MIT Sloan and MIT CSAIL
Machine Learning in Business
Incorporate machine learning into your business strategy, as you explore the value and impact of this technology.
Start date
05 February 2025
Course duration
6 weeks
Excluding orientation
Language
English
Access resources from start date
Effort
6–8 hours per week
Self-paced learning online
Course overview
The expected value of the global machine learning market by 2024, a compound annual growth rate (CAGR) of 44.06% since 2017.
Market Research Future (Jan, 2020).
The estimated percentage of organizations that will leverage AI techniques like ML or deep neural networks (DNNs) to deliver business value by the end of 2022.
Gartner (Nov, 2019).
Duration: 6 weeks (excluding orientation)
Machine learning is rapidly becoming a crucial component in business, providing an opportunity to gain a competitive edge, a top priority for executives and managers. From the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the Machine Learning in Business online short course will lead you to explore the business potentials of machine learning and equip you with the necessary skills to implement effective strategies.
With a focus on the managerial implications of machine learning, this program provides a comprehensive understanding of the technical aspects necessary to create an effective machine learning integration strategy. Gain insights from machine learning experts and esteemed MIT faculty, and explore this technology's impact and value in the business world.
Is this course for you?
While not technical in nature, this online short course will prove valuable for leaders and decision makers seeking to gain a foundational understanding of machine learning to integrate it effectively into their organization. Additionally, it is relevant for managers, data specialists, consultants, and business professionals who wish to explore the technology's strategic implications. By the end of the course, you will have a solid comprehension of machine learning applications in the business sphere without the need for coding or programming. You will also delve into the potential, capabilities, and reach of this revolutionary technology.
Course overview
Introduction
Duration: 6 weeks (excluding orientation)
Machine learning is rapidly becoming a crucial component in business, providing an opportunity to gain a competitive edge, a top priority for executives and managers. From the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the Machine Learning in Business online short course will lead you to explore the business potentials of machine learning and equip you with the necessary skills to implement effective strategies.
With a focus on the managerial implications of machine learning, this program provides a comprehensive understanding of the technical aspects necessary to create an effective machine learning integration strategy. Gain insights from machine learning experts and esteemed MIT faculty, and explore this technology's impact and value in the business world.
Is this course for you?
While not technical in nature, this online short course will prove valuable for leaders and decision makers seeking to gain a foundational understanding of machine learning to integrate it effectively into their organization. Additionally, it is relevant for managers, data specialists, consultants, and business professionals who wish to explore the technology's strategic implications. By the end of the course, you will have a solid comprehension of machine learning applications in the business sphere without the need for coding or programming. You will also delve into the potential, capabilities, and reach of this revolutionary technology.
What will set you apart
A practical action plan to strategically implement machine learning in business.
Exposure to the technical elements of machine learning, enabling you to leverage this technology without needing to code or program.
Insights from esteemed MIT faculty and machine learning experts.Course curriculum
Orientation module
Welcome to your Online Campus
Module 1
Introduction to machine learning
Module 2
Implementing machine learning in a business
Module 3
Sensing the physical world
Module 4
Helping machines learn to use language
Module 5
Finding patterns in human transactions
Module 6
Machine learning challenges and future
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Faculty Directors
Thomas Malone
Patrick J. McGovern (1959) Professor of Management, MIT Sloan School of Management; Founding Director, MIT Center for Collective Intelligence
Daniela Rus
Director, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Earn a certificate
Acquire the knowledge to integrate machine learning into your business strategy and earn an official digital certificate of completion from the MIT Sloan School of Management.
This machine learning program also counts toward an MIT Sloan Executive Certificate, which you can earn by completing four programs; three from your chosen certificate track and one completed in person. Find out more.
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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.
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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.
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