Project Costing Analysis & Control Course in London

Keeping Project Costs on Track from Plan to Completion

A project can meet its technical objectives and still underperform financially. Inaccurate estimates, weak forecasting, uncontrolled changes, and unmanaged cost risks can quickly turn a viable project into an expensive one. Effective project cost management provides the financial visibility needed to spot these issues early and act before they affect the final outcome.

The Project Costing Analysis & Control training course provides a practical framework for estimating, budgeting, monitoring, and controlling project costs throughout the project lifecycle. Across five days, you'll explore CAPEX and OPEX, cost estimation techniques, budgeting and forecasting, variance analysis, Earned Value Management, cost-benefit analysis, and financial risk assessment.

The programme also examines how AI, automation, and digital cost-management tools are changing forecasting and reporting. By connecting financial analysis with project execution, you'll develop a more disciplined approach to protecting budgets, managing uncertainty, and supporting better investment decisions.

What You Will Learn

By the end of this Project Costing Analysis & Control Training Course, you will be able to:

• Understand the principles of project costing and cost management.
• Distinguish between CAPEX, OPEX, and other relevant project cost categories.
• Develop reliable project cost estimates and structured budgets.
• Apply appropriate cost estimation techniques at different project stages.
• Forecast project expenditure and identify potential budget deviations.
• Use variance analysis to investigate differences between planned and actual costs.
• Apply Earned Value Management (EVM) to assess cost and schedule performance.
• Conduct cost-benefit analysis to support project investment decisions.
• Monitor project expenditure and implement corrective cost-control actions.
• Identify and assess financial risks affecting project budgets.
• Establish contingency provisions and reserves for cost uncertainty.
• Use digital tools, AI, and automation to improve cost forecasting and reporting.