Financial Modeling for Mining: 4 Day Workshop | London City, ON

Group Discounts:

• Save 10% when registering 3 or more participants
• Save 15% when registering 10 or more participants

Duration: 4 Days

Delivery Mode: Classroom (In-Person)

Language: English

Credits: 32 PDUs / Training Hours

Certification: Course Completion Certificate

Refreshments: Lunch, snacks and beverages will be provided during the session

If you would like weekend training sessions, kindly reach out to us at [email protected] for availability and scheduling.

Course Overview:
Financial Modelling for mining projects including project evaluation and finance.

Mining projects face many unique challenges: high capital costs, long-term projects, and high variability in commodity prices.

This course focuses on providing delegates with an understanding of both the principles of financial modelling for mining projects and the practical application of these to real-world situations through the use of Excel.

The course then builds upon the principles and practices learned to apply these to build sophisticated analytical models that are robust, flexible and user-friendly.

• To provide participants with a good working knowledge of the most useful functions in Excel for financial modelling in the mining industry.
• To provide participants with a sound understanding of mining financial modelling and project evaluation concepts.
• To provide participants with experience in designing solutions to real-world financial modelling challenges.

None

There is no exam for this course.

• Business & Finance Analysts
• Investment & Corporate Bankers
• Finance staff
• Mine Accountants
• Project Managers
• Business Development Managers
• Mining Engineers
• Mine Managers

Mining projects require specialized financial modelling techniques due to fluctuating commodity prices, high capital investment, operational risks, and long project lifecycles. This practical 4-day course equips participants with industry-relevant financial modelling skills using Excel and real-world mining case studies. Participants will gain hands-on experience in project evaluation, valuation techniques, risk analysis, forecasting, and building robust mining financial models from scratch. The course is designed to improve analytical capabilities, enhance decision-making, and provide practical tools that can be immediately applied in mining and resource sector projects.

©2026 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

We offer customized in-house Financial Modelling for Mining training designed to align with your organization’s operational goals, project requirements, and business challenges. Whether your focus is mining project valuation, discounted cash flow (DCF) modelling, risk analysis, forecasting, capital expenditure modelling, or scenario and sensitivity analysis, the course can be tailored to suit your industry environment and team structure.

This practical training ensures your teams develop consistent, industry-relevant financial modelling capabilities that support better decision-making, improve project evaluation accuracy, and enhance overall financial performance across mining operations and investment projects.

📧 Contact us today to schedule a customized in-house, face-to-face session: [email protected]

Info: Learn advanced Excel techniques essential for building robust, flexible, and user-friendly financial models.

• Working with large datasets
• Data summarization and aggregation
• Flexible formulas and data extraction
• Error handling techniques
• Structuring spreadsheets effectively
• Building flexible yet consistent formulas
• Combining and splitting cell data
• Dynamic ranges and automatically expanding charts
• Introduction to macros and automation
• Practical hands-on Excel exercises

Info: Understand the fundamentals of financial models and spreadsheet design standards used in the mining and project sectors.

• Introduction to financial modelling
• Types of mining sector models
• Model-building process and methodology
• Spreadsheet modelling standards
• Flexibility, scalability, and consistency in model design
• Usability and functionality improvements
• Designing checks, controls, and balances
• Optimizing Excel for faster modelling

Info: Learn core financial concepts and evaluation techniques used in project assessment.

• Principles of risk and return
• Volatility and capital structures
• Weighted Average Cost of Capital (WACC)
• Cost of equity calculations
• Mining accounting principles
• Project evaluation methods: NPV, IRR, Payback & VIR
• Feasibility studies and evaluation approaches
• Free cash flow analysis
• Economic limit and life-of-mine calculations

Info: Build practical financial models using real-world case studies.

• Forecasting future performance using historical data
• Modelling capital expenditure
• Discounted cash flow (DCF) modelling
• Sensitivity analysis and scenario modelling
• Introduction to Monte Carlo simulation & stochastic modelling
• Real options and alternative evaluation methods
• Presenting financial analysis to decision-makers

Info: Develop complete financial models through practical exercises.

• Income statement modelling
• 3-way financial models (Income Statement, Balance Sheet & Cash Flow)
• Resolving circular references
• Financial ratio analysis
• Company valuation using DCF
• Scenario and sensitivity modelling
• Monte Carlo simulation techniques
• Model optimization and break-even analysis

Info: Learn techniques to identify, prevent, and manage modelling errors.

• Financial model auditing and review
• Importance of model audits
• Excel auditing tools
• Automated testing tools: purpose, benefits & limitations
• Model documentation best practices

Info: Explore financial modelling software solutions and complete final model reviews.

• Overview of financial modelling software
• Advantages and limitations
• Software demonstrations
• Final integrated modelling exercises and discussions

Know what’s Happening Next — before everyone else does.

Get App

Host or Publisher Catils_inc