Course Guide

How to build a real estate finance course: a complete guide for lecturers

A practical, ready-to-adapt guide for designing or refreshing a Real Estate Finance course. It brings together course positioning, constructively aligned intended learning outcomes, twelve core concepts with teaching notes, a 12-session syllabus, applied simulations, recent readings, case studies and assessment guidance.

Real Estate Finance course overview

72%

teach Real Estate Finance as a named or closely related course

12

sessions as the most common course-design model

46%

taught at undergraduate level

87%

taught at postgraduate level (levels overlap)

11%

offered as core; the rest elective

76%

include an applied or experiential component

Why this course matters

Finance
Economics
Development
Accounting
Law & Tax
Real Estate Finance property investment decisions
  • Finance
  • Economics
  • Development
  • Accounting
  • Law & Tax

Real Estate Finance sits at the intersection of financial analysis, property markets, contracts, financing and asset management, which makes it a natural integrative finance elective.

Career path fit

Real estateinvestmentReal estatelendingDevelopmentAsset managementValuation /advisoryCorporate finance
  • Real estate investment: 10 out of 10
  • Real estate lending: 9 out of 10
  • Development: 9 out of 10
  • Asset management: 9 out of 10
  • Valuation / advisory: 8 out of 10
  • Corporate finance: 7 out of 10

How well this course prepares students for six role families, scored out of 10. Indicative, based on how directly the concepts map to each path - not a placement statistic.

Typical course structure

  • Markets and property foundations 10%
  • Cash flow and valuation 20%
  • Debt and mortgage finance 20%
  • Investment analysis and leverage 20%
  • Development and structuring 15%
  • Risk, capital markets and exits 15%

Who this guide is for

This guide is built for lecturers, professors, module leaders, unit convenors, instructors of record, course coordinators and programme directors designing or refreshing Real Estate Finance, Real Estate Investment, Property Finance or closely related electives.

It is written to travel across systems. You can adapt it to a course, module or unit; map it to local credit value and contact hours; translate the ten intended learning outcomes into your programme language; and use the applied outputs as assurance-of-learning evidence where your school requires it. The core design suits final-year undergraduate, specialist MSc, MBA and executive education cohorts.

What does a Real Estate Finance course cover?

A Real Estate Finance course teaches students how property markets, lease cash flows, valuation and financing interact. The most coherent lifecycle begins with property types and market fundamentals, then moves through rent rolls, NOI, time value of money, cap rates and DCF, mortgage underwriting, leverage and capital structure, acquisition appraisal, development finance, joint ventures and pooled vehicles before closing with risk, asset management, portfolio performance and exit decisions.

The course is applied because every model depends on judgement about local evidence, lease durability, operating costs, financing conditions and terminal value. Students should leave able to distinguish asset value from equity value, NOI from accounting earnings, cap rates from discount rates, and a high levered IRR from a robust investment. The final standard is whether they can recommend, finance, defend and, where necessary, reject a property decision under incomplete information.

The course at a glance

A one-screen planning view for a course approval form, syllabus discussion or module refresh.

Planning area

Suggested approach

Best fit

Final-year or senior undergraduates, specialist MSc/MS Real Estate or Finance cohorts, MBA and EMBA electives, and executive education.

Typical length

10, 12 or 14 teaching sessions, with 12 as the standard model. Roughly 24-36 contact hours plus independent study to reach about 150-180 notional learning hours, subject to local credit rules.

Course role

A specialist finance or real estate elective, or a required analytical core within a real estate programme. It can also provide assurance-of-learning evidence for applied financial judgement.

Useful prerequisites

Introductory finance, accounting and spreadsheet skills. Prior corporate finance or investments is useful for advanced cohorts, but the course can scaffold time value of money and valuation early.

Main student output

A property acquisition or financing recommendation supported by a pro forma, valuation range, debt structure, downside case and investment committee defence.

