Harness analytics to make more informed investment decisions.
6 weeks, excluding
orientation
7–10 hours per week,
entirely online
Weekly modules,
flexible learning
1
The ability to better inform your investment decisions and discover new opportunities in the real estate sector using insights taken from data analytics.
2
A data science toolkit that will enable you to tidy and join data, and perform statistical analyses and modelling using interactive software applications like R and Jupyter notebook.
3
The skills to analyze and interpret data surrounding the factors that impact real estate value such as trends, location, and amenities.
4
Key industry insights from esteemed MIT faculty and industry experts from the real estate, finance, and IT sectors.
While this course has no formal prerequisites, it’s recommended that you have a basic understanding of programming. You won't be expected to write code, but will need to understand and manipulate code written in the programming language R.
Dr Andrea Chegut
Director, MIT Real Estate Innovation Lab; Head of Research, MITdesignX; Research Scientist, MIT Center for Real Estate
Dr Andrea Chegut is the cofounder and director of the MIT Real Estate Innovation Lab, an interdisciplinary team that identifies built environment innovative products, processes and technologies, and their financial and economic impact. Chegut is also a cofounder and the head of research for MITdesignX, an entrepreneurial accelerator for new student and faculty ventures from MIT SA+P that focuses on design, cities, and the built environment. In addition to her research, Chegut teaches classes on innovation, corporate finance, and entrepreneurship at MIT. Chegut did her PhD in financial economics and has worked at the intersection of innovation, urban economics, and real estate for over a decade. Prior to her work at MIT, she had a career in securities asset pricing, and worked in Europe on developing asset pricing models for commercial real estate, green buildings, and digital infrastructure.
Over the duration of this online course, you’ll work your way through the following modules:
Module 1 Data Science and Machine Learning Principles
Understand data science and machine learning concepts used in the built environment.
Module 2 Using Real Estate Data
Learn how to prepare real-world data for analysis.
Module 3 Initial Insights Using Statistics
Understand the value of quantifying and detecting patterns in data.
Module 4 Using Data Science to Ask Questions
Discover the stories that live in real estate data that can be used to explain and predict outcomes.
Module 5 Relationships in Real Estate Data
Understand relationships between outcomes and features using regression analysis.
Module 6 Forecasting in Real Estate
Discover how to use machine learning to forecast outcomes and support decision-making in real estate.
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