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Mining Economics Course
More than 2 million students worldwide

Mining Economics Course

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Master the full economic framework behind mining investment decisions, from cost analysis and commodity pricing to project valuation and risk management. This course equips mining professionals, analysts, and engineers with the rigorous financial tools used by leading companies worldwide. Build the skills to evaluate any mining asset with confidence and precision.

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What you will learn:

This course covers the full spectrum of mining economics, starting with industry structure and mineral resource classification and advancing through cost estimation, commodity price forecasting, and revenue modelling. You will construct integrated financial models, apply discounted cash flow valuation, and conduct sensitivity and scenario analysis on real project data. The curriculum also addresses fiscal regimes, geopolitical risk, feasibility study standards, and corporate portfolio strategy. Supplementary modules cover ESG metrics, digital modelling tools, commodity markets, and professional ethics. By the end, you will be equipped to evaluate mining projects and communicate economic findings to investors, boards, and technical teams.

How you study in practice Mining Economics Course

How you practise Mining Economics Course

For companies looking to train their teams

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Course content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Mining Economics

  • Lesson 1 • Core Economic Concepts for Mining

    Covers supply and demand, elasticity, and market equilibrium as they apply to mineral commodities. Builds the analytical vocabulary used throughout the course.

  • Lesson 2 • The Mining Industry Overview

    Introduces the structure, scale, and economic significance of the global mining sector. Provides the industry context needed for all subsequent economic analysis.

  • Lesson 3 • Mining Business Models

    Surveys ownership structures, operating models, and revenue mechanisms in mining. Grounds students in how mining enterprises generate and distribute value.

  • Lesson 4 • Mineral Resource Classification

    Explains resource and reserve classification systems and their economic implications. Connects geological data to financial and investment decision-making.

Chapter 2See details

Cost Analysis in Mining Operations

  • Lesson 1 • Cost Drivers and Sensitivity

    Analyses labour, energy, consumables, and grade as primary cost drivers. Prepares students to identify which variables most affect project economics.

  • Lesson 2 • Cost Control and Reduction Strategies

    Presents operational and strategic approaches to managing and reducing mining costs. Links cost discipline to long-term project viability and competitiveness.

  • Lesson 3 • Cost Estimation Methods

    Covers factored, parametric, and bottom-up estimation techniques for mining projects. Equips students to select and apply the appropriate method by project stage.

  • Lesson 4 • Unit Cost Metrics and Benchmarking

    Introduces cost-per-tonne, all-in sustaining cost, and all-in cost metrics. Enables comparison of operational efficiency across mines and commodities.

  • Lesson 5 • Mining Cost Categories

    Distinguishes capital, operating, and sustaining costs across the mine life cycle. Establishes the cost taxonomy applied in all financial modelling chapters.

Chapter 3See details

Commodity Pricing and Revenue Modeling

  • Lesson 1 • Revenue Calculation and Payability

    Explains how gross revenue is adjusted for payability, penalties, and treatment charges. Connects commodity price to net smelter return and realised revenue.

  • Lesson 2 • Production Scheduling and Revenue Profiles

    Links mine production schedules to annual revenue projections over the project life. Demonstrates how grade, throughput, and price interact to shape cash flow timing.

  • Lesson 3 • Price Forecasting Approaches

    Covers consensus, long-run marginal cost, and scenario-based price forecasting methods. Students learn to select and justify price assumptions in project evaluations.

  • Lesson 4 • Commodity Price Determinants

    Examines supply-side, demand-side, and macroeconomic factors driving mineral prices. Provides the analytical basis for price forecasting used in revenue models.

Chapter 4See details

Financial Modeling for Mining Projects

  • Lesson 1 • Model Validation and Auditing

    Presents techniques for checking model integrity, logic, and consistency. Builds professional standards for delivering reliable financial models to decision-makers.

  • Lesson 2 • Taxation and Royalty Modeling

    Explains corporate income tax, resource rent tax, and royalty regimes in financial models. Ensures accurate after-tax cash flow projections for project evaluation.

  • Lesson 3 • Capital Structure and Financing

    Covers debt, equity, and hybrid financing options and their effect on project cash flows. Enables students to model financing structures and assess their economic impact.

  • Lesson 4 • Building the Project Cash Flow Model

    Guides construction of a life-of-mine cash flow model integrating revenue, costs, and taxes. Produces the core analytical tool for investment decision-making.

  • Lesson 5 • Financial Statement Fundamentals

    Reviews income statements, balance sheets, and cash flow statements in a mining context. Establishes the accounting framework underlying all project financial models.