Best assessment fit

One group applied output carrying most of the summative weight plus an individual assumptions note, reflection or oral defence that produces attributable evidence. Most courses use two assessment points rather than every format in the menu.

Best simulation fit

Capital Budgeting after NPV/IRR and acquisition appraisal; Debt Financing after debt capacity and capital structure; LBO and Financial Statement Analysis as clearly framed extensions.

Learning outcomes

These intended learning outcomes use assessable verbs and support constructive alignment between teaching activity, student output and marking evidence. Bloom's taxonomy is useful once here: early outcomes establish analysis tools, while later outcomes require evaluation, synthesis and defence. Each outcome is written so a course team can identify evidence for course review rather than rely on vague verbs such as "understand".

  1. Explain the institutional features that differentiate real estate from other financial assets and connect property markets to investment decisions.
  2. Construct and interpret property cash flows from leases, occupancy, operating expenses, capital expenditure and tenant incentives.
  3. Apply time value of money, direct capitalisation, DCF and comparable evidence to develop and defend a property valuation range.
  4. Analyse mortgage structures and size debt using LTV, DSCR, debt yield, amortisation and refinance constraints.
  5. Evaluate how leverage, capital-stack design, covenants and lender protections change equity return and downside risk.
  6. Assess acquisition opportunities using NPV, IRR, equity multiple, capital rationing and investment committee criteria.
  7. Evaluate development feasibility using sources and uses, construction finance, timing, lease-up, stabilisation and cost-risk analysis.
  8. Analyse joint-venture economics, preferred returns, promote structures, governance rights and partner incentives.
  9. Compare direct property investment with REITs, private funds and other real estate capital-market vehicles using appropriate financial measures.
  10. Defend an integrated hold, sell, refinance or reject decision using scenario analysis, asset-management evidence, risk recognition and a clear statement of what remains uncertain.

Core concepts

The concepts and sequence in this guide reflect patterns commonly seen in Ivy League and leading global business-school courses on Real Estate Finance and closely related modules such as Real Estate Investment, Property Finance, Real Estate Capital Markets and Development Finance. This is a course-design pattern, not a claim that every leading school teaches the subject in the same way.

There are twelve core concepts. The sequence moves from market and property foundations into cash flow and valuation, then financing and investment decisions, before extending into development, partnerships, capital markets, risk, ownership and exit.

  1. Real estate markets, property types and investment strategies
  2. Property cash flows, leases and net operating income
  3. Time value of money and real estate discount rates
  4. Property valuation: cap rates, DCF and exit value
  5. Mortgage mechanics and debt underwriting
  6. Leverage, capital structure and lender protections
  7. Acquisition underwriting and capital budgeting
  8. Development finance and construction risk
  9. Joint ventures, waterfalls and partnership structures
  10. REITs, private funds and real estate capital markets
  11. Risk analysis, sensitivity, climate and scenario testing
  12. Asset management, portfolio performance and exit decisions

Concept Details

Each accordion turns one core concept into a lecturer-ready teaching unit with a central question, coverage, outcomes, seminar activity, runnable case-style example and an accurate simulation note where one genuinely fits.

Connecting the concepts

This is the alignment map. Students move from market evidence to property cash flow, value and financing, then to an investment decision, ownership and exit. Requiring a tangible output at each stage produces formative evidence and makes the final summative task an assembly of prior work rather than a new cliff-edge assignment.

Stage of real estate work

Principal concepts

Expected student output

Assessment evidence

Frame the property and market

Markets, property types and strategy (1)

Market map and investment strategy statement

Formative evidence of market reasoning.

Build property cash flow

Leases, NOI and TVM (2-3)

Normalised pro forma and assumptions sheet

Calculation accuracy plus explanation of exclusions.

Value the asset

Cap rates, DCF and comparables (4)

Valuation range and sensitivity

Evidence selection, terminal assumptions and reconciliation.

