Course in Business Models in Mining
Online 300 h course in business models in mining. 6 modules with JORC Code 2012 (resource and reserve reporting), NI 43-101 (disclosure of mining projects) and advanced Excel (DCF models). Assigned tutor and enrolment open.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse the mining value chain and the main business models in the sector.
Interpret price formation and concentrate sales contracts.
Build a discounted cash flow model of a mining project.
Evaluate financing, royalty and streaming alternatives.
Compare in-house operation with mining contractor models.
Integrate closure, rehabilitation and ESG criteria into the evaluation.
Present a mining business case with risk and sensitivity analysis.
Who it's for
- Mining investment analyst looking to specialise in Business Models in Mining.
- Mining project evaluation engineer looking to specialise in Business Models in Mining.
- Mining business development manager looking to specialise in Business Models in Mining.
- Mining operations controller looking to specialise in Business Models in Mining.
- Natural resources strategy consultant looking to specialise in Business Models in Mining.
- Mining contracts manager looking to specialise in Business Models in Mining.
- Engineering or science graduates looking to enter metal mining.
What you'll work with
- JORC Code 2012 (resource and reserve reporting)
- NI 43-101 (disclosure of mining projects)
- CRIRSCO Template (international classification of resources)
- IFRS 6 (exploration and evaluation of mineral resources)
- Ley 22/1973 de Minas
- Regulation (EU) 2024/1252 (critical raw materials)
- Global Industry Standard on Tailings Management (GISTM)
- Directive 2006/21/EC (extractive waste)
6 modules · 300 h
1.1Value chain: exploration, development, extraction, processing and sale1.2Metallic, industrial and energy minerals1.3Mining project life cycle and its milestones1.4Capital intensity and time horizon1.5Typical cost structure of an operation1.6The role of mineral price in viability1.7Players: owner, operator, contractor and buyer1.8Large-scale and small-scale mining1.9Country risk and concession framework1.10Workshop: describing the business model of a mine
2.1Mineral price formation2.2Benchmark markets and sales contracts2.3Concentrates: quality, penalties and tolling2.4Long-term contracts versus the spot market2.5Hedging price and currency risk2.6Sales logistics and transport costs2.7Industrial customers and required traceability2.8Critical minerals and industrial policy2.9Demand trends driven by the energy transition2.10Practice: analysis of a concentrate sales contract
3.1Scoping, prefeasibility and feasibility studies3.2Estimating investment and operating costs3.3Project cash flow and its construction3.4Net present value, internal rate of return and payback period3.5Cut-off grade and its effect on value3.6Sensitivity analysis to price, grade and costs3.7Scenario simulation and project risk3.8Value of the option to wait and to expand3.9Reserve reporting and applicable codes3.10Practice: economic evaluation of a project
4.1Funding sources for mining projects4.2Mining venture capital and capital markets4.3Project finance and guarantees4.4Royalty and streaming agreements4.5Joint ventures and operating agreements4.6Technical and legal due diligence4.7Environmental and social requirements of lenders4.8Financial guarantees for closure4.9Dilution and stake management4.10Practice: financing structure of a project
5.1In-house operation versus mining contracting5.2Loading and haulage service contracts5.3Payment models per tonne and per hour5.4Energy supply and purchase agreements5.5Maintenance and manufacturer agreements5.6Spare parts and consumables management5.7Local hiring and supplier development5.8Cost and productivity indicators5.9Contractor control and risk management5.10Practice: comparison of in-house and contracted operation
6.1Social licence and community relations6.2Environmental framework and operating conditions6.3Water, waste and tailings dams6.4Carbon footprint and decarbonisation of operations6.5Sustainability reporting and investor expectations6.6Closure plan and long-term liabilities6.7Site repurposing and later uses6.8Reputational and governance risks6.9Common mistakes in mining business models6.10Final project: complete business model of a mining operation
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is advanced Excel (DCF models), @RISK (Monte Carlo simulation), Deswik, Power BI, Python (pandas, numpy-financial), in free, academic or evaluation versions. Case studies are based on real procedures from financial models of mining projects, sensitivity analysis to metal prices and prefeasibility studies. Assessment is continuous, module by module, plus a final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Analyse the mining value chain and the main business models in the sector.
Interpret price formation and concentrate sales contracts.
Build a discounted cash flow model of a mining project.
Evaluate financing, royalty and streaming alternatives.
Compare in-house operation with mining contractor models.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulations.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You will work with advanced Excel (DCF models), @RISK (Monte Carlo simulation), Deswik, Power BI, Python (pandas, numpy-financial). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An own SEIUM diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when enrolling.
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