MIT School of Architecture and Planning
Data Science in Real Estate
Gain the analytical tools needed to utilize data for informed decision making in real estate.
Start date
10 February 2021
Enroll by 02 February 2021
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
The percentage of global commercial real estate firms that plan to increase the use of AI technologies in their organizations.
Deloitte (Oct, 2019).
The percentage of global commercial real estate firms that are using data for strategic business decisions or future planning activities.
Deloitte (Oct, 2019).
Duration: 6 weeks (excluding orientation)
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. Esteemed MIT and industry experts will teach you how to harness statistical techniques in order to reveal key insights into the factors that impact property investment and development opportunities.
Over the course of six weeks, you’ll be exposed to the concepts of evaluating and tidying data, expanding data sets, and generating a selection of models that can be used to explain industry trends and forecast real estate values.
Is this course for you?
This program provides participants with the skills needed to grow a successful property portfolio through data-driven decision making. Those with experience in data science 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.
Course overview
Introduction
Duration: 6 weeks (excluding orientation)
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. Esteemed MIT and industry experts will teach you how to harness statistical techniques in order to reveal key insights into the factors that impact property investment and development opportunities.
Over the course of six weeks, you’ll be exposed to the concepts of evaluating and tidying data, expanding data sets, and generating a selection of models that can be used to explain industry trends and forecast real estate values.
Is this course for you?
This program provides participants with the skills needed to grow a successful property portfolio through data-driven decision making. Those with experience in data science 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
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.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
Get course brochure
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
Learn to leverage data analytics in real estate and earn an official MIT SA+P certificate.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with a 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.
Get a course brochure
Want to know more?
Why choose GetSmarter?
GetSmarter, a 2U, Inc. brand, is an online learning expert with over 10 years' experience in developing high-quality online short courses from the world’s leading universities. We deliver market-led courses that equip working professionals with the expertise required for the workplace of the future. Through a data-driven approach, we analyze future skills requirements and ensure all courses address this need.
Students are supported at every stage of the learning journey, enabling them to thrive professionally through increased relevance, competence, and confidence. 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 FAQ, 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 see the list of university partner login pages here.