Finance the investment

Mortgage underwriting and capital structure (5-6)

Loan sizing and financing recommendation

Debt capacity, covenant reasoning and downside resilience.

Make the acquisition decision

Capital budgeting and IC logic (7)

Acquisition memo and bid ceiling

Summative group output can begin here.

Structure growth capital

Development and joint ventures (8-9)

Development feasibility and waterfall

Timing, control and partner incentive evidence.

Connect to capital markets

REITs and funds (10)

Vehicle analysis or NAV note

Bridge between property and corporate evidence.

Stress, manage and exit

Risk, asset management and exit (11-12)

Downside case, hold-sell-refinance recommendation

Individual defence or reflection for attributable evidence.

Models support property judgement. They do not make the investment decision.

Adapting for undergraduate and postgraduate students

The architecture holds across levels; what changes is the scaffolding and tolerance for ambiguity. Do not remove debt covenants or waterfall logic just because a cohort is undergraduate. Instead, give cleaner inputs, stronger templates and shorter decisions. MSc, MBA and executive cohorts can handle the same concepts with incomplete briefs, current market evidence and stronger oral defence.

For a 12-session version, 24-36 contact hours is a practical range. The surrounding independent work should be set by your local credit and notional-learning-hours rules, not by a universal formula.

Course design area

Undergraduate version

Postgraduate / MBA / executive version

Course emphasis

Build the lifecycle clearly: market, cash flow, valuation, debt, acquisition, development, risk and exit.

Move faster into incomplete evidence, structuring, negotiation, portfolio context and decision defence.

Scaffolding

Provide rent rolls, formulas, model templates and explicit assumptions.

Provide incomplete data, fewer formula prompts and more responsibility for selecting evidence.

Valuation depth

Direct cap and simplified DCF with clear terminal assumptions.

Full lease cash flows, scenario ranges, implied pricing and more rigorous reconciliation.

Debt depth

Amortisation, LTV, DSCR, debt yield and basic covenants.

Floating-rate debt, refinance risk, mezzanine/preferred equity and tighter covenant analysis.

Development

Simplified sources and uses, LTC, cost overrun and stabilised value.

Draw schedules, interest reserve, lease-up, take-out finance and partner economics.

Student activity

Guided underwriting, short memos and structured cases.

Open-ended IC memos, negotiation, model defence and live challenge.

Assessment

Credit correct application, clear reasoning and well-supported recommendation.

Credit judgement quality, assumption defence, trade-off analysis and response to challenge.

Simulation use

Use simulations as guided applied exercises with a structured debrief.

Use simulations as decision pressure, optional assessment evidence and capstone integration.

The 12-session syllabus

The syllabus follows the full real estate investment lifecycle. Students begin with markets and property cash flow, then value and finance the asset, make acquisition and development decisions, structure ownership, connect to capital markets, stress risk and finish with asset management and exit.

The design principle worth keeping if you change nothing else: do not defer application to the end. Every session should leave behind a map, model, memo, term sheet, stress test or recommendation that can be used as formative evidence or assembled into the capstone.

Real Estate Finance Course Guide

Indicative 12-session Real Estate Finance course arc. Use alongside the detailed syllabus table below.

Session

Topic

Teaching focus

Student activity

Best-fitting simulation, where relevant

Assessment or output

1

Real estate markets, property types and strategy

Space markets, capital markets, property types, investment styles, stakeholders and evidence.

Map a local market and classify three opportunities by property type and strategy.

Two-page market and investment-strategy brief.

2

Leases, property cash flows and NOI

Rent rolls, lease terms, vacancy, operating costs, capex, tenant incentives and normalised NOI.

Build a simplified pro forma and lease-expiry profile from a rent roll.

Optional: Financial Statement Analysis

Normalised NOI schedule with assumptions note.

3

Time value of money and property valuation

TVM, discount rates, cap rates, DCF, comparable evidence, terminal value and valuation ranges.

