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Accounting, Finance & Budgeting

Project Economics, Risk & Decision Analysis

Also Available OnlineAccounting, Finance & Budgeting
Project Economics, Risk & Decision Analysis
Project Economics, Risk & Decision Analysis

LENGTH

5 Days

TYPE

Classroom

COURSE ID

AFBL1077

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University Collaboration

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Upcoming Dates

VenueAvailable Date
Kuala Lumpur24-08-2026
Amsterdam24-08-2026
Istanbul31-08-2026
Paris07-09-2026
Singapore07-09-2026
London14-09-2026
Barcelona14-09-2026
Dubai20-09-2026
Kuala Lumpur21-09-2026
Amsterdam28-09-2026
Milan28-09-2026
Istanbul28-09-2026
Singapore05-10-2026
Paris05-10-2026
Barcelona12-10-2026
London12-10-2026
Dubai18-10-2026
Kuala Lumpur19-10-2026
Milan19-10-2026
Istanbul26-10-2026
Amsterdam26-10-2026
Kuala Lumpur02-11-2026
Barcelona02-11-2026
Istanbul09-11-2026
Milan09-11-2026
Paris16-11-2026
London23-11-2026
Amsterdam23-11-2026
Dubai29-11-2026
Singapore30-11-2026
Amsterdam07-12-2026
Milan07-12-2026
Paris07-12-2026
Singapore14-12-2026
London14-12-2026
Dubai20-12-2026
Barcelona21-12-2026
Kuala Lumpur21-12-2026
Istanbul28-12-2026

Capital-intensive projects require disciplined economic evaluation and structured decision-making under uncertainty. Without rigorous financial modelling and risk assessment, organisations risk misallocating capital, underestimating uncertainty, and compromising long-term value creation.

The Project Economics, Risk & Decision Analysis course by LPC Training equips participants with advanced analytical tools to evaluate project feasibility, structure cash flows, and manage risk exposure. Over five structured days, participants explore time value of money, discounted cash flow modelling, capital allocation strategies, sensitivity analysis, Monte Carlo concepts, and decision tree methodologies.

This course focuses on practical investment decision frameworks within corporate and infrastructure environments. Participants will examine probabilistic analysis, capital constraints, and real options thinking to strengthen strategic judgement. By the end of the programme, participants will be able to assess competing investments systematically and make robust decisions under uncertainty.

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