Real Estate Lab

Action Learning

Bridging real estate and data science

An increasing number of commercial real estate assets are becoming obsolete, due to shifting market conditions, evolving work patterns, and sustainability imperatives. JLL, a global leader in real estate services and solutions, needed a framework that would help predict this obsolescence, assess investment risk, and evaluate strategies for repositioning assets to maximize their long-term value. Working with a team of MIT Real Estate Lab (RE-Lab) students, they developed a predictive model to do the job.

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15.S67 SSIM & 11.S970 Real Estate Lab

The MIT Sloan – MIT Center for Real Estate (CRE) Real Estate Lab (RE-Lab) is an immersive and hands-on course designed to provide students with a comprehensive understanding of the real estate industry. Through a combination of lectures, case studies, site visits, and field-based projects, students will gain practical insights into real estate development, investment, financing, and management. RE-Lab will cover key topics such as market analysis, property valuation, urban planning, sustainable development, and emerging trends in the real estate market.

Course objectives

  1. To develop a deep understanding of the real estate industry, including its various sectors and stakeholders.
  2. To equip students with analytical tools and frameworks for evaluating real estate investment opportunities.
  3. To explore the impact of economic, social, and environmental factors on real estate markets.
  4. To provide practical experience through site visits, guest lectures, and hands-on projects.
  5. To foster critical thinking and problem-solving skills in the context of real estate decision-making.