Value one property by direct capitalisation and DCF, then reconcile the range.

Valuation range with cap-rate and exit-value sensitivity.

4

Mortgage mechanics and debt underwriting

Amortisation, LTV, DSCR, debt yield, fixed/floating rates, maturity and refinance risk.

Size a mortgage under three constraints and explain the binding test.

Lender underwriting note and debt sizing schedule.

5

Leverage, capital structure and financing terms

Levered returns, positive and negative leverage, capital stack, covenants and lender protections.

Compare two leverage structures and negotiate borrower/lender priorities.

Debt Financing

Financing recommendation plus term-sheet critique.

6

Acquisition underwriting and capital budgeting

NPV, IRR, equity multiple, bid price, capital rationing and investment committee logic.

Underwrite competing acquisitions under a fixed equity budget.

Capital Budgeting

Investment committee memo with portfolio allocation.

7

Development finance and construction risk

Development budgets, sources and uses, construction draws, interest reserve, LTC, lease-up and stabilised value.

Build a simplified development feasibility model and stress delay and cost.

Development feasibility note and downside case.

8

Joint ventures and waterfall economics

Capital contributions, preferred returns, promotes, decision rights, fees and capital calls.

Calculate a two-tier waterfall and negotiate a sale-versus-hold conflict.

JV economics schedule and governance memo.

9

REITs, private funds and capital markets

NAV, FFO/AFFO, fund structures, vehicle leverage, CMBS and direct versus indirect exposure.

Reconcile property value, debt and share price for a simplified REIT.

Financial Statement Analysis

REIT or fund analysis note.

10

Risk, sensitivity and climate-adjusted underwriting

Scenario design, break-even analysis, insurance, obsolescence, refinancing and physical risk.

Build one coherent downside scenario and identify the equity breakpoints.

Stress-test dashboard and risk mitigation recommendation.

11

Asset management, portfolio performance and exit

Business-plan execution, reforecasting, hold-sell-refinance analysis, portfolio fit and exit timing.

Update an earlier acquisition using two years of actual results and a current offer.

Optional extension: LBO

Hold, sell or refinance recommendation.

12

Integrated real estate finance capstone

Bring market, cash flow, valuation, debt, risk, governance and exit together in one decision.

Teams defend a full acquisition or financing recommendation before an investment committee.

Group IC presentation plus individual written defence.

Simulations: What they are and why they belong in this course

Real Estate Finance is a decision-led subject. Students can learn NPV, cap rates, loan ratios and waterfall formulas from lectures, but the discipline becomes real when they must allocate capital, negotiate financing, explain a trade-off and defend what happens when assumptions move.

Simulations belong after the relevant theory, not as entertainment at the end. The strongest placements on this page use Capital Budgeting after acquisition appraisal and Debt Financing after mortgage underwriting and capital structure. LBO and Financial Statement Analysis are secondary extensions where the transfer to real estate is made explicit.

There is also an accreditation and assurance-of-learning argument. Experiential work can generate observable decisions, comparative outputs and debrief evidence that help a lecturer demonstrate application and evaluation rather than recall.

If you need the accreditation language itself, what AACSB and AMBA say about simulations sets it out.

Traditional case study vs simulation

Teaching format

What it does well

Limitation

Best use in this course

Traditional case study

Provides a rich property or financing decision with exhibits and room for discussion.

Students can discuss the answer without experiencing the consequence of making or negotiating it.

Best for leases, valuation, development, JV structures, climate risk and real transaction analysis.

Simulation

Places students in a timed or role-based process with calculations, choices, trade-offs and comparative outcomes.

Needs preparation and debriefing; transfer must be explicit when the case asset is not real estate.

Best after acquisition appraisal, debt capacity, capital structure and selected financial-analysis teaching.

Where simulations fit

Capital Budgeting and Debt Financing are the two strongest direct teaching fits. LBO and Financial Statement Analysis are useful secondary extensions when the transfer to real estate is made explicit.

