MIT School of Architecture and Planning
Data Science in Real Estate
Acquire the analytical skills to leverage data for evidence-based decision making in the real estate industry.
Start date
09 April 2025
Course duration
6 weeks
Excluding orientation
Language
English
Access resources from start date
Effort
7–10 hours per week
Self-paced learning online
Course overview
Duration: 6 weeks (excluding orientation)
Machine learning and data analytics have revolutionized how real estate professionals and investors conduct property assessments. The MIT School of Architecture and Planning (MIT SA+P) Data Science in Real Estate online short course focuses on applying data science skills in the built environment. Esteemed MIT faculty and industry experts guide participants through the statistical techniques that can help you uncover crucial insights about factors affecting property investment and development opportunities.
Over six weeks, this course will equip you with the skills and knowledge to evaluate and clean data, expand data sets, and generate multiple models to understand industry trends and predict real estate values.
Is this course for you?
The Data Science in Real Estate online short course from MIT SA+P equips participants with the necessary data science skills to make informed decisions and expand their property portfolios successfully. Individuals with data analytics knowledge will discover how to apply their expertise to the real estate industry. In turn, real estate professionals and independent investors will develop their data skills to help them analyze and evaluate properties, thus empowering them to make more sound business and investment 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.
Course overview
Introduction
Duration: 6 weeks (excluding orientation)
Machine learning and data analytics have revolutionized how real estate professionals and investors conduct property assessments. The MIT School of Architecture and Planning (MIT SA+P) Data Science in Real Estate online short course focuses on applying data science skills in the built environment. Esteemed MIT faculty and industry experts guide participants through the statistical techniques that can help you uncover crucial insights about factors affecting property investment and development opportunities.
Over six weeks, this course will equip you with the skills and knowledge to evaluate and clean data, expand data sets, and generate multiple models to understand industry trends and predict real estate values.
Is this course for you?
The Data Science in Real Estate online short course from MIT SA+P equips participants with the necessary data science skills to make informed decisions and expand their property portfolios successfully. Individuals with data analytics knowledge will discover how to apply their expertise to the real estate industry. In turn, real estate professionals and independent investors will develop their data skills to help them analyze and evaluate properties, thus empowering them to make more sound business and investment 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
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 edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.Course curriculum
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
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Faculty Director
Dr Andrea Chegut
Director, MIT Real Estate Innovation Lab; Head of Research, MITdesignX; Research Scientist, MIT Center for Real Estate
About the certificate
Master the application of data analytics in the real estate sector and earn an official digital MIT SA+P certificate.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with a digital certificate, you’ll need to meet the requirements outlined in the course handbook. The handbook will be made available to you as soon as you begin the course.
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Why choose GetSmarter?
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We deliver market-led courses that equip working professionals with the expertise required to upskill, reskill or kickstart a completely new career. Through a data-driven approach, we analyze future skills requirements and ensure all courses address this need. We ensure that leading universities and institutions are your expert guides and our people, technology, and resources are your engine – together we power more than just education, we power your potential.
Read more about GetSmarter here and edX here.
Find out more about GetSmarter’s approach to digital learning, course design, and online delivery here.
Payment options
You can pay your course fees before the course starts, or you may opt for a split payment plan on courses that are nine weeks and shorter. For courses 10 weeks and longer, there is a three-part payment plan available. To find out more about payment options please visit our Payment and Financing page, or contact an Enrollment Adviser, to find out which option you qualify for.
Manage your 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 module you'll be presented with the course content and assignments necessary for completion. You also have access to your Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have.
Seek employer assistance
By improving your skills and industry knowledge, you'll have an influence on the success of your organization. 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?
Of our past students, 37 percent have received financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to request financial assistance from your employer.
If you are a Learning & Development (L&D) manager, or involved in training and upskilling for an organization, you can request information regarding our corporate offering on our GetSmarter for business page.
How to change your start date
As part of our commitment to your professional development, GetSmarter offers you a two-week period to change your course start date or request your money back if you’re not fully satisfied.
To qualify for a deferral of your course start date, or to cancel your enrollment and receive a refund of your course fee, your request would need to reach our Success Advisers before the release of Module 2. For more information, please read our Terms and Conditions.
Discover 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 videos, module notes, practice quizzes, presentations, 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 teaching team through the discussion forums. If you are looking for your Online Campus login, please visit your Account page here.
