Advanced Financial Modeling Program

Master real-world financial analysis through hands-on projects and industry-standard methodologies. Build models that actually work in professional settings.

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Your Learning Journey

We've structured this program around the way financial professionals actually work. You'll start with core principles, then dive into specialized areas that match current industry demands.

Foundation Building

Master Excel fundamentals and basic financial concepts through practical exercises

Model Construction

Learn to build three-statement models and conduct sensitivity analyses

Advanced Applications

Work with DCF models, merger models, and industry-specific scenarios

Portfolio Development

Create presentation-ready models for your professional portfolio

16-Week Curriculum

Each module builds on previous skills while introducing new concepts through real business cases

Financial Foundations

Weeks 1-3

Start with accounting principles and cash flow mechanics. We use real company data so you understand how financial statements connect to actual business operations.

Income Statement Analysis Balance Sheet Modeling Cash Flow Forecasting

Excel Mastery for Finance

Weeks 4-6

Beyond basic functions - learn the advanced Excel techniques that investment banking and corporate finance teams actually use daily. Focus on efficiency and error prevention.

Dynamic Formulas Data Validation Scenario Planning Chart Creation

Valuation Methods

Weeks 7-10

Build comprehensive DCF models from scratch. Learn when different valuation approaches work best and how to present findings to stakeholders who make investment decisions.

DCF Analysis Comparable Company Analysis Risk Assessment

Industry Applications

Weeks 11-14

Work with sector-specific models for tech, retail, and resources companies. Each industry has unique metrics and modeling approaches that matter to analysts and investors.

SaaS Metrics Commodity Pricing Retail Analytics

Portfolio & Presentation

Weeks 15-16

Complete your final project with a company of your choice. Present your analysis and recommendations to industry professionals who provide feedback on your work.

Executive Summaries Model Documentation Professional Presentation

Learn from Industry Practitioners

Our instructors work in finance roles at major institutions and bring current market experience to every class

Silas Morgenthal

Senior Vice President, Investment Banking

Silas leads M&A transactions for mid-market companies across Australia and Asia. He's built over 200 financial models for deal evaluation and has particular expertise in technology and healthcare sectors. Before joining our program, he spent eight years at Goldman Sachs Melbourne.

Cordelia Vance

Director, Equity Research

Cordelia covers ASX-listed mining and resources companies for institutional clients. Her models directly influence investment decisions managing billions in assets. She's known for making complex financial concepts accessible and focuses on practical applications that students can use immediately.

Common Questions

Here's what most prospective students want to know about our program structure and requirements

You need basic Excel skills and comfort with numbers. Most successful students have some business or finance education, but we've had people from engineering, law, and other fields do well. The key is being willing to practice outside of class time.

Plan for 6-8 hours of work outside class each week. This includes reviewing lectures, working through practice problems, and building your models. The workload is heaviest during weeks 7-10 when you're learning valuation techniques.

We offer career guidance and help with resume review, but we don't guarantee job placement. Many graduates have moved into analyst roles or advanced within their current companies. Your portfolio projects from the course often become talking points in interviews.

Microsoft Excel is essential - we recommend the full Office 365 version for best compatibility. We also introduce Bloomberg Terminal basics and some Python libraries for data analysis, but Excel remains the primary tool throughout the program.

Yes, most of our students work full-time. Classes are evening and weekend sessions, with some content available for flexible viewing. However, the program is demanding and requires consistent effort to keep up with assignments and projects.

Ready to Start Building Models?

Our next cohort begins September 2025. We limit class sizes to ensure individual attention and quality feedback on your work.

Applications close July 15th, 2025

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