Subject Overview

An advanced study of real estate market research integrating property economics, research design, spatial analysis, demand–supply assessment, forecasting, feasibility, technology, ethics and strategic decision-making across major property sectors.

Learning Goal

Students will be able to design, execute, evaluate and communicate rigorous real estate market studies; convert market evidence into defensible investment, development, pricing and portfolio decisions; and responsibly apply geospatial, digital and AI-enabled methods.

Syllabus

1. Foundations of Real Estate Market Research

Learning Objective: Define markets, submarkets, property types, marketability, absorption, vacancy, rent, yield and comparable evidence; distinguish market research from valuation, appraisal, feasibility and investment analysis; and explain its role in the property life cycle.

Category: foundation

2. Real Estate Economics, Urban Theory and Market Cycles

Learning Objective: Apply demand–supply theory, bid-rent and location theory, agglomeration, land-use models, demographic and economic drivers, regulation, capital-market linkages and cycle theory to explain property-market behavior.

Category: core

3. Research Problems, Design and Methodology

Learning Objective: Translate managerial questions into research objectives, hypotheses and study boundaries; select exploratory, descriptive, causal, cross-sectional, longitudinal and mixed-method designs; and establish validity, reliability and reproducibility.

Category: core

4. Data Sources, Measurement and Governance

Learning Objective: Evaluate public records, transactions, listings, leases, planning data, censuses, surveys, brokerage reports and alternative data; construct variables and indices; address data quality, metadata, privacy, consent, ownership, bias and governance.

Category: core

5. Primary Research and Market Intelligence

Learning Objective: Design sampling plans, questionnaires, interviews, focus groups, observation and stakeholder consultations; conduct competitor and comparable-property studies; and manage fieldwork, nonresponse and measurement error.

Category: application

6. Market Definition, Segmentation and Positioning

Learning Objective: Delineate relevant markets and submarkets; segment customers and occupiers using demographic, socioeconomic, behavioral and firmographic criteria; develop personas, competitive positioning and target-market strategies.

Category: core

7. Demand Analysis and Forecasting

Learning Objective: Estimate household, occupier, investor and space demand using demographic, employment, income, migration and industry drivers; calculate penetration, capture, take-up and absorption; and produce defensible demand forecasts.

Category: core

8. Supply, Competition and Market Equilibrium

Learning Objective: Measure existing inventory, vacancy, availability, rents, concessions, construction pipelines, demolitions and obsolescence; assess competitive projects, barriers to entry, market balance and rent or price implications.

Category: core

9. Location, Site and Geospatial Analysis

Learning Objective: Assess accessibility, visibility, infrastructure, amenities, environmental constraints and planning controls; define trade and catchment areas; and use GIS, spatial statistics, network analysis, gravity models and location scoring.

Category: application

10. Quantitative Analytics, Pricing and Market Models

Learning Objective: Apply descriptive statistics, index construction, regression, hedonic pricing, time-series analysis, elasticity, benchmarking and sensitivity testing; interpret uncertainty, model assumptions, causality limitations and statistical outputs.

Category: advanced

11. Highest and Best Use, Feasibility and Development Decisions

Learning Objective: Integrate legal permissibility, physical possibility, market support and financial productivity; test alternative uses, product mix, phasing, pricing, costs, absorption, cash flows, scenarios and risk for development recommendations.

Category: application

12. Sector-Specific Market Research

Learning Objective: Adapt research methods to residential, office, retail, industrial and logistics, hospitality, mixed-use and alternative assets such as data centers, senior living, student housing and life-science real estate.

Category: application

13. PropTech, Big Data, AI and Digital Transformation

Learning Objective: Evaluate automated data collection, APIs, web-scraped and mobility data, remote sensing, digital twins, dashboards, automated valuation and machine-learning forecasts; govern explainability, bias, cybersecurity, privacy and human oversight.

Category: contemporary

14. Strategic Reporting, Ethics and Future Market Intelligence

Learning Objective: Convert evidence into executive reports, maps, dashboards and investment recommendations; communicate assumptions and limitations; manage conflicts of interest and professional standards; and apply scenario planning to climate risk, ESG, resilience, demographic change and evolving work and consumption patterns.

Category: strategic