Artificial Intelligence and Data Science for Leaders
Shape your strategy with future-ready tools to drive innovation.
Enroll Now Customize for Organizations
At a Glance
- Enrollment:
- Open enrollment
- Length:
- 6 Weeks
- Format:
- Online
Upcoming Dates
There are currently no upcoming dates.
Explore artificial intelligence and data science with industry insiders.
The University of Chicago's six-week Artificial Intelligence and Data Science for Leaders course empowers you to harness cutting-edge tools and strategies for today's digitally driven business environment. Explore statistical inference, machine learning, and emerging technologies to seamlessly integrate AI into your organization, enhancing collaboration between your teams and machines for optimized performance.
Designed For
Designed for leaders across diverse 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:
- Pinpoint the new AI, data science, and machine-learning capabilities and skills your organization requires.
- Identify the most promising areas for early-stage development and explore strategies for scaling AI solutions.
- Create a strategic plan to guide your team, function, or organization through change, enabling effective use of data science to achieve business goals.
- Build a data science team equipped for success in an AI-driven world.
- Evaluate the risks and rewards of pursuing—or choosing not to pursue—new data science projects.
Earn credentials certifying completion from the University of Chicago, including a digital badge, and become part of the UChicago network.
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.
Enroll NowAI and 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.
AI and 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
Learning objectives
- Understand key concepts and definitions of data science and AI relevant to leadership.
- Distinguish between data platforms, data models, and algorithms in AI and data science.
- Differentiate between supervised and unsupervised learning, and the types of analytics: descriptive, diagnostic, predictive, and prescriptive.
Learning objectives
- Learn how to estimate the economic value of data science and AI projects.
- Master the art of outlining project requirements for AI and data science initiatives.
- Develop key performance indicators (KPIs) that align with project goals.
- Refine your approach to monitoring and evaluating project success.
Learning objectives
- Transform insights into actionable strategies that drive results.
- Ensure data privacy and compliance in every stage of your projects.
- Identify and source high-quality data to uncover valuable insights.
- Create dynamic, live data visualizations that inform decision-making.
- Enhance datasets through advanced data enrichment techniques.
Learning objectives
- Explore cutting-edge trends in advanced AI technologies.
- Detect anomalies with precision using state-of-the-art AI techniques.
- Transition from traditional machine learning to the transformative power of generative AI.
- Unlock business potential by applying generative AI beyond simple prompting.
- Analyze real-world applications of intelligence as a service, with a focus on healthcare innovation.
Learning Objectives
- Discover the diverse roles within the data science community and their contributions.
- Develop strategies for leading technical teams and organizations effectively.
- Explore how data science teams are evolving to meet emerging challenges.
- Master change management techniques to drive organizational success.
Learning Objectives
- Embrace the transformative potential of AI and data science in today’s world.
- Discover key sources of information to stay ahead in AI and data science advancements.
- Promote responsible AI and data science practices to ensure ethical and sustainable solutions.
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.
Start Your Journey
Meet Your Instructor
Our highly trained instructors are courageous thinkers and passionate leaders who leverage years of industry expertise and up-to-date knowledge of terminology, tools, and trends to deliver an unparalleled learning experience. Through their rigorous discourse, cross-disciplinary collaboration, and field-shaping contributions, they create practical solutions and pioneering innovations that enrich our world.
These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.
Michael Colella, MS, 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.
C...
Sanjay Kumar Boddhu, PhD
Head of AI and Machine Learning Engineering, HERE Technologies
Sanjay Boddhu heads AI/ML Engineering at HERE Technologies, leaders in location data and platform services. With over fifteen years of experience, he oversees teams building advanced applications in computer vision, image processing, natural language processing, predictive analytics, and data...
Roger L. Moore, Jr., MBA
Associate Clinical Professor, University of Chicago MS in Applied Data Science, and CEO and Managing Director, NLITX
Roger Moore is an associate clinical professor in UChicago's MS in Applied Data Science program. He is also the CEO and managing director at NLITX, pursuing advanced analytics- and data-driven competitive advantage. Previously, he was VP of Analytics and Customer Operations at Entytle, where he...
Career Outlook
In today’s data-driven world, artificial intelligence and data science are transforming industries at an unprecedented pace—revolutionizing processes, optimizing decision-making, and driving technological innovation. From automotive and healthcare to media, retail, and telecommunications, an ever-expanding range of industries is seeking professionals equipped with the expertise to harness the power of AI and data science.
The average annual base pay for a CTO in the United States.
The number of C-suite executives who believe scaling AI over the next five years is crucial to the survival of their business
The anticipated annual growth rate of the AI market from 2023 to 2030.
Potential job titles for professionals with expertise in AI and data science
- 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
How Do I Get Started?
- Complete the form on the registration page.
- Pay the tuition fee through our secure gateway.
- Receive a welcome email with your login information for the virtual campus.
- Gain access to the course content prior to the start date.
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