Gain the analytical tools to utilize data for informed decision making in real estate.

Thanks to machine learning and data analytics, real estate professionals and investors are now able to make more accurate property assessments than ever before. This Data Science in Real Estate online short course from the MIT School of Architecture and Planning (MIT SA+P) focuses on growing your data science skills within the context of the built environment. During the program, esteemed MIT faculty and industry experts will teach you how to harness statistical techniques to reveal key insights into the factors that impact property investment and development opportunities.

Over the course of six weeks, you’ll learn how to evaluate and tidy data, expand data sets, and generate a selection of models that can be used to explain industry trends and forecast real estate values.

Is this course for you?

This MIT SA+P program provides participants with the data science skills to support decision making and grow a successful property portfolio. Those with experience in data analytics will benefit by learning to apply their skills to the real estate market, while real estate professionals and independent investors can increase their competitive edge by building data skills to improve analysis and valuation, helping them to make better decisions.

While there are no formal prerequisites for this course, it’s highly recommended that you have a basic understanding of programming, in particular using R. You should be familiar with different data types and basic data structures, including objects, functions, vectors, matrices, data frames, and factors; and have used them practically in the past. If you don’t yet have an understanding of these concepts, you can explore the bridging resources made available in the course brochure.

What will set you apart

On completion of this course, you’ll walk away with:
Tools to inform your real estate investments using insights from data analytics.
An understanding of the various factors that impact the value of a property investment.
The ability to perform statistical analyses and modeling using interactive software applications like R and Jupyter notebooks.
Knowledge of the fundamentals of machine learning concepts in the context of the built environment.
Unlimited access to 2U’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.