About the Course
Real estate private equity firms expect you to prove why a deal works, not just describe the asset. That means you need to show how the acquisition price, lease profile, operating expenses, financing terms, and exit assumptions interact inside a model that can be defended under pressure. In this field, you are expected to demonstrate underwriting discipline, cash flow logic, IRR analysis, equity multiple analysis, DSCR thinking, and sensitivity testing against a realistic operating case. This course uses those core elements as the backbone of a practical real estate private equity modelling workflow.
The course turns scattered finance knowledge into a structured system for underwriting and presentation. You will practice building acquisition assumptions, modeling operating cash flows, calculating levered and unlevered returns, and testing exit value under different cap rate and financing scenarios. You will also be introduced to waterfall concepts, goal seek, and scenario analysis at a level that helps you read and adapt existing models with confidence. What you will learn: how to build a real estate private equity model in Excel, how to calculate core returns and debt metrics, and how to turn the model into a decision-ready investment view. The hands-on work focuses on a working deal model, while advanced multi-tier waterfall design is introduced conceptually so the course stays realistic for a foundation-to-intermediate audience.
The course also reflects the constraints you actually face in deal teams: compressed transaction timelines, incomplete operating data, varying lender terms, and pressure to produce clean outputs for investment committees. It is structured for professionals who must deliver accurate analysis with limited time, not for theoretical study. You will work through practical modelling decisions that mirror acquisition screening, capital stack review, and investor reporting in typical real estate private equity environments.
Target Audience
This real estate private equity modelling course is designed for professionals who need to build, review, or explain investment models in acquisition, asset management, or development settings.
- Acquisitions Analysts who underwrite purchase opportunities and test deal returns
- Real Estate Private Equity Associates who build and review transaction models
- Investment Analysts who assess leverage, IRR, and equity multiple outcomes
- Asset Management Analysts who track performance against underwriting assumptions
- Development Finance Analysts who model project cash flows and exit value
- Real Estate Investment Managers who screen opportunities for investment committee review
- Portfolio Analysts who compare asset-level returns across property strategies
- Financial Planning and Analysis Managers who support real estate investment decisions
- Real Estate Finance Consultants who prepare valuation and sensitivity analyses
- Development Managers who need credible modeling support for capital decisions
Course Objectives
This course equips you to design, execute, and measure real estate private equity modelling work that supports acquisition analysis, financing decisions, and investment committee reporting.
- Assess a deal's current state using an Excel acquisition model, NOI bridge, and cap rate assumptions.
- Apply discounted cash flow and IRR calculations to test real estate private equity returns.
- Design a levered and unlevered cash flow model with operating income, debt service, and exit proceeds.
- Build sensitivity tables for purchase price, rent growth, exit cap rate, and leverage assumptions.
- Calculate DSCR, equity multiple, and unlevered yield using structured Excel formulas and scenarios.
- Classify transaction inputs into acquisition costs, operating assumptions, financing terms, and exit variables.
- Compare financing structures and return outcomes using goal seek and scenario analysis in Excel.
- Synthesize model outputs into an investment summary, capital stack view, and committee-ready recommendation.
Requirements & Prerequisites
Participants should have a working understanding of basic corporate finance concepts such as cash flow, discounting, and return metrics, plus comfort using Microsoft Excel for formulas and tables. No coding is required. Prior exposure to real estate terminology such as NOI, cap rate, lease income, and debt amortization will help, but the course begins with foundations and builds toward applied underwriting. The course teaches advanced concepts at an operational level, with hands-on Excel implementation for core calculations and conceptual introduction to waterfall mechanics.
Local Application and Business Return in Sweden
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn real estate private equity modelling aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on Excel exercise calculating NOI, IRR, and equity multiple from a deal dataset.
- Scenario simulation testing a property acquisition under refinancing, vacancy, and exit cap rate pressure.
- Diagnostic review of an acquisition model against investment banking-style formatting and formula integrity checks.
- Stakeholder mapping exercise for investment committee, lender, sponsor, and asset management reporting.
- Case study analysis from office, multifamily, industrial, and retail real estate transactions.
- Group workshop building a compact acquisition model and investment summary under time constraints.
- Reflection exercise comparing model outputs against underwriting benchmarks and observed deal assumptions.
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Real Estate Private Equity Modelling Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master cutting-edge real estate valuation techniques used by top professionals.
- Learn to build sophisticated financial models from scratch for robust investment analysis.
- Gain practical expertise with real-world case studies from the private equity sector.
Expert Delivery
- Taught by industry leaders with over 20 years of real estate PE experience.
- Receive personalized feedback to refine your modeling techniques and strategies.
- Interactive sessions ensure you apply concepts immediately and effectively.
Career Advancement
- Boost your portfolio with skills that set you apart in the real estate market.
- Direct pathways to networking opportunities with top-tier industry professionals.
- Equip yourself with the expertise to negotiate and close high-stake deals confidently.
Tools and platforms relevant to this field
Examples Sweden teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Microsoft Excel MicrosoftUsed to build acquisition models, waterfall structures, sensitivity tables, and return analyses for real estate investments.
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Microsoft Power BI MicrosoftUsed to turn portfolio and asset-level performance data into dashboards for investment committee and asset management reporting.
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Argus Enterprise Altus GroupUsed for property cash-flow modelling, lease assumptions, and valuation workflows in institutional real estate analysis.
