Machine Learning in Business

Bridge the Gap Between Business and Data Science Teams

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Course Dates

STARTS ON

TBD

Course Duration

DURATION

2 months, online
4-6 hours per week

The Ontario Student Assistance Program is offering financial assistance to Ontario residents.
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What You Will Learn

Machine Learning, a sub-domain of Artificial Intelligence, employs techniques used for analyzing large data sets and making predictions. These techniques are being adopted by organizations across all industries and all functional areas to achieve better outcomes.

In order to reach optimal performance, you need to adopt the mindset and language of data scientists. In Machine Learning in Business, Rotman delivers just that — the bridge for business professionals to communicate effectively with analysts and data scientists to drive better business outcomes.

University of Toronto is #1 in Canada according to QS World University Rankings by Subject | 2022

SOURCE: THE QS WORLD UNIVERSITY

What You'll Get

  • Training on how to communicate fluently on the topics of machine learning applications, processes, and strategies with data science teams, either internal or external.
  • Expert guidance on how to describe common algorithms and appropriate business applications for each.
  • Techniques to identify ways in which machine learning can support business leadership to improve understanding of customers and use data to make predictions.
  • A deep understanding of the approaches used by data science teams to work with them and achieve better outcomes.

Program Curriculum

New content is released each week, such that the cohort moves in unison through the virtual e-learning program with group discussions enriching the learning experience.

Module 1:

Overview of Machine Learning and its Methodologies

Learn why there’s so much buzz about machine learning — what is the language of this domain, what are the three different types of ML, and examples of their applications for business.

Module 2:

Unsupervised Learning

Dive into the purpose of unsupervised learning models, and address managerial questions related to clustering and customer segmentation.

Module 3:

Regression Analysis and Its Extensions

Transition from statistics to machine learning with the use of regression models. Start to predict outcomes to inform business decisions.

Module 4:

Decision Trees

When facing a big decision, discover which questions on a decision tree are the highest priority

Module 5:

Support Vector Machines (SVMs)

Data points not cooperating for classification? Tap into a technique that helps to classify even your most stubborn data.

Module 6:

Neural Networks

Discover a fast-growth area of machine learning - neural networks - one of the most flexible approaches to supervised learning.

Module 7:

Reinforcement Learning

Imagine a computer playing chess against itself many times, using trial and error strategy to learn. This is reinforcement learning - good for defining the best sequence of decisions that allow you to solve a problem while maximizing a long-term reward.

Module 8:

Natural Language Processing (NLP)

How do your customers feel about your brand? Are financial analysts bullish about your business or not? One major application of NLP is sentiment analysis. But also voice assistants and chat bots.

Module 1:

Overview of Machine Learning and its Methodologies

Learn why there’s so much buzz about machine learning — what is the language of this domain, what are the three different types of ML, and examples of their applications for business.

Module 5:

Support Vector Machines (SVMs)

Data points not cooperating for classification? Tap into a technique that helps to classify even your most stubborn data.

Module 2:

Unsupervised Learning

Dive into the purpose of unsupervised learning models, and address managerial questions related to clustering and customer segmentation.

Module 6:

Neural Networks

Discover a fast-growth area of machine learning - neural networks - one of the most flexible approaches to supervised learning.

Module 3:

Regression Analysis and Its Extensions

Transition from statistics to machine learning with the use of regression models. Start to predict outcomes to inform business decisions.

Module 7:

Reinforcement Learning

Imagine a computer playing chess against itself many times, using trial and error strategy to learn. This is reinforcement learning - good for defining the best sequence of decisions that allow you to solve a problem while maximizing a long-term reward.

Module 4:

Decision Trees

When facing a big decision, discover which questions on a decision tree are the highest priority

Module 8:

Natural Language Processing (NLP)

How do your customers feel about your brand? Are financial analysts bullish about your business or not? One major application of NLP is sentiment analysis. But also voice assistants and chat bots.

