Leverage quantitative analytics techniques to identify and analyze financial risks and opportunities in property investment and development.
6 weeks,
excluding orientation
7–8 hours per week,
self-paced learning online
Weekly modules,
flexible learning
1
The ability to use financial modeling and quantitative techniques to understand real estate price dynamics.
2
Knowledge of how to manage and take advantage of uncertainty by leveraging investment flexibility.
3
Insight into the statistical analysis techniques that inform real estate investment decision making, including the Monte Carlo simulation analysis, to determine risk and return.
4
The analytical skills to assess the financial viability of investments in the residential and commercial property markets.
Over the duration of this online program, you’ll work through the following modules:
MODULE 1 Real Estate Price Dynamics
Learn how real estate prices change over time and how this can be modeled.
MODULE 2 Tracking Real Estate Prices: Indexes and Performance
Discover how real estate prices can be indexed in a similar manner to stock market prices.
MODULE 3 The Forecast Is ‘Always’ Wrong
Explore the limitations of forecasts.
MODULE 4 Simulation Modeling for Real Estate Investment
Discover how to generate and analyze thousands of outcomes for real estate investment scenarios.
MODULE 5 Valuing Flexibility in Real Estate
Learn about applying simulation modeling to value flexibility under uncertainty in real estate investments.
MODULE 6 The Real Estate Financial Analytics Frontier: The Case of Index-Based Derivatives
Explore a potentially revolutionary index-based innovation that can facilitate investment flexibility to deal with and take advantage of uncertainty.
Please note that module titles and their contents are subject to change during program development.
David Geltner
FACULTY DIRECTOR
Emeritus Professor of Real Estate Finance, Department of Urban Studies and Planning, MIT SA+P; Associate Director of Research, MIT CRE
Emeritus Professor David Geltner is an expert in commercial real estate research and lead author of Commercial Real Estate: Analysis and Investments, which is recognized as the most widely cited real estate investment textbook globally. Geltner has been at MIT since 2002, where he has held the George Macomber Chair and is currently Emeritus Professor of Real Estate Finance in the Department of Urban Studies and Planning. In addition, Geltner has served as academic director of the MIT Center for Real Estate and as faculty chair of MIT’s Master of Science in the Real Estate Development (MSRED) program. He received the US Pension Real Estate Association’s prestigious Graaskamp Award in 2011 for excellence and influence in real estate investment research.
Richard de Neufville
CO-CONVENER
Professor of Engineering Systems, MIT
Professor Richard de Neufville is an engineer and systems designer who collaborates in many fields of system design and is known for innovations in engineering education. He earned a PhD from MIT in 1965 and then served as the first White House Fellow for President Lyndon Johnson. De Neufville was the founding chairman of the MIT Technology and Policy Program, and his work has been awarded and recognized around the world. As well as writing six major texts on systems analysis in engineering, he co-authored the book Flexibility in Engineering Design in 2011. He’s also worked extensively on airport systems planning, design, and management.
Alexander van de Minne
CO-CONVENER
Professor of Finance and Real Estate, University of Connecticut
Professor Alexander van de Minne has a master’s degree in engineering from the Delft Institute of Technology and a PhD in finance from the University of Amsterdam. He’s an expert in real estate economics, structural time series modeling, and Bayesian inference. As a postdoctoral fellow and research scientist at the MIT Center for Real Estate (MIT CRE), he founded the MIT CRE Price Dynamics Platform. Van de Minne’s research focuses on estimating commercial property values and has been published in multiple journals and used in the industry. In addition, his index methodology is used by Real Capital Analytics to produce over 400 commercial property price indexes globally.
This MIT SA+P online program is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from the opportunity to:
Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities and institutions, entirely online and in your own time
Enjoy a personalized, people-mediated online learning experience created to make you feel supported at every step
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones