Build Financial Models That Actually Work

Stop guessing. Start building scenario models that help you see what's coming and make decisions with confidence.

Financial modeling workspace showing scenario planning tools and analysis methods

Progressive learning stages in financial scenario modeling course

Your Learning Path Through Real Scenarios

Months 1-2: Foundation Building

You'll start with the basics that matter. We cover how businesses actually use numbers, why certain metrics exist, and what makes a forecast useful versus decorative. No jargon dumps—just practical groundwork.

Months 3-4: Model Construction

This is where things get interesting. You'll build your first complete models using real data sets. Cash flow, revenue projections, expense tracking. We focus on structures that don't break when assumptions change.

Months 5-6: Scenario Planning

Here's the good part: learning to test different futures. What happens if revenue drops 15%? What if expansion costs double? You'll build models that answer these questions without starting from scratch each time.

Months 7-8: Advanced Integration

We bring it all together. Multi-year projections, sensitivity analysis, and presentation skills. Because a model nobody understands helps nobody. You'll finish with portfolio work that shows what you can actually do.

Early Breakthroughs You Might See

Week 3: First Working Model

Most participants build something usable by week three. Not fancy, but functional. A simple cash flow tracker or basic revenue forecast that updates automatically. It's a small win that builds momentum.

Week 6: Pattern Recognition

Around this point, numbers start making sense differently. You begin spotting trends, understanding why certain months spike, seeing connections between variables. It clicks faster than you'd expect.

Week 10: Scenario Confidence

This is when people start testing ideas. What if we hired two people? What if sales increased 20%? You'll have tools to explore these questions methodically instead of just hoping for the best.

Week 14: Professional Output

By this stage, your models look professional. Clean layouts, clear assumptions, easy to update. The kind of work that gets taken seriously in business discussions and planning meetings.

Week 18: Advanced Techniques

Now you're handling complex scenarios with multiple variables. Monte Carlo simulations might sound intimidating, but you'll understand when they're useful and how to apply them to real decisions.

Week 22: Portfolio Ready

Final projects often surprise people. You'll have a collection of models that demonstrate actual capability—not just completed assignments, but tools someone could use tomorrow.

Skills That Develop Through Practice

Financial modeling isn't about memorizing formulas. It's about building thinking patterns that help you break down complex business questions into testable components.

We structure learning around actual business scenarios. You'll work with data that looks like what companies deal with—incomplete, messy, requiring judgment calls. Because that's reality.

The goal is competence, not perfection. By the end, you should be able to sit down with a business problem, build a model that addresses it, and explain your thinking to people who matter.

Course begins September 2025. Eight months of guided work, with direct instructor feedback on every major project. Small cohorts mean you're not just a number.

See How We Teach

Detailed view of scenario modeling techniques and practical applications

Learn From Torstein Bjørnvik

Torstein spent twelve years building financial models for companies that couldn't afford mistakes. Manufacturing startups, retail expansion projects, tech pivots—situations where getting the numbers wrong had immediate consequences.

He started teaching because he got tired of seeing overcomplicated models that nobody could update or understand. His approach: build things that work, that others can use, that don't require a PhD to maintain.

His teaching philosophy is straightforward: if you can't explain your model to someone in ten minutes, it's probably too complicated. Models exist to help decisions, not impress people.

In his courses, expect direct feedback. He'll tell you when something works and when it doesn't, and more importantly, why. Students often mention his ability to break down complex concepts without making them feel simplified or dumbed down.

Ready to Build Something Useful?

September 2025 cohort opens for enrollment in June. Limited to 18 participants to maintain quality instruction and feedback. No prerequisites except basic spreadsheet comfort.

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