in the energy sector will learn to build and analyse financial models on this five-day course. Delegates cover forecasting techniques, risk assessment and project evaluation tailored to utilities, renewables and oil and gas. The programme addresses advanced Excel functions, sensitivity analysis and communicating financial insights to stakeholders.

Classroom

Public courses in our cities

  • 26–30 Oct 2026Manama£3,080 + VAT
  • 9–13 Nov 2026Barcelona£3,080 + VAT
  • 23–27 Nov 2026Dubai£4,200 + VAT
  • 14–18 Dec 2026London£3,360 + VAT
  • 28 Dec – 1 Jan 2026Riyadh£4,200 + VAT
  • 4–8 Jan 2027Frankfurt£2,600 + VAT
Show 23 more dates
  • 18–22 Jan 2027Riyadh£4,200 + VAT
  • 1–5 Feb 2027Rome£3,400 + VAT
  • 15–19 Feb 2027Doha£4,200 + VAT
  • 8–12 Mar 2027Kuala Lumpur£1,800 + VAT
  • 22–26 Mar 2027Geneva£4,200 + VAT
  • 12–16 Apr 2027Barcelona£3,080 + VAT
  • 26–30 Apr 2027Abu Dhabi£4,200 + VAT
  • 10–14 May 2027London£3,360 + VAT
  • 24–28 May 2027Cairo£2,280 + VAT
  • 7–11 Jun 2027Frankfurt£2,600 + VAT
  • 21–25 Jun 2027Jeddah£4,200 + VAT
  • 5–9 Jul 2027Rome£3,400 + VAT
  • 19–23 Jul 2027Singapore£4,200 + VAT
  • 9–13 Aug 2027Kuala Lumpur£1,800 + VAT
  • 23–27 Aug 2027Muscat£3,080 + VAT
  • 13–17 Sep 2027Barcelona£3,080 + VAT
  • 27 Sep – 1 Oct 2027Casablanca£2,280 + VAT
  • 11–15 Oct 2027London£3,360 + VAT
  • 25–29 Oct 2027Manama£3,080 + VAT
  • 1–5 Nov 2027Frankfurt£2,600 + VAT
  • 15–19 Nov 2027Amman£3,400 + VAT
  • 6–10 Dec 2027Rome£3,400 + VAT
  • 20–24 Dec 2027Madrid£3,400 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Special requests

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Mastering Financial Modeling and Analysis for the Energy Industry

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Course overview

Energy project forecasts depend on their assumptions. This five-day programme examines how commodity prices, regulatory conditions and technological developments affect models of revenue, expenditure and cash flow, with applications in oil and gas, renewables and utilities. Delegates build financial models and interpret results for decisions about projects and investments.

Modelling work uses advanced Excel formulas and functions. Delegates forecast income and expenses before applying discounted cash flow (DCF) analysis, net present value (NPV) and internal rate of return (IRR) calculations to project evaluation. Case studies include an initial energy project model, a renewable energy model, oil and gas exploration sensitivity analysis and a utility-scale solar project.

Day one introduces the oil and gas, renewable energy and utility segments. Day two moves into structured modelling techniques, incorporating assumptions for commodity prices, production volumes and costs. Day three is devoted to forecasting and sensitivity analysis. The final two days address project evaluation and financial performance. Day four examines market, regulatory and operational risks alongside NPV and IRR calculations. Day five covers financial ratio analysis, including liquidity, solvency, efficiency and profitability metrics, and how to present those findings clearly to non-financial stakeholders.

Course objectives

By the end of the course, delegates will be able to:

  1. Build dynamic financial models for oil and gas, renewable energy and utility projects
  2. Forecast revenue, expenses, cash flows and project returns while considering commodity prices, regulation and technological change
  3. Perform sensitivity analysis and scenario planning to test project resilience
  4. Calculate net present value (NPV), internal rate of return (IRR) and payback periods
  5. Analyse financial statements and communicate project insights to stakeholders

Who should attend

This course suits:

  • Finance managers and analysts in energy companies
  • Project managers and engineers involved in energy project development
  • Investment analysts and bankers specialising in the energy sector
  • Financial advisors, consultants and auditors serving energy clients
  • Students and academics pursuing careers in energy finance

Training methodology

  • Interactive presentations use slides and video to introduce financial modelling topics.
  • Delegates discuss the content in groups.
  • Practical exercises support the application and retention of modelling techniques.

Daily agenda

  1. Day 1

    Financial modelling in the energy sector

    • The principles and applications of financial modelling
    • Introducing the oil and gas, renewable energy and utility segments
    • Key financial metrics and concepts for energy projects
    • Case study: Building a basic energy project model
  2. Day 2

    Advanced modelling techniques

    • Building dynamic and structured financial models for energy projects
    • Incorporating assumptions for costs, production volumes and commodity prices
    • Advanced Excel formulas and functions for financial modelling
    • Case study: Developing a detailed model for a renewable energy project
  3. Day 3

    Forecasting and sensitivity analysis

    • Revenue forecasting: price forecasting and demand analysis
    • Forecasting capital expenditures, financing costs and operating expenses
    • Sensitivity analysis and scenario planning
    • Case study: Running a sensitivity analysis on an oil and gas exploration project
  4. Day 4

    Risk management and project evaluation

    • Risk assessment: market, regulatory and operational risks
    • Discounted cash flow (DCF) analysis and net present value (NPV) calculation
    • Evaluating returns using internal rate of return (IRR), payback period and profitability index
    • Case study: Evaluating the financial viability of a utility-scale solar project
  5. Day 5

    Financial performance analysis and communication

    • Reading financial statements and performance metrics in the energy industry
    • Analysing liquidity, solvency, efficiency and profitability ratios
    • Presenting financial insights effectively to stakeholders
    • Using financial modelling and analysis to guide strategic decision-making

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

Register

Mastering Financial Modeling and Analysis for the Energy Industry

Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

booking terms and conditions

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Mastering Financial Modeling and Analysis for the Energy Industry