
Shape your strategy with future-ready tools to drive innovation
In this 6-week course, participants build the leadership capabilities needed to turn AI and data science into measurable business value. They learn how to identify high-impact opportunities, evaluate organizational readiness, select the right tools and talent, and guide AI initiatives from early-stage development to scalable implementation.
By the end of the course, participants will be prepared to create an AI strategy aligned with business goals, build stronger data science teams, and lead change across their organizations with greater confidence.
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
Explore 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
Customer Retention through Data Explore how an eco-friendly home appliance organization uses data science to better understand customer behavior. By analyzing purchase history, customer service interactions, and social media engagement, participants identify at-risk customers, uncover retention opportunities, and develop strategies to support long-term business growth.
AI Support in Healthcare Decisions Examine how AI and data mining can support physicians in high-pressure healthcare environments. Acting as a third-party validation tool, AI can help professionals double-check conclusions, reduce the risk of potential errors, and strengthen the quality and confidence of clinical decision-making.
These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current instructor is.

Head of AI/ML Engineering at HERE Technologies

Senior Director of Global Data Strategy and Analytics
Associate Clinical Professor at the University of Chicago in the MS in Applied Data Science Program and CEO and Managing Director of NLITX
Participants who successfully complete the course will receive credentials certifying completion from the University of Chicago, including a digital badge, and become part of the UChicago network.
Note: Certificates and digital badges are issued in the name used during program registration. Images are for illustrative purposes and may be updated at the discretion of the University of Chicago.
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
Applicable taxes will be