PROFESSIONAL EDUCATION

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

Download the Brochure

START DATE

December 5, 2022

DURATION

Eight weeks Online with live, interactive sessions

LANGUAGE

CEUs

Continuing Education Units

START DATE

DURATION

LANGUAGE

Download the Brochure

Explore artificial intelligence and data science with 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.”
$

179

k

is the average annual base pay for a CTO in the United States

Source: Glassdoor

3

out of

4

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

Source: Accenture

$

99.9

B

Is the projected market value of the artificial intelligence industry by 2023.

Source: Analytics Insights

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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 enables you to study the contents and complete assignments at your own pace. If you are unable to attend 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 provide real-life examples.

3

Personalized

The teaching assistant—a subject matter expert—will accompany you on your journey through the content, answering your questions and providing feedback on your work.

Meet Your Instructors

Unique Program Features

Learn by
doing

World-class
instructors

Live
sessions

International
networking

After completing the course, you will be able to:

  • Create a strategy for your organization that makes use of AI to accomplish business goals
  • Assemble a balanced data science team made up 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 certificate of completion from the University of Chicago and become part of the UChicago network

Program Modules

Module 1: Introduction to Leadership and Data Science

  • Why is this program crucial for AI leadership?
  • What is data science?
  • Data science community of roles

Module 2: Data-Driven Decision-Making and Leadership

  • Leadership competencies
  • The leadership pipeline
  • Data-driven decision-making
  • Business acumen

Module 3: Data as a Competitive Advantage

  • The five drivers of business
  • Developing business acumen
  • Economic value estimation

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

  • Data science and the big data picture
  • AI and ML landscape and tasks
  • Unsupervised learning: descriptive cases and association rules
  • Unsupervised learning: recommendation systems
  • Unsupervised learning: data mining with pattern recognition and clustering
  • Supervised learning: classification and regression
  • Reinforcement learning

Module 5: AI and ML as a Service

  • Future of AI: trends to 2025
  • Learning algorithms in a spectrum
  • Overcoming challenges in using machine learning
  • Model interpretation and assessment

Module 6: AI as a Service—Use Cases

  • Adopting AI in healthcare
  • Deployment
  • Open-source collaboration and Amazon Web Services (AWS)
  • Data ethics and privacy

Module 7: AI Transformation—Building Teams and Organizations

  • Getting the team ready
  • Needs assessment
  • Building the team
  • Giving an effective presentation

Module 8: Final Project—Growth as a Leader

  • Unir todo en una historia coherente para cada caso
  • Compartir las últimas tendencias en ética de datos y privacidad
  • Errores inherentes en el modelado predictivo y los riesgos asociados

This program is an excellent fit for:

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