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Program Experience

Decorative image relating to peer discussion groups

Peer discussion groups

Decorative image relating to crowdsourcing activities

Crowdsourcing activities

Decorative image relating to case studies and real data sets

Case studies and real data sets

Decorative image relating to simulation on sentient analysis

Simulation on sentiment analysis

Decorative image relating to optional coding exercises

Optional coding exercises

Decorative image relating to the ML Playbook

Your ML Playbook

Decorative image relating to real-world application exercises

Real-world application exercises

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Featured guest speakers

Who Should Attend

This virtual e-learning program is designed for anyone who wants to understand how machine learning techniques can help them leverage their data to achieve better outcomes.

  • C-Suite executives to help guide investments in machine learning and data science resources
  • Functional leaders such as directors of marketing, technology, innovation, or strategy to understand the business value drivers embedded in machine learning and to lead digital transformation projects with ‘inside knowledge’
  • Technologists such as IT and solutions architects to create enterprise IT architecture using leading ML technology frameworks
  • Product and project managers who strive to enhance the user experience/engagement of products and to prioritize product features through enhanced understanding of their customer’s needs and behaviours
  • Mid-level managers who strive to enable data-driven management techniques and to automate repetitive tasks for more efficient management
  • Consultants who strive to help their clients develop strategies around ML strategy, capabilities, and talent

Testimonials

Emily Majdi

"I really enjoyed the various skill testing quizzes along the way. It was a great way for me to assess and gain immediate feedback on my understanding of the content."

— Emily Majdi, Standards Supervisor (Secondment), Toronto Hydro

Sachin Jain

"The overall flow of the program was excellent, and I loved the way the program touched upon all the relevant concepts in the field of Machine Learning."

— Sachin Jain, Managing Solution Architect, Fujitsu Americas

Program Faculty

Faculty Member John Hull

John Hull

Professor of Finance, Maple Financial Group Chair in Derivatives and Risk Management, Academic Director, Rotman Financial Innovation Hub

John Hull is the Maple Financial Professor of Derivatives and Risk Management at the Joseph L. Rotman School of Management, University of Toronto. He is academic director of FinHub, and his research and teaching have been in the machine learning area in the last few years. The program has been inspired by his book - "Machine Learning in Business: An Introduction to the World of Data Science” (now in its 2nd edition). Apart from this he has written three other books: “Risk Management and Financial Institutions” (now in its 5th edition); "Options, Futures, and Other Derivatives" (now in its 11th edition); "Fundamentals of Futures and Options Markets" (now in its 9th edition). The books have been translated into many languages and are widely used by practicing managers as well as in the classroom. He was in 2016 awarded the title of University Professor (an honor granted to only 2% of faculty at University of Toronto.) He has acted as consultant to many financial institutions throughout the world and has won many teaching awards, including University of Toronto's prestigious Northrop Frye award. Dr. Hull is co-director of Rotman’s Master of Finance and Master of Financial Risk Management programs.

Certificate

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

Certificate

Upon successful completion of the two-month virtual e-learning program, you’ll earn a digital certificate of completion from the Rotman School of Management. This virtual e-learning program counts toward a Rotman Excellence in Executive Leadership Certificate.

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Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Rotman School of Management.

The Ontario Student Assistance Program is offering financial assistance to Ontario residents

The Ontario Student Assistance Program has recently begun to offer funding for micro-credentials, including Rotman Executive Programs. This new resource is part of Ontario’s micro-credentials strategy, helping learners access more opportunities to train or upskill for in-demand jobs through loans and grants. This funding is available for Ontario residents only with additional requirements. Click here to know more

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 learner.success@emeritus.org for assistance.


    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 at learner.success@emeritus.org 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 contact us at learner.success@emeritus.org if you need further clarification on program activities.



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

    More than 250,000 professionals globally, across 80 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.

    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 enrol. 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 contact us at learner.success@emeritus.org 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 at learner.success@emeritus.org for details.


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

    Yes! Please email us at learner.success@emeritus.org 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 learner.success@emeritus.org with your invoicing requirements and the specific program you’re interested in enroling 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 email us at learner.success@emeritus.org 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 enrolment 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 enrolment 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 enrolment remains. All deferral requests should be sent to admissions@emeritus.org.

Apply Now

Early registrations are encouraged. Seats fill up quickly!