This course provides an applied introduction to predictive geometallurgy and its role in optimising mining operations. Participants explore how geometallurgical models and forecasting techniques can be used to anticipate processing behaviour, improve operational efficiency, and support data-driven decision-making across the mining value chain.
The course covers core principles of predictive geometallurgy, modelling and forecasting methods, optimisation strategies, and real-world case studies. Emphasis is placed on developing, interpreting, and communicating predictive models that integrate geological, metallurgical, and operational data. On completion, participants will be able to apply predictive geometallurgical approaches to enhance mine planning and operational performance.
Requirements
- NQF 7 qualification
- 2+ years working experience
Target Audiences
- Geologists, mine planners, mine surveyors, and mineral resource practitioners seeking to sharpen applied technical skills
- Mine valuators, metal accountants, and mining business intelligence practitioners responsible for resource and financial assessment
- Professionals in banking, finance, and economics involved in mineral asset valuation, investment, and the trading of critical and strategic materials
- Policy advisors and political strategists engaged in national mineral assessments and resource governance
- Participants from the mining, exploration, and allied industries (including consultants, suppliers, and service providers)
- Early-career professionals, graduates, and anyone seeking to master a range of applied principles relevant to the modern minerals sector
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