
Shape your strategy with future-ready tools to drive innovation.
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.
Why Is This Program Valuable for Leaders?
Defining Data Science and AI
Data Platforms vs. Data Models vs. Algorithms
Supervised vs. Unsupervised Learning
Classification vs. Regression vs. Clustering
Descriptive vs. Diagnostic vs. Predictive vs. Prescriptive Analytics
Economic Value Estimation
How Do You Spec Out a DS/AI Project?
Establishing KPIs
Monitoring Success
Turning Insights into Action
Data Privacy and Compliance
Sourcing Data for Insights
Data Visualization - Live Boards
Data Enrichment
Advanced AI Trends
Anomaly Detection
Anomaly Detection II
From Traditional ML to Generative AI
Beyond Prompting: Business Applications
Intelligence as a Service: Case from the Healthcare Industry
The Community of Roles within Data Science
Leading Technical Teams and Organizations
How Teams Are Evolving
Change Management
Embracing AI and Data Science
Sources of Information on AI and Data Science
Responsible AI And Data Science
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.
These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.

Head of AI/ML Engineering at HERE Technologies

Senior Director of Global Data Strategy and Analytics, AXS
Associate Clinical Professor at the University of Chicago in the MS in Applied Data Science Program and CEO and Managing Director of NLITX
Managers seeking to deepen their understanding of AI to advance their careers.
Professionals collaborating with technical teams to leverage analytics for organizational success.
Leaders aiming to build and guide AI-driven business models effectively.
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