Artificial Intelligence and
Data Science for Leaders

Ensure your business is future-fit in this AI world.


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Learn about the current trends in data science and machine learning from industry insiders.

The artificial intelligence and data science industries are booming, with an expected market value of  99.9 billion dollars by 2023
in the case of the former and 16 billion by 2025 for the latter. An increasingly wide range of industries—automotive, entertainment, healthcare, media, retail, and telecommunications—need professionals with the skills to leverage AI and data science.

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Our Approach to Online Learning

Our Artificial Intelligence and Data Science for Leaders program provides you with the frameworks that will help you discover the opportunities that new technologies present for your organization.

1

Flexible

Make the most of your time with a modality that allows you to study the contents and complete the tasks at your own pace. If you are unable to attend the webinars or live sessions, you can access them later.

2

Interactive

Our interactive content includes videos from instructors at the University of Chicago and visual and graphic materials that will provide you with real-life examples.

3

Personalized

Throughout the program, the teaching assistant—a subject matter expert—will accompany you on your journey through the content, resolve doubts, and provide feedback on your work.


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Meet Your Instructors

Greg Green, PhD
Greg Green, PhDAssociate Senior Instructional Professor, Director MScA Program, the University of Chicago Read More

As Associate Senior Instructional Professor and Director of the Master of Science in Analytics Program at the University of Chicago, Professor Green architects and leads programs that strategically apply analytics to solve complex industry problems with greater speed and impact.

Nalini Polavarapu, PhD
Nalini Polavarapu, PhDVice President, Enterprise Analytics and Data Science at Bayer; Senior Advisor and Adjunct Professor, the University of Chicago Read More

In this role, she oversees strategies and solutions using machine learning, operations research, and data and analytics to enable the development of predictive pipelines and end-to-end supply chains to deliver best-in-class customer experience. She is also responsible for developing learning programs to provide the organization with enhanced training in digital skills and shape the culture of Bayer’s 700-strong data science community.

Utku Pamuksuz, PhD
Utku Pamuksuz, PhDChief Data Scientist and Co-founder, Inference Analytics; Lecturer, the University of Chicago Read More

Dr. Pamuksuz is an AI researcher with expertise in data science, business analytics, applied mathematics, and machine/deep learning. He has been an invited speaker, delivering keynote sessions in academic and professional seminars in Europe, Asia, and the US, for application and development of data analytics in the areas of management, finance, strategy, healthcare, e-commerce, and quantitative marketing. Pamuksuz has served as a senior data scientist at State Farm as well as W.W. Grainger. He co-founded Inference Analytics in 2018.

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Unique Program Features

Live sessions

Share your questions and experiences with the instructor, the TA, and the other participants in the webinars and live sessions.

World-class instructors

Thanks to our live sessions, you will have the opportunity to interact with members of the prestigious and renowned University of Chicago faculty.

Practical application

Discover real-world examples and case studies and apply what you learn to your daily work.

Multilingual delivery

Our courses and programs are translated in their entirety and instructor videos and webinars (in English) are subtitled.

Learning Outcomes

Program Modules

Module 1: Introduction to Leadership and Data Science

Module 2: Data-Driven Decision-Making and Leadership

Module 3: Data as a Competitive Advantage

Module 4: Machine Learning (ML) and Artificial Intelligence (AI)

Module 5: AI and ML as a Service

Module 6: AI Strategy—Building for Scale and Impact

Module 7: AI Transformation—Building Teams and Organizations

Module 8: Final Project—Growth as a Leader


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Certificate of Completion

Once you complete the program, you will receive your Certificate of Completion from the University of Chicago. You will also receive a digital badge that will serve as an online certificate of your accomplishment.

Who Will Benefit

Managers across industries who want to enhance their AI knowledge

Those who work with technical teams, analytics groups, and other areas that leverage data science to create value for their business

Leaders who wish to build and lead an AI-driven organization.

Participant Experiences

“The program helped me refresh concepts, learn about new use cases, and bolster my current role as a leader in a company where we create AI solutions.”
Luis Sepúlveda H. CEO, Alaya Digital Solutions
“The topic was new to me and I had to read three books to get to my classmates’ level. I have achieved my goal of delving into the AI and ML dimensions. I am now embarking on a longer journey that will involve continuous learning to reach higher goals.”
Albert Casas Associate Founder of Censor Consulting, S.L.
“Everything I learned helped me to gain a better executive-level strategic overview. I also had the opportunity to share experiences with people from different countries and the data science experts from the University of Chicago.”
Luis Vázquez IT Leader at Fresnillo PLC
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Payment Options

One-time payment:

Discounts may apply. Payment of the full course fee is due at the time of registration.

Installment payment:

1st installment

40% of the total price

2nd installment

20% of the total price

3rd installment

20% of the total price

4th installment

20% of the total price


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Get in Touch

Schedule a call with us and we will tell you all about how Artificial Intelligence and Data Science for Leaders will boost your career into the future.


Enroll


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Start dates

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Would you like to receive a tuition reduction?

We will apply a reduction of ____% if you enroll by ____ _____, 2022.

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