Applied Business Analytics

Solve complex business problems with data.

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Course Dates

STARTS ON

August 15, 2023

Course Duration

DURATION

6 weeks, online
4-6 hours per week

Course Fee

PROGRAM FEE

US$2,508

Course Information Flexible payment available
Course Fee

For Your Team

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Develop Future-Ready Skills Today

Emeritus is collaborating with MIT Sloan Executive Education to help you build future-ready skills. Enroll before and get up to 15% tuition assistance to set yourself up for professional success.​

Application Details

Tuition assistance is live as per below schedule. The full program fee is $2950 as of the start date.

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Garner In-Demand Skills

In this six-week program, you will be able to:

  • Apply analytics to a wide range of business applications.
  • Select and apply the appropriate algorithm for a given business scenario.
  • Lead teams and design deliverables using analytics problem-solving.
  • Establish workflows, identify interdependencies, and utilize human judgment while managing the analytics process.

Why Study Business Analytics?

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.

$260 Billion

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.

SOURCE: IDC study

95%

of businesses cite the need to manage unstructured data as a problem for their business.

SOURCE: Forbes

60%

By 2023, 60% of organization will build business applications that consist of components from three or more analytics solutions.

SOURCE: Gartner

Who Should Attend

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:

  • Senior executives who strive to leverage data for competitive advantage and build out analytics capabilities in their organizations.
  • Functional managers and business heads who want to advance their analytics skills and manage data analyst teams more effectively by asking better questions.
  • Data and Business Analysts who want to deepen their understanding of how to apply analytics tools to common business challenges, such as predicting customer preferences and trends.
  • Consultants who need to dig deeper into their client's data in order to make better recommendations and speak the same language as data analysts.

Your Learning Experience

Apply descriptive, predictive, and prescriptive tools to real-world case studies and examples.

Decorative image relating to text that follows

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.

Program Topics

Topic 1:

Making Predictions Using Data

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.

Topic 2:

Tools and Frameworks to Build Predictive Models

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.

Topic 3:

Using Business Analytics to Interpret and Analyze Data

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.

Topic 4:

Customer Analytics: Using Analytics to Serve Customers Better

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.

Topic 5:

Understanding Machine Learning and its Business Applications

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.

Topic 6:

Managerial Decision-Making with Business Analytics

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.

Topic 1:

Making Predictions Using Data

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.

Topic 4:

Customer Analytics: Using Analytics to Serve Customers Better

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.

Topic 2:

Tools and Frameworks to Build Predictive Models

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.

Topic 5:

Understanding Machine Learning and its Business Applications

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.

Topic 3:

Using Business Analytics to Interpret and Analyze Data

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.

Topic 6:

Managerial Decision-Making with Business Analytics

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.

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Learn from the Best at MIT Sloan

Faculty Member Dimitris Bertsimas

Dimitris Bertsimas

Boeing Leaders for Global Operations Professor of Management, Professor of Operations Research, Associate Dean for the Master of Business Analytics

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 and the cofounder of Benefits Science, a company that designs health care plans for companies, Dynamic Ideas Financial, a company that provides financial advice to customers, Alpha Dynamics, an asset management company, P2 Analytics, an analytics consulting company, and MyA Health, a personalized health care advice company. More info

Hear from our past learners

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.

...read more
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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.

...read more
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Case Studies

Netflix

How data analytics built a movies-you'll-love feature

Twitter

Mining Tweets to understand customer sentiment at Apple

Framingham Heart Study

How to save lives by predicting heart disease

Image of several high rise towers to portray the Boston Real Estate case study

Boston Real Estate

Leverage a historic Boston real estate data set to predict values

Corporate Strategy

Use an optimization model to maximize net present value and steer the corporate strategy

Inventory Management

Machine learning techniques work to improve operational performance

Earn a Certificate from MIT Sloan

Example image of certificate that will be awarded after successful completion of this program

Earn a Certificate from MIT Sloan

Receive a verified digital certificate of completion from MIT Sloan School of Management. This program also counts toward an MIT Sloan Executive Certificate.

Download Brochure

After 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.

FAQs

  • How do I know if this program is right for me?

    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.


    Are there any prerequisites for this program?

    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.


    What is the typical class profile?

    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.


    What other dates will this program be offered in the future?

    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.

  • How much time is required each week?

    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.


    How will my time be spent?

    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:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    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.


    What is it like to learn online with the learning collaborator, Emeritus?

    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.


    How do I interact with other program participants?

    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.

  • What are the requirements to earn the certificate?

    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.


    What type of certificate will I receive?

    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.


    Can I get the hard copy of the certificate?

    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.


    Do I receive alumni status after completing this program?

    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.


    How long will I have access to the learning materials?

    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.

  • What equipment or technical requirements are there for this program?

    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.


    Do I need to be online to access the program content?

    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.

  • Can I still register if the registration deadline has passed?

    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.

    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    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.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us with the details of the program you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email us your invoicing requirements and the specific program you’re interested in enrolling in.


    Is there an option to make flexible payments for this program?

    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.


    How can I obtain a W9 form?

    Please connect with us via email for assistance.

  • What is the policy on refunds and withdrawals?

    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.



    What is the policy on deferrals?

    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.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Academic Advisors or call us at +44 150 730 4811 (UK) / +1 401 264 8575 (US) / +65 3138 5193 (SG)

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Flexible payment options available. Learn more.