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Artificial Intelligence and Data Science for Leaders

Ensure that your organization is future-fit in the digital age.

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At a Glance

Enrollment:
Open Enrollment
Length:
6 Weeks
Format:
Online
Total CEUs:
4.6 CEUs
Investment:
$2,800
Also offered in:

Upcoming Dates

July Start

Students may register up to 7 days after the course start.

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Explore artificial intelligence and data science with industry insiders.

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The six-week Artificial Intelligence (AI) and Data Science for Leaders course at the University of Chicago is designed to future-fit your business for the digital age. Learn about statistical inference, machine learning, and emerging technologies to smoothly integrate AI into your organization and optimize the way your employees work with machines.

Designed For

Designed for managers and leaders across different industries who want to increase their understanding of AI and those working with technical teams, analytics groups, and others to leverage data science to create value. Managers seeking to build and lead an AI-driven organization will also benefit from this course.

Learning Objectives to Become a Leader in AI

More and more companies are using AI to increase productivity. But what exactly is AI and why is it so important for today’s organizations? Our course will teach you to distinguish between the myths and opportunities that data science presents for your business with a focus on emerging AI and machine learning solutions.

After completing the course, you will be able to: 

  • Create a strategy for your organization that implements AI to achieve business goals.
  • Assemble a balanced data science team of professionals with the required backgrounds and skill sets.
  • Choose the best areas for early-stage development and understand how to scale AI solutions.
  • Earn a credential certifying completion from the University of Chicago and become part of the UChicago network.
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Ready to Take Your Organization to the Next Level?

Register today and unite your professional practice with our distinctive blend of academic rigor and real-world application.

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Data Science Curriculum

You will learn to: 

  • Identify new skills necessary for your business.
  • Develop a strategic plan to manage change within your team, function, or organization.
  • Identify the risks and rewards of new data science projects.

Data Science for Leaders Online Format Features

  • Self-paced interactive learning modules with a variety of engaging learning activities, assignments, and resources.
  • Live sessions that bring you, your peers, and your instructor together to learn collaboratively about the current state of the field, engage with real-world problems, and explore authentic solutions.
  • Continuous support from your instructional assistant, who will accompany you on your journey through the content, answer your questions, and provide feedback on your work.

Weekly Course Schedule

Describe the challenges and opportunities that data, data science, and AI present leaders across organizations and industries. Identify where in your organization there may be opportunities for strong data science leadership. Understand the diversity of roles required for data science teams to be effective and how they work together.

Learn the five key variables that determine a company's success. Hone your business and financial acumen by identifying and analyzing economic data from sample financial documents. Discuss how to estimate the economic value of a data science project.

Explore a business's economic drivers, understand approaches to continuous business acumen development, and learn how to estimate economic value.

Learn to distinguish among the major subdisciplines and trends in the machine learning (ML) landscape. Describe various techniques and use cases for supervised, unsupervised, and reinforcement learning. Identify the ML approaches that would be most promising for your business challenges.

Examine other key features of artificial intelligence, anomaly detection, and model interpretation and assessment. Discover how learning models are subject to replacement or improvement as data cycles through different states and the importance of unlearning or relearning parameters in creating successful models.

Deepen your understanding of AI as an end-to-end service by examining use cases. AI adoption in the healthcare industry and potential pitfalls in the deployment phase; Amazon Web Services (AWS) as an end-to-end solution and the services available through this system. Explore data ethics and privacy.

Earn a Credential in AI and Data Science for Leaders

After successful completion of this course, participants will receive credentials certified by the University of Chicago including a digital badge to recognize their achievement.

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Meet Your Instructors

Courageous thinkers and passionate teachers, our instructors are an active community of scholars. Propelled by rigorous debate and cross-disciplinary collaboration, they produce ideas that matter and enrich human life.

These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.

Michael Colella, MSc, MA

Michael Colella, MSc, MA

Senior Director of Global Data Strategy and Analytics, AXS

Michael Colella is the senior director of Global Data Strategy and Analytics at AXS, where he leads business intelligence, analytics engineering, and web analytics. His past leadership roles include spearheading global analytic innovation at Kraft Heinz and serving as Upshop’s chief data scientist.

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Learn more about Michael

Utku Pamuksuz, PhD

Utku Pamuksuz, PhD

Assistant Clinical Professor and Cofounder of Inference Analytics

Utku Pamuksuz is an AI and analytics instructor with expertise in data science, applied mathematics, and machine and deep learning. As a frequent guest speaker, he delivers academic and professional seminars. His published research involves AI algorithms in management, finance, strategy, healthcare...

Learn more about Utku

Career Outlook

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.

$ 179 k

The average annual base pay for a CTO in the United States.

75 %

The number of C-suite executives who believe scaling AI over the next five years is crucial to the survival of their business

37.3 %

The anticipated annual growth rate of the AI market from 2023 to 2030.

Potential Job Titles for Professionals with Artificial Intelligence and Data Science Skills

  • Analytics Consultant  
  • Analytics Specialist 
  • Artificial Intelligence Specialist  
  • Big Data Developer 
  • Business Intelligence Developer 
  • Chief Information Officer 
  • Chief Technology Officer 
  • Digital Innovation Officer 
  • Digital Product Director 
  • Director of Strategy 
  • Insights Analyst 
  • Program Director 
  • Program Manager 

Offered by The University of Chicago's Professional Education

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