MIT Sloan and MIT CSAIL
Machine Learning in Business
Incorporate machine learning into your business strategy, and explore the value and impact of this technology
Start date
27 January 2021
Enroll by 19 January 2021
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 estimated volume of untapped data within an enterprise that could assist with addressing challenges and embracing opportunities.
Accenture (Aug, 2019).
The percentage of professionals who consider ML and AI to have the potential to transform their job and industry.
EconoTimes (Feb, 2018).
Duration: 6 weeks (excluding orientation)
Machine learning offers an opportunity to gain a powerful competitive edge in business, and is increasingly becoming a priority for managers and executives. In this online short course, you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation.
This course focuses on the managerial implications of machine learning, while touching on certain technical aspects, in order to provide you with the deeper knowledge needed to craft an effective machine learning integration strategy.
Is this course for you?
Although not technical in focus, this online short course will be useful for leaders and decision-makers who want to gain a grounding in machine learning in order to successfully integrate it into their organization. It’s also relevant for managers, data specialists, consultants, and business professionals interested in exploring the technology’s strategic implications.You’ll walk away with a sound understanding of the applications of machine learning in business, without needing to code or program. You’ll also explore the opportunities, capabilities, and scope of this transformative technology.
Course overview
Introduction
Duration: 6 weeks (excluding orientation)
Machine learning offers an opportunity to gain a powerful competitive edge in business, and is increasingly becoming a priority for managers and executives. In this online short course, you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation.
This course focuses on the managerial implications of machine learning, while touching on certain technical aspects, in order to provide you with the deeper knowledge needed to craft an effective machine learning integration strategy.
Is this course for you?
Although not technical in focus, this online short course will be useful for leaders and decision-makers who want to gain a grounding in machine learning in order to successfully integrate it into their organization. It’s also relevant for managers, data specialists, consultants, and business professionals interested in exploring the technology’s strategic implications.You’ll walk away with a sound understanding of the applications of machine learning in business, without needing to code or program. You’ll also explore the opportunities, capabilities, and scope of this transformative 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 to 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
Founding Director of the MIT Center for Collective Intelligence
Daniela Rus
Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT
About the certificate
Learn to incorporate machine learning into your business strategy and earn an official certificate of completion from the MIT Sloan School of Management.
This machine learning program also counts towards 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.
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.
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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.
