Multi-Asset Real Estate Modelling School

This intensive five-day school equips participants with the financial modelling and investment analysis skills required to assess traditional and operational real estate assets. It begins with core valuation and discounted cash flow modelling, then applies those techniques to Purpose-Built Student Accommodation (PBSA), Hotels and Data Centres.

Short asset-class introductions at the start of each specialist day establish the relevant commercial and operational context before participants begin the modelling exercises. The programme is practical, Excel-based and structured around exercises, case studies and investment recommendations.

Progress is assessed through practical model builds, sensitivity and scenario exercises, case study outputs and concise investment recommendations. By the end of the programme, participants should be able to build and analyse robust investment models across multiple real estate sectors, identify key risks and value drivers, and support investment decisions with clear financial evidence.

Learning Outcomes

  • Build and audit real estate cash flow models using recognised Excel modelling practices.
  • Value and appraise property investments using DCF, NPV, IRR and equity return measures.
  • Analyse the effect of leasing structures, operating assumptions, debt and market inputs on investment performance.
  • Use sensitivity and scenario analysis to evaluate risk and identify the principal value drivers.
  • Adapt core modelling techniques to the sector-specific cash flows of PBSA and Hotels.
  • Explain the investment characteristics, operational drivers and principal risks of Data Centres.
  • Formulate and present evidence-based investment recommendations.

Who will benefit from this Bootcamp

  • Real Estate and Investment Analysts
  • Acquisitions and Asset Management professionals
  • Surveyors, Valuers and Investment Managers
  • Fund management professionals
  • Real estate graduates and APC candidates

Course Outline

Build the core investment modelling toolkit

Building the Property Cash Flow

  • Property cash flow structure
  • Cash flow inputs: rents, yields, growth rates and target returns
  • Dates and date series
  • Term & Reversion,  Layer Method valuation

Valuation & Investment Returns

  • Single-Let DCF
  • Equivalent Yield, Required return and discount rates
  • IRR and NPV
  • Value, Price & Worth
  • Goal Seek, Solver and Scenario analysis

Making the Model Dynamic

  • Rent Function concept
  • Rent reviews and other events
  • IF, OR and AND logic
  • Modelling changing rents and assumptions

Debt & Investment Returns

  • Adding borrowing
  • Geared and un-geared cash flows
  • Analysing the impact of leverage
  • Sensitivity analysis

Apply the core modelling principles to a multi-let office investment

From Single-Let to Multi-Let

  • The Rent Function and multi-let cash flows
  • Structuring a multi-let office model
  • The “Date Problem” & assumptions in property asset cash flows
  • Intermediate calculations and modelling structure

 Modelling the Office Income

  • Multiple tenants and leases
  • Lease expiries, Break clauses & Rent reviews.
  • Upward-only covenants, Voids and vacancy periods
  • Time-varying rental growth

 Building a Dynamic Office Model

  • Reducing and refining the Rent Function
  • Modelling lease events using logic
  • Building transparent and auditable calculations
  • Linking assumptions to the cash flow

Analysing the Office Investment

  • Lease expiry profile
  • Income concentration and diversification
  • Rental growth assumptions
  • Vacancy and re-letting assumptions
  • Impact of lease events on value and returns

Office Investment Case Study

  • Build the multi-let office cash flow
  • Calculate value and investment returns
  • Analyse geared and un-geared IRRs
  • XIRR and MIRR
  • Sensitivity analysis
  • Interpret the investment outputs

Introduction to PBSA

  • PBSA market overview and investment context
  • Student housing demand drivers and university market analysis
  • Institutional investment trends
  • How PBSA differs from traditional commercial real estate

PBSA operating fundamentals

  • Beds versus units
  • Occupancy, booking and pre-leasing cycles
  • Rental structures and ancillary income
  • Operating expenses, management considerations and key KPIs

PBSA financial modelling

  • Building a PBSA income forecast
  • Occupancy ramp-up, rental growth and booking scenarios
  • Operating cost modelling
  • Stabilised versus development return considerations
  • PBSA valuation approaches

Case study workshop

  • Evaluate a PBSA acquisition opportunity
  • Test occupancy and rental assumptions
  • Identify key risks and value drivers
  • Formulate an investment recommendation

Introduction to Hotels as an asset class

  • Hotel market overview and segmentation
  • Ownership, operating and investment structures
  • The relationship between property value and operating performance

Hotel performance metrics

  • Occupancy and Average Daily Rate (ADR)
  • Revenue Per Available Room (RevPAR)
  • Gross Operating Profit (GOP)
  • Fixed and variable operating costs

Hotel financial modelling

  • Revenue forecasting
  • Operating profit analysis
  • Management agreements and franchise structures
  • Hotel valuation approaches

Case study workshop

  • Evaluate a hotel acquisition opportunity
  • Model downside and recovery scenarios
  • Analyse key operational sensitivities
  • Present an investment recommendation

Introduction to Data Centres

  • Digital infrastructure and the Data Centre market
  • Demand drivers including cloud computing and AI
  • Data Centres as an investment asset class
  • Development versus stabilised investment strategies

Data Centre fundamentals

  • Principal types of Data Centre
  • Power, connectivity, capacity and resilience considerations
  • Customer requirements and leasing structures
  • Operational performance measures

Investment analysis and modelling

  • Revenue models and contracted cash flows
  • Capacity utilisation and ramp-up assumptions
  • Operating and development risks
  • Building a simplified Data Centre cash flow
  • Sensitivity analysis and valuation approaches

Capstone case study

  • Analyse a hypothetical Data Centre investment
  • Test power, capacity and utilisation assumptions
  • Compare risk and returns with other sectors
  • Present an investment recommendation

Course Details

Number of days: Five days
Course type: Schools
Course level:
Pre-requisite: None
CPD Hours: 15
Upcoming Dates:

  • 1st – 5th March 2026

Course Schedule – Public Course Dates


Price Per Person

In-Person

£3250+ Vat
  • Course Delivery
  • Course Manual
  • Course Files
  • CPD Accredited Certificate
  • Online Learning Resources
  • Financial Modelling Proficiency Badge

How to Book


Any Questions?

For Course Bookings contact:

Jacob Noble
[email protected]

For Course Delivery & Administration:

Emma Wilson
[email protected]

Want to know more?