The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
August 15, 2023
6 weeks, online
4-6 hours per week
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Applied Business Analytics starting on August 15, 2023 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.Tuition assistance is live as per below schedule. The full program fee is $2950 as of the start date.
In this six-week program, you will be able to:
MIT Sloan Executive Education's Applied Business Analytics online program is designed to bridge the gap between the needs of working professionals and the accessibility of analytical models and tools. Take this opportunity to use data to improve decision-making.
Global business data analytics spending will grow at a CAGR of nearly 13% through 2025. The big data and business analytics market is predicted to reach $260 billion in 2022.
of businesses cite the need to manage unstructured data as a problem for their business.
By 2023, 60% of organization will build business applications that consist of components from three or more analytics solutions.
This online program is ideal for managers and leaders who want to turn data into a competitive advantage by advancing their analytics skills. Participants will learn how to decide which is the best tool for their challenge, and how to apply different models. Participants come from a broad range of industries, job functions, and management levels. Past participants of this program include:
Apply descriptive, predictive, and prescriptive tools to real-world case studies and examples.
Download a template for your team's business analytics project plan.
Learn from world-renowned MIT faculty.
Discuss learnings and industry trends with a cohort of peers at the top of their fields.
Bit-Sized Learning
Active support from program Learning Facilitators.
Weekly Q&A through live office hours with Learning Facilitators, and experts in this subject matter.
Learn how to predict customer preferences by grouping like data. Explore the Netflix movie recommendation engine and understand the principles that can lead to greater customer satisfaction and retention.
Learn how to predict customer preferences by grouping like data. Explore the Netflix movie recommendation engine and understand the principles that can lead to greater customer satisfaction and retention.
Using a historic Boston real estate data set, we will explore the basic logic employed by real estate technology firms. Additionally, learn about different analytics tools that can help predict Supreme Court decisions and how these tools can outperform the elite experts.
Delve into how a healthcare system identifies high-risk patients before a major health complication and can intervene for better health outcomes. Plus, in an effort to understand Apple’s customers better, we will review a natural language processing technique for classifying Tweets, which will enable us to assess user sentiment.
Through the lens of the Data-Models-Decisions-Value framework, learn how deep learning algorithms enable your machine to read numbers, a subset of computer vision capabilities. Further, we will seek to improve operational performance through machine learning algorithms and decision tools in inventory management.
While supporting the CFO of a fictitious company, we will interpret data for making crucial business decisions, namely how to shift it to a higher-tech focus while maximizing net present value. Finally, we will examine simulations for optimizing an airline’s fleet insurance policy.
Learn how to predict customer preferences by grouping like data. Explore the Netflix movie recommendation engine and understand the principles that can lead to greater customer satisfaction and retention.
Delve into how a healthcare system identifies high-risk patients before a major health complication and can intervene for better health outcomes. Plus, in an effort to understand Apple’s customers better, we will review a natural language processing technique for classifying Tweets, which will enable us to assess user sentiment.
Learn how to predict customer preferences by grouping like data. Explore the Netflix movie recommendation engine and understand the principles that can lead to greater customer satisfaction and retention.
Through the lens of the Data-Models-Decisions-Value framework, learn how deep learning algorithms enable your machine to read numbers, a subset of computer vision capabilities. Further, we will seek to improve operational performance through machine learning algorithms and decision tools in inventory management.
Using a historic Boston real estate data set, we will explore the basic logic employed by real estate technology firms. Additionally, learn about different analytics tools that can help predict Supreme Court decisions and how these tools can outperform the elite experts.
While supporting the CFO of a fictitious company, we will interpret data for making crucial business decisions, namely how to shift it to a higher-tech focus while maximizing net present value. Finally, we will examine simulations for optimizing an airline’s fleet insurance policy.
Dimitris Bertsimas
Boeing Leaders for Global Operations Professor of Management, Professor of Operations Research, Associate Dean for the Master of Business Analytics
A faculty member since 1988, his research interests include optimization, stochastic systems, machine learning, and their application. In recent years, he has worked in robust optimization, statistics, healthcare, transportation, and finance. Bertsimas was a cofounder of Dynamic Ideas, LLC, which developed portfolio management tools for asset management. In 2002, the assets of Dynamic Ideas were sold to American Express. He is also the founder of Dynamic Ideas Press, a publisher of scientific books, the cofounder of Benefits Science, a company that designs health care plans for companies, of Dynamic Ideas Financial, a company that provides financial advice to customers, of Alpha Dynamics, an asset management company, P2 Analytics, an analytics consulting company and of MyA Health, a personalized health care advice company.
Bertsimas has coauthored more than 200 scientific papers and books, including The Analytics Edge (with A. O'Hair and W. Pulleyblank, Dynamic Ideas, 2016). He is former department editor of Optimization for Management Science and of Operations Research in Financial Engineering. A member of the National Academy of Engineering and an INFORMS fellow, he has received numerous research awards, including the Harold Larnder Prize (2016). He has also received recognition for his educational contributions: The Jamieson prize (2013) and the Samuel M. Seegal prize (1999).
Bertsimas holds a BS in electrical engineering and computer science from the National Technical University of Athens, Greece, as well as an MS in operations research and a PhD in applied mathematics and operations research from MIT.
I loved that the program focused on how the models applied to leadership decisions. It allows the leader to sit in a meeting and process every word the data scientist might say. I also really enjoyed the virtual meetings as they helped further my understanding of key topics.
This course offered me a window into the world of applied business analytics, which prior to this course, I had very little experience with. I’m very pleased to have taken it as the content and instructors made the topics approachable and allowed me to wrap my head around data in the business world. Specifically, I took away lessons on where to push back on the data, how to question it, and what different kinds of analysis are common practice. It touched on many subjects but didn’t get so far into the weeds that I couldn’t keep up. That said, the content is there if you do want to dig deep as many of my cohorts were well versed in data compared to myself. I would recommend this course to anyone looking to expand their knowledge on the subject, regardless of prior experience.
How data analytics built a movies-you'll-love feature
Mining Tweets to understand customer sentiment at Apple
How to save lives by predicting heart disease
Leverage a historic Boston real estate data set to predict values
Use an optimization model to maximize net present value and steer the corporate strategy
Machine learning techniques work to improve operational performance
Receive a verified digital certificate of completion from MIT Sloan School of Management. This program also counts toward an MIT Sloan Executive Certificate.
Download BrochureAfter successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT Sloan.
After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.
Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.
Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.
More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.
Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.
Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.
We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:
The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.
More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.
All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.
A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.
Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.
This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.
Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile.
The digital certificate will be sent approximately two weeks after the program, once grading is complete.
No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.
No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.
You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.
Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.
Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.
Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.
Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.
Yes! Please email us with the details of the program you are interested in, and we will assist you.
Please email us your invoicing requirements and the specific program you’re interested in enrolling in.
Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.
Please connect with us via email for assistance.
You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.
After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org.
Flexible payment options available.