
Mining Economics Course
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.
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
With Dedika for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Mining Economics
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 2HideHide detailsSee detailsCost Analysis in Mining Operations
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 3HideHide detailsSee detailsCommodity Pricing and Revenue Modeling
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 4HideHide detailsSee detailsFinancial Modeling for Mining Projects
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 5HideHide detailsSee detailsProject Valuation and Investment Appraisal
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 6HideHide detailsSee detailsRisk Analysis and Management in Mining
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 7HideHide detailsSee detailsMine Feasibility Studies and Decision Gates
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 8HideHide detailsSee detailsStrategic Economics and Portfolio Management
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.
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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