Chapter 5See details

Project Valuation and Investment Appraisal

  • Lesson 1 • Discounted Cash Flow Valuation

    Applies NPV and IRR analysis to life-of-mine cash flow models. Enables students to rank projects and set investment thresholds using standard industry metrics.

  • Lesson 2 • Time Value of Money in Mining

    Establishes present value, future value, and discounting concepts in a mining context. Provides the mathematical foundation for all valuation techniques in this chapter.

  • Lesson 3 • Sensitivity and Scenario Analysis

    Quantifies how changes in price, grade, and cost assumptions affect project value. Teaches structured methods for communicating valuation uncertainty to stakeholders.

  • Lesson 4 • Comparative and Market Valuation

    Covers enterprise value per resource, price-to-NAV, and transaction multiples for mining assets. Provides market-based checks on DCF valuations for investment decisions.

  • Lesson 5 • Real Options in Mining Valuation

    Introduces option-to-expand, option-to-abandon, and option-to-defer frameworks. Extends DCF valuation to capture strategic flexibility embedded in mining projects.

Chapter 6See details

Risk Analysis and Management in Mining

  • Lesson 1 • Probabilistic Risk Quantification

    Applies Monte Carlo simulation and probability distributions to project cash flows. Produces probabilistic NPV and IRR distributions for informed decision-making.

  • Lesson 2 • Risk Mitigation and Contingency Planning

    Designs risk registers, contingency budgets, and insurance strategies for mining projects. Connects risk identification to actionable mitigation plans and cost provisions.

  • Lesson 3 • Commodity Price Risk Management

    Covers hedging instruments including forwards, futures, and options for price risk. Enables students to evaluate the cost and benefit of price protection strategies.

  • Lesson 4 • Mining Risk Taxonomy

    Categorises geological, technical, market, regulatory, and social risks in mining. Establishes a shared risk language used throughout the chapter and course.

  • Lesson 5 • Geopolitical and Regulatory Risk

    Analyses country risk, fiscal regime stability, and permitting risk in project evaluation. Teaches methods for quantifying and pricing political risk in investment models.

Chapter 7See details

Mine Feasibility Studies and Decision Gates

  • Lesson 1 • Study Stages and Accuracy Standards

    Defines scoping, pre-feasibility, and feasibility study levels and their cost accuracy ranges. Establishes the progression of study rigour required before capital commitment.

  • Lesson 2 • Economic Criteria and Decision Thresholds

    Establishes NPV, IRR, and payback thresholds used by mining companies to approve projects. Teaches how to interpret economic results against corporate investment criteria.

  • Lesson 3 • Technical Inputs to Feasibility Studies

    Covers geology, mining method, processing, and infrastructure inputs to economic models. Shows how technical assumptions directly drive financial outcomes in feasibility work.

  • Lesson 4 • Stage-Gate Review Process

    Explains the governance process for advancing projects through study and approval gates. Prepares students to participate in and lead investment decision reviews.

  • Lesson 5 • Feasibility Study Reporting Standards

    Reviews professional reporting standards for resource, reserve, and economic disclosures. Ensures students can assess compliance and credibility of published feasibility reports.

Chapter 8See details

Strategic Economics and Portfolio Management

  • Lesson 1 • Closure Economics and Asset Retirement

    Quantifies closure costs, rehabilitation obligations, and asset retirement provisions. Integrates end-of-mine-life economics into full life-cycle project valuation.

  • Lesson 2 • Corporate Strategy in Mining

    Examines growth, diversification, and focus strategies used by mining companies. Connects corporate strategy to asset selection, capital allocation, and shareholder value.

  • Lesson 3 • Mine Life Extension and Brownfield Economics

    Analyses the economics of resource extension, expansion, and brownfield development. Demonstrates why brownfield projects often deliver superior returns to greenfield alternatives.

  • Lesson 4 • Capital Allocation Across the Portfolio

    Applies portfolio theory and capital rationing to competing mining investment opportunities. Teaches prioritisation frameworks that maximise returns across a project pipeline.

  • Lesson 5 • Mergers, Acquisitions, and Divestitures

    Covers valuation, due diligence, and deal structuring for mining asset transactions. Equips students to evaluate whether acquisitions create or destroy economic value.

Certification

Your valid completion certificate

This course is for you:

  • Mining engineers wanting to strengthen their financial decision-making capabilities.

  • Geologists wanting to connect resource data to investment and valuation outcomes.

  • Finance analysts entering the natural resources or extractive industries sector.

  • Project managers overseeing mine development who need economic fluency fast.

  • Business students specialising in commodities, energy, or resource-based economies.

  • Career changers from adjacent industries aiming to break into mining finance.

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