PROJECT FINANCE MODELING
Build, Analyze & Present Bankable Project Models
Master how to structure, model, and evaluate large-scale projects across infrastructure, energy, and real assets.
Why This Course Matters
Finance teams often struggle to properly model the viability, risk, and funding structures of large capital projects.
Without the right skills:
Cash flow models are unreliable
Debt structures are poorly understood
Investment decisions lack confidence
This programme equips you with the technical and practical modeling skills required to evaluate and present project finance opportunities with clarity.
Who This Course Is For
This programme is designed for:
Project Finance Professionals
Infrastructure & Energy Analysts
Investment Bankers
Development Finance Institution (DFI) Teams
Corporate Finance Teams Working on Capital-Intensive Projects
What You Will Learn
By the end of this programme, you will be able to:
- BuildĀ robust project finance models from scratch
- ModelĀ cash flows, debt structures, and repayment schedules
- ApplyĀ industry-specific fiscal frameworks (oil & gas, infrastructure, etc.)
- Evaluate projects usingĀ IRR, NPV, and key financial metrics
- StructureĀ cash flow waterfalls and financing layers
- Present investment insights clearly toĀ lenders and investors
All The Tools You Need To Build A Successful Online Business
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Meet Your Facilitator
David Brown
Managing Partner, dbrownconsulting | CEO, dbrown Analytic Solutions
Ā
David Brown brings almost 30 years experience building financial models for deals across the world including very large projects involving billions of dollars and smaller projects with unique complexities. His experience spans industries such as Oil and Gas, Telecoms, and Energy. He has also supported organizations in raising finance across these sectors and has provided thought leadership in the modeling space for decades.
Programme Structure
Choose the format that works best for you:
Option 1: Virtual + Self-Paced
- 2 weeks pre-work (self-directed)
- 5 weeks live sessions (10 sessions, 2 hrs each)
Option 2: Classroom
- 5 full days (9:00am ā€“ 4:00pm)
- 10 assignments
- Capstone project
- Lifetime LMS access
