INTRODUCTION TO THE COURSE

Major capital-intensive projects across industries require significant financial investment, disciplined analysis, and effective management of uncertainty and risk. However, many large-scale projects fail to achieve their intended financial, operational, or strategic targets — not due to limited resources, but because appropriate decision-making methodologies are not applied effectively throughout the project lifecycle. From early-stage investment evaluation and business case preparation to cash flow forecasting, probabilistic risk modelling, and return-on-investment assessment, the quality of analytical methods used at the beginning of a project directly influences long-term project success.

This 10-day Advanced Project Economics & Risk Management Training Course provides participants with a comprehensive and practical understanding of project economics, financial evaluation techniques, and advanced risk analysis methodologies. Beginning with the foundations of decision analysis, cash flow evaluation, and the time value of money, the training course progresses into capital cost estimation, qualitative and quantitative risk analysis, Monte Carlo simulation, decision tree techniques, and Excel-based probabilistic forecasting.

Participants will gain an integrated and practical toolkit that can be immediately applied to evaluate, manage, and optimise the financial performance of complex capital investments across a wide range of industries and project environments.

This training course will highlight:

  • The complete decision-making process for capital investment projects, including business case preparation, option analysis, profitability evaluation, and stakeholder communication
  • Financial analysis techniques such as NPV, IRR, BCR, and discounted cash flow modelling applied to operational and capital expenditure scenarios
  • Qualitative and quantitative risk assessment methods including Bow-Tie analysis, Monte Carlo simulation, tornado diagrams, and Expected Monetary Value for advanced project risk analysis
  • Principles of development economics, uncertainty management, inflation-adjusted cash flows, and probability-based forecasting within capital project environments
  • Advanced Excel modelling capabilities using the @Risk add-on for sensitivity analysis, scenario modelling, and probabilistic profitability forecasting
  • Decision tree evaluation, ROI assessment, and structured risk response methodologies for optimising and justifying investment decisions

This training course is split into two modules:

Each module is structured and can be taken as a stand-alone training course; however, delegates will maximise their benefits by taking Modules I, and II back-to-back as a 2-week training course.

COURSE DETAILS

Objectives Icon

Objectives

By the end of this 10-Day Advanced Project Economics & Risk Management Training Course, participants will be able to:

  • Apply essential engineering economics techniques including NPV, IRR, time value of money, and cash flow analysis to evaluate and compare investment alternatives across varying project timelines
  • Develop realistic and structured cash flow forecasts that incorporate both capital and operational expenditure under uncertain conditions
  • Identify, evaluate, and prioritise project risks using qualitative and quantitative methodologies including probability-impact analysis, Monte Carlo simulation, and decision tree techniques
  • Build and interpret Excel-based financial models incorporating sensitivity analysis, tornado diagrams, and probabilistic profitability measures using the @Risk simulation tool
  • Create and assess risk response strategies designed to maximise investment return while reducing exposure to financial loss and strategic risk
  • Communicate financial evaluations, investment appraisals, and risk analysis outcomes effectively to stakeholders, sponsors, and senior management
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Training Methodology

This training course is delivered using a structured, competency-focused learning approach that progressively develops participants’ financial analysis and risk management expertise over ten days. Formal instruction is combined with practical exercises, collaborative project work, Excel modelling workshops, industry case studies, and interactive group discussions.
Concepts and analytical methods are introduced progressively, moving from fundamental principles to advanced applications. This approach ensures that participants with limited prior experience in financial engineering or quantitative risk analysis can fully engage and build confidence throughout the learning process.
All training materials and activities are designed for direct workplace application. Participants will work with realistic datasets, simulation tools, and practical project scenarios to reinforce learning and strengthen practical capability.

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Organisational Impact

Organisations that invest in this training course will benefit from:

  • More effective capital investment decision-making supported by robust financial analysis, risk evaluation, and evidence-based project appraisal methods
  • Enhanced capability to forecast, monitor, and manage future uncertainties that may impact project budgets, schedules, or strategic objectives
  • Reduced exposure to cost escalation, schedule overruns, and investment losses through the consistent use of modern project economics and risk management practices
  • Teams capable of developing, analysing, and stress-testing probabilistic cash flow models and sensitivity analyses for complex capital projects
  • Improved alignment between project financial strategies, organisational risk tolerance, and long-term investment objectives
  • Greater organisational capability to contribute effectively to multidisciplinary investment review teams and enterprise-level governance processes
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Personal Impact

Upon completing this 10-Day Advanced Project Economics & Risk Management Training Course, participants will have developed:

  • Practical capability in applying financial engineering methods including NPV, IRR, BCR, and discounted cash flow analysis for evaluating and comparing capital projects
  • Hands-on expertise in Excel and @Risk modelling for probabilistic cash flow forecasting, sensitivity analysis, tornado diagrams, and Monte Carlo simulation
  • Increased confidence in identifying, quantifying, prioritising, and responding to project risks using both qualitative and advanced quantitative methods
  • A structured approach to decision tree analysis, expected monetary value calculations, and ROI evaluation for complex investment decisions
  • Stronger professional credibility when engaging with project sponsors, investment boards, financial controllers, and senior leadership teams
  • Valuable networking opportunities with professionals specialising in project economics and risk management from a broad range of capital-intensive industries
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Who should Attend?

