Thanks to machine learning and data analytics, real estate professionals and investors are now able to make more accurate property assessments than ever before.
The Data Science in Real Estate online short course from the MIT School of Architecture and Planning (MIT SA+P) gives you the knowledge to analyze data patterns and identify valuable property investment or development opportunities.
The program focuses on growing your data science skills as you learn to harness statistical techniques to reveal key insights into the different factors impacting property worth.
You’ll be exposed to the concept of tidying data, as well as how to expand data sets, evaluate data, and generate a selection of models that can be used to explain industry experiences and forecast real estate values.
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 supplement your knowledge with the bridging resources made available in the course brochure.Download course prospectus
What will set you apart
Earn a certificate from MIT SA+P in this online program and learn to:
Inform your real estate investment decisions using insights taken from data analytics
Consider factors such as trends, risk, and amenities when predicting the value of an investment
Perform statistical analyses and modeling using interactive software applications like R and Jupyter notebooks
Understand the fundamentals of machine learning concepts in the context of the built environment
Learn to harness data analytics to gain valuable real estate insights as you follow your learning path through the weekly modules of this online program:
- Orientation Module Welcome to your Online Campus
- Module 1 Data Science and Machine Learning Principles
- Module 2 Using Real Estate Data
- Module 3 Initial Insights Using Statistics
- Module 4 Using Data Science to Ask Questions
- Module 5 Relationships in Real Estate Data
- Module 6 Forecasting in Real Estate
Make real estate investment decisions driven by data
This MIT SA+P online short course is delivered in collaboration with GetSmarter. Learn from industry thought leaders as you expand your data science skill set.
Your Course Convener
The design of this online course is guided by MIT SA+P faculty and industry experts who will share their experience and in-depth subject knowledge with you throughout the program.
Dr Andrea Chegut
Director, MIT Real Estate Innovation Lab, Head of Research, MITdesignX and Research Scientist, MIT Center for Real Estate
Anne Kinsella Thompson
Visiting Lecturer and Real Estate Economist, MIT Center for Real Estate
Head of Industry Relations CRE Tech Lead, Real Estate Innovation Lab
Prof Dennis Frenchman
Class of 1922 Professor of Urban Design and Planning, Director, MIT Center for Real Estate
Prof Jacob Sagi
Wood Center in Real Estate Studies Distinguished Scholar, Kenan-Flagler Business School University of North Carolina at Chapel Hill
Prof Christoph Reinhart
Professor of Architecture, Director of Building Technology Program, MIT School of Architecture and Planning Founder and Director, Sustainable Design Lab
VP of Data Science, CompStak
Founder and President, Real Capital Analytics
President and CEO, StateBook International
Chief Research Officer, Americas, JLL
CEO, Live XYZ
Prof David Geltner
Professor of Real Estate Finance, MIT Faculty Director of Commercial Real Estate Analysis and Investment online program
Earn a certificate from MIT SA+P
Get recognized for your knowledge when you earn an official certificate from MIT SA+P — and use it to set yourself apart as a data-driven real estate professional or investor.
Your certificate will be issued in your legal name and sent to you upon successful completion of the program, as per the stipulated requirements.REGISTER NOW
Get More Information
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Still have a question? These may help
WILL I HAVE THE TIME?
GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.
At the beginning of each week you'll be presented with all the lectures, notes and assignments necessary for completion. You also have access to your Success Advisor who will help you set goals and track key milestones, manage your time, and field any administrative requests you might have.
CAN MY EMPLOYER ASSIST WITH PAYMENT?
By improving your skills and industry knowledge, you'll be having an influence on the success of your organisation.
Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?
37% of our past students receive financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to receive financial assistance from your employer.
WHAT IS THE ONLINE CAMPUS?
The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats, including: interactive video lectures, module notes, practice quizzes, Prezis, assignment briefs, and additional web resources.
On the Online Campus, you'll also be able to ask questions and interact with your fellow students and Head Tutor through the Online Campus discussion forums. If you're experiencing tech issues or need advice from your personal Success Advisor, you can use the Online Campus to get in touch.