Course point

Simulation

How to use it

Why it fits

Session 5: mortgage underwriting and capital structure

Debt Financing

Use after students can size debt and interpret borrower-lender trade-offs.

Students negotiate amount, pricing, maturity, repayment, seniority, security, guarantees and covenants as one package.

Session 6: acquisition appraisal and capital rationing

Capital Budgeting

Use after students know NPV and IRR, before the main property IC memo.

Students compare project measures, choose one project and allocate a fixed budget across competing opportunities.

Session 5 or 11: leveraged return extension

LBO

Use selectively as an extension, not as a property case.

Shows how purchase price, debt capacity, lender terms and exit value interact in a competitive leveraged acquisition.

Session 2 or 9: company and REIT analysis extension

Financial Statement Analysis

Use when you want students to move from property NOI to company or vehicle-level financial evidence.

Students connect three statements, ratios and evolving information before forming a supported judgement.

AI impact on Real Estate Finance teaching

AI can accelerate the first draft of market summaries, lease abstracts, spreadsheet formulas, valuation commentary, debt checklists and investment memos. That makes polished output easier to produce and therefore less useful as a standalone assessment signal.

The teaching response is to shift credit toward assumptions, evidence, missing information and defence. Students should be able to show where every material rent, vacancy, cost, cap rate, interest rate and exit assumption came from; explain what the model omits; and revise the decision when new evidence arrives.

Permitted-use policy: allow AI for structuring, drafting and checking where local academic-integrity rules permit it; require declaration; prohibit fabricated evidence; and retain the right to ask students to defend any material assumption or conclusion orally. The analytical choices remain the student’s responsibility.

How AI is changing the subject

In Real Estate Finance, AI is most useful where the task is repetitive extraction or first-pass synthesis. It is least reliable where the decision depends on local market evidence, lease nuance, asset condition, lender negotiation or terminal-value judgement.

Implications for teaching and assessment

Teaching area

AI implication

Lecturer response

Market and property research

AI can summarise market reports quickly but may blur date, geography or property type.

Require dated source links, evidence quality and a statement of what still needs local verification.

Lease and NOI modelling

AI can draft formulas but may misclassify capex, incentives or recoveries.

Mark the cash-flow classification and ask students to reconcile model lines to the source lease evidence.

Valuation

AI can suggest cap rates or discount rates without defensible comparables.

Require explicit comparable evidence, sensitivity and oral defence of terminal assumptions.

Debt underwriting

AI can explain LTV or DSCR but cannot choose lender protections for the actual risk.

Credit the complete financing package, downside resilience and borrower-lender trade-offs.

Development

AI can produce a neat feasibility narrative while missing draw timing or interest reserve.

Require model-linked assumptions, timing checks and a cost/delay downside.

Investment memo

AI can produce polished prose, reducing the signal from writing quality alone.

Shift credit toward evidence selection, model consistency, missing information, live challenge and individual defence.

Recommended Readings

Core textbook: William B. Brueggeman and Jeffrey Fisher, Real Estate Finance and Investments, 2024 Release, McGraw Hill. It is the strongest single-text fit for a broad course because it covers mortgage finance, income-property valuation, leverage, risk, development, joint ventures, REITs and real estate funds.

Alternative textbook: David M. Geltner, Norman G. Miller, Alex Van De Minne, Piet Eichholtz, Thies Lindenthal and Lily Shen, Commercial Real Estate Analysis for Investment, Finance, and Development, 4th edition, Routledge, 2026. This is especially useful for advanced commercial real estate analysis and for connecting finance theory with property practice.

Foundational readings worth assigning directly

Real case studies to use

The twelve fictional mini-cases in the Concept Details are licence-free seminar exercises with complete figures. For a longer assessed case, the following two verified published cases provide complementary acquisition, valuation and real estate debt-financing decisions.

