Master Financial Modeling for Real-World Impact
Join Australia's most practical financial modeling program. Learn from industry veterans who've built models that actually get used in boardrooms.
Learn More About Our ProgramHow We Actually Teach This Stuff
Most financial modeling courses teach you to build perfect spreadsheets in a vacuum. That's not how real business works.
We teach you to build models that survive first contact with actual business decisions — messy data, changing requirements, and all.
Problem-First Learning
Every model starts with a real business problem we've encountered. You'll understand why you're building what you're building before you touch a single cell.
Imperfect Data Practice
Clean datasets don't exist in the wild. We give you messy, incomplete data and teach you to work with what you've got — just like you'll face at work.
Stakeholder Communication
The best model in the world is useless if you can't explain it to someone who needs to make decisions. We teach presentation alongside technical skills.
Iterative Building
Real models evolve. Requirements change. We teach you to build flexible structures that can adapt when your CFO inevitably says "what if we also looked at..."
Your Learning Journey
Six months from spreadsheet basics to building models that influence million-dollar decisions. Here's how we get you there.
Foundation & Structure
Master the building blocks that separate professional models from amateur spreadsheets.
- Model architecture principles
- Data validation techniques
- Error checking systems
- Documentation standards
Financial Statement Modeling
Build integrated three-statement models that actually balance and make sense.
- Income statement dynamics
- Balance sheet relationships
- Cash flow integration
- Working capital modeling
Valuation Models
DCF, comparable company analysis, and precedent transactions that stand up to scrutiny.
- DCF methodology
- Terminal value approaches
- Multiple-based valuation
- Sensitivity analysis
Advanced Applications
LBO models, merger models, and scenario analysis for complex transactions.
- Leveraged buyout modeling
- Merger consequences
- Monte Carlo simulation
- Real options theory
Industry Applications
Sector-specific considerations for retail, tech, resources, and financial services.
- Industry-specific metrics
- Cyclical vs. growth modeling
- Regulatory considerations
- Market timing factors
Professional Practice
Client presentation, model governance, and dealing with the unexpected.
- Executive communication
- Model auditing
- Change management
- Professional standards
Progressive Skill Building
Each module builds on the previous one, but also stands alone as a practical skill. By month three, you'll be building models that could be used in real transactions. By month six, you'll be ready for senior analyst roles.
Real Projects, Real Lessons
These aren't theoretical case studies. Every project in our program is based on actual work our instructors have done — complete with the mistakes, iterations, and lessons learned.
Retail Chain Expansion Model
Major Australian Retailer
Built a location-by-location expansion model for a retail client looking to grow from 50 to 200 stores. The challenge wasn't just forecasting sales — it was modeling the cannibalization effects, supply chain costs, and working capital requirements.
What We Learned:
Initial assumptions about customer catchment areas were completely wrong. The model had to be rebuilt three times as real data came in. Students learn to build flexible structures from day one.
Mining Asset Valuation
Mid-Tier Resources Company
Valued a copper mine for acquisition purposes during the commodity price uncertainty of 2024. The model needed to handle volatile input prices, regulatory changes, and technical mining parameters most financial analysts never see.
What We Learned:
Monte Carlo simulation became essential when traditional sensitivity analysis wasn't enough. Students learn when simple tools aren't sufficient and how to step up to more sophisticated approaches.
Tech Startup Series B Model
Melbourne SaaS Company
Built a growth model for a B2B software company raising their Series B round. Traditional financial metrics didn't apply — we had to model user acquisition costs, churn rates, and expansion revenue in a rapidly changing market.
What We Learned:
Unit economics matter more than traditional ratios for growth companies. The model that convinced investors looked nothing like a standard DCF. Students learn to match methodology to business reality.
Learn from People Who've Been There
Our instructors aren't just academics. They're working professionals who build financial models for living, breathing companies with real money on the line.
Xavier Chen
Senior Director, Corporate Development
Spent eight years at Macquarie before moving to corporate development. Has built models for over B in M&A transactions and learned the hard way that the perfect model on paper often needs serious adjustment when lawyers and accountants get involved.
Darius Mitchell
Portfolio Manager & Former Investment Banker
Built his first DCF model as a graduate at Deutsche Bank in 2018. Now manages a 0M equity portfolio and has seen enough models to know which ones actually work in practice versus which ones just look impressive in presentations.
Next Cohort Starts July 2025
Six months of intensive, practical training with a maximum of 12 students per cohort. We keep classes small because building good models requires individual feedback.
Program Details
Duration: 6 months (July
- December 2025)
Format: Evening sessions + weekend workshops
Location: Brisbane CBD + Online components
Class Size: Maximum 12 students