This 10-Day Advanced Project Economics & Risk Management Training Course is designed for professionals responsible for — or directly involved in — project financial evaluation, investment analysis, and risk management within capital-intensive environments. It is suitable for both professionals new to project financial analysis and experienced practitioners seeking to strengthen their advanced quantitative modelling and risk analysis capabilities.

This training course is suitable for a wide range of professionals but will greatly benefit:

  • Project managers, programme directors, and project engineers involved in project appraisal, financial planning, and risk management
  • Planning managers, cost engineers, and project control specialists responsible for project budgeting, forecasting, and expenditure management
  • Commercial managers, economists, and business consultants engaged in investment analysis, profitability assessment, and project justification
  • Asset managers, product managers, and analysts focused on maximising returns on operational and development investments
  • Government representatives and public sector professionals overseeing infrastructure investment, capital expenditure, and fiscal risk management
  • Financial analysts, project advisors, and risk professionals providing quantitative analysis and consultancy services within capital-intensive sectors

DAILY AGENDA

Module I: Project Analysis: Tools & Techniques for Managing Risk & Uncertainty

Day 1: Fundamentals of Decision Analysis
  • What is project management decision analysis?
  • The purpose of the project business case
  • The need for systematic risk management for decision-making
  • Risk and uncertainty on projects
  • Option analysis
  • Identifying key decision-making factors

Measures of Project Profitability

  • Fundamental tools of engineering economics
  • Time value of money
  • Appraisal methods - Discounted Cash Flow Projections
  • Time equivalence
Day 2: Cash-Flow Modelling and Project Decision Analysis
  • Financial Modelling and Project Evaluation
  • Internal Rate of Return computations (IRR)
  • Determining the Internal Rate of Return (IRR)
  • The risk of not understanding IRR

Analysing Project Specifics

  • Understanding the project context to assist in decision-making
  • Determine stakeholders and their level of influence
  • Capture requirements
  • Determine scope of work
Day 3: The Cost of Capital
  • Capital & Operating Expenditures (CAPEX / OPEX)
  • Estimating the cost of capital for a project
  • Benefit-Cost Ratio (BCR)
  • Dis-benefits

Risk Modelling in Practice

  • Identify Risks
  • Forecasting risk impacts & probabilities
  • Opportunity costs, sunk costs & salvage value of a project
  • Determining the Risk Priorities
  • The need for company cash flow
Day 4: Decision Analysis: Expected Value Concept
  • Basic Probability Concepts
    • Fundamental probability concepts
    • Mutually & non-mutually exclusive, independent events
  • Quantitative Project Risk Analysis
    • Semi-quantitative bow-tie process
    • Detailed risk quantification and prioritisation
    • Expected monetary value
    • Scenario planning
  • Sensitivity Analysis Tools
    • Simulation process
    • Tornado diagram
    • Defining the variables - PERT
Day 5: Decision Trees, EMV, Risk Responses and ROI
  • Decision Tree Analysis
    • Developing decision trees
    • Solving decision trees
  • Risk Responses
    • Developing risk responses
    • Evaluating response relevance
  • ROI Analysis
    • Understanding ROI
    • Identifying ROI
    • Evaluating and presenting your project options

Module II: Advanced Project Economics, Risk & Decision Analysis

Day 6: Development Economics
  • A brief history of energy usage
  • Principles of development economics
  • Understanding of economic terms
  • Inflation and its impact on nominal & real cashflows
  • Project financing
Day 7: Uncertainty in Investments
  • Handling uncertainty in capital projects
  • Understanding probability concepts
  • The expected value concept: features and pitfalls
    • Expected Monetary Value (EMV)
    • Expected Profitability Index (EPI)
    • Expected Opportunity Loss (EOL)
Day 8: Risks and Uncertainties
  • Risk & uncertainty
  • Risk aversion and risk premium
  • Exploration project threats and opportunities
  • Economic decision criteria
  • Decision tree analysis
  • Probability distribution
  • Monte Carlo simulation
Day 9: Setting-up Spreadsheet Calculations Using Excel
  • Spreadsheet Calculations
    • Cashflow analysis
    • Sensitivity analysis calculations
    • Tornado diagrams
  • Introduction to Monte Carlo simulations using @Risk
Day 10: Practical Use of the @Risk add-on
  • Developing an integrated economic model
  • Developing and using an @Risk Model Analysis
  • Project sensitivity analysis utilizing data from @Risk Model
  • Training course final review and close
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Certificate

  • On successful completion of this training course, KC Academy Certificate will be awarded to the delegates.