Verified case

Brooklyn Lodgers: 78 South Third St., Brooklyn, NY

Charles F. Wu, Jackie Bereiter & Signe Conway, Harvard Business School / Harvard Business Publishing, 2018.

Why it fits: A tangible acquisition case built around a residential income property and mortgage financing. Use it for cash-flow modelling, valuation, leverage and the buy-versus-walk-away decision.

Best placement: Sessions 3-6

Assessment fit: Acquisition underwriting memo or individual valuation defence.

View case study

Verified case

The Trouble with Lenders: Subtleties in the Debt Financing of Commercial Real Estate

Craig Furfine, Kellogg School of Management / Harvard Business Publishing, 2016.

Why it fits: A commercial real estate debt case comparing financing choices across three retail properties. It works especially well for refinancing, maturity, lender trade-offs and portfolio-level financing strategy.

Best placement: Sessions 4-5

Assessment fit: Debt term-sheet recommendation, lender memo or financing committee debate.

View case study

Sample session plan: acquisition underwriting and capital budgeting

For a two-hour class, run the property mini-case and a shortened simulation sequence, then move the IC defence to the next seminar. For two separate one-hour sessions, use the first for underwriting and the second for simulation transfer plus committee challenge.

Session stage

Time

Teaching purpose

Lecturer approach

Student output

Pre-class preparation

Before class

Give students the technical foundation before class is used for judgement.

Assign a short acquisition case, valuation note and debt-sizing refresher.

One-page pre-class note identifying three value drivers and three financing risks.

Opening frame

10 minutes

Set the central question: buy, renegotiate or walk away?

Introduce the property, fund mandate, asking price and investment committee context.

Students can state the decision and the missing evidence.

Mini-lecture

20 minutes

Connect property value to capital allocation.

Review NPV, IRR, equity multiple, bid ceiling, capital rationing and the difference between stand-alone ranking and portfolio choice.

Students can explain why IRR alone is insufficient.

Deal-team underwriting

35 minutes

Move from mechanics to assumptions.

Teams test NOI, cap rate, debt and exit assumptions and identify the two variables most likely to reverse the case.

Draft underwriting with base and downside case.

Capital Budgeting Simulation

60-90 minutes

Apply investment criteria and limited-capital allocation under pressure.

Run the Capital Budgeting Simulation, then ask students to translate the capital-rationing logic back to property acquisitions.

Individual simulation result and two transfer observations.

Investment committee preparation

20 minutes

Force prioritisation.

Each team produces an invest, renegotiate or reject recommendation with a bid ceiling.

One-page IC memo or three-slide recommendation.

Committee challenge

20 minutes

Test whether the recommendation survives challenge.

Question the team on rent evidence, terminal value, financing headroom and rejected alternatives.

Oral defence and revisions.

Debrief

15 minutes

Connect the activity to course outcomes.

Ask what changed the decision, where the model was most fragile and how scarce capital changed the ranking.

Individual 200-word reflection or assumptions note.

Closing question: If the acquisition clears the IRR hurdle, what still has to be true about the property, the financing and the alternative uses of capital for the investment to be worth making?

Assessment options for a Real Estate Finance course

Because the intended learning outcomes reward judgement rather than recall, assessment should ask students to recommend and defend. A common defensible pattern is 60% group applied output and 40% individual assumptions defence, reflection or viva, subject to local regulations. The group task preserves realistic collaborative underwriting; the individual component produces attributable evidence.

Publish grading criteria that credit assumptions, evidence, downside and alternatives, not only spreadsheet cleanliness. Moderate borderline group marks with the individual evidence, and make the anti-free-riding mechanism visible before students begin.

The eight formats below are a menu. Most courses need two assessment points, not eight.

Assessment format

How it works

Acquisition investment committee memo

Students recommend buy, renegotiate or reject using cash flow, valuation, financing, downside and market evidence.

Property underwriting model and assumptions note

Students submit a transparent model plus a short explanation of sources, judgement and fragile assumptions.

Debt term-sheet recommendation

Students size debt and propose or critique pricing, maturity, amortisation, security and covenants.

Development feasibility study

Students connect development budget, construction finance, lease-up, stabilised value and downside risk.

JV waterfall and governance memo

Students calculate distributions and explain partner incentives and major-decision rights.

REIT or fund analysis

Students reconcile asset value, vehicle debt, NAV and market price, then recommend direct or indirect exposure.

Simulation reflection

A concise individual note connecting specific decisions to course concepts and evidence. Keep it decision-specific rather than a generic description of the experience.

Viva-style defence

A 10-15 minute individual challenge on assumptions, model limits and the student’s contribution to group work.

Common mistakes when teaching Real Estate Finance

The strongest courses do not only teach students to calculate property returns. They repeatedly ask students to connect market evidence, lease cash flow, valuation, financing and risk to a decision that survives challenge.

Common mistake

Why it weakens the course

Better approach

Turning the course into generic corporate finance

Students miss leases, NOI, property heterogeneity and local market evidence.

Keep the finance tools, but require every major assumption to connect back to the asset and its market.

Teaching cap rates as fixed market facts

Students use a single yield without asking what property, income or risk it prices.

Require comparable evidence, stabilised NOI and a cap-rate range.

Capitalising the wrong NOI

Temporary rent, concessions or omitted costs can make valuation mechanically wrong.

Reconcile rent roll to normalised forward NOI before valuation.

Using IRR as the decision

Leverage and timing can make IRR look strong while NPV, resilience or capital efficiency is weak.

Use NPV, IRR, equity multiple and downside together, then require a recommendation.

Sizing debt from LTV only

Students miss cash-flow and refinance constraints.

Use LTV, DSCR and debt yield, then identify the binding constraint.

Ignoring the capital stack

Students treat all non-common capital as equivalent.

Map payment priority, control rights, maturity and downside for every layer.

Under-modelling development timing

A day-one model hides draw schedules, capitalised interest and delay.

Use monthly or quarterly sources-and-uses logic and stress time as well as cost.

Treating sensitivity as decoration

Students produce tables without deciding what the downside means.

Require a coherent scenario, break-even variable and decision consequence.

Ignoring post-acquisition management

Students think the investment ends when the deal closes.

Reforecast the original case, monitor KPIs and finish with a hold-sell-refinance decision.

Having no AI and evidence policy

Students can submit polished analysis with weak or fabricated inputs.

Require source transparency, declared AI use and oral defence of material assumptions.

Frequently asked questions

Subject questions come first, followed by operational, assessment and copy-paste utility questions for lecturers building or approving a module.

Related course guides and teaching resources

Corporate Finance Course Guide

For capital budgeting, valuation, capital structure and firm-level financial decisions.

View course guide

Investment Banking Course Guide

For transaction analysis, valuation, financing and deal execution.

View course guide

Financial Modelling Course Guide

For cash flow modelling, valuation, scenario analysis and financing assumptions.

View course guide

Risk Management Course Guide

For downside analysis, leverage risk, credit exposure and risk-adjusted decision-making.

View course guide

Capital Budgeting Simulation

Use after NPV and IRR teaching to make project selection and capital rationing applied.

View simulation

Debt Financing Simulation

Use after debt capacity and capital structure to practise borrower-lender negotiation.

View simulation

Next steps for your module

Use these options to explore the teaching materials, speak with the team, or see how the simulations would fit into your course.

Start

Getting started with your first simulation

A practical introduction for lecturers running a simulation for the first time.

Learn more

Operate

How to operate the simulator

See the lecturer workflow for setup, delivery, dashboards, debriefs and student support.

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Request more information

Book a Demo

During the call, we can:

  • Show the student and lecturer experience
  • Discuss format, timing and syllabus fit
  • Walk through setup, live delivery and grading-ready data
  • Answer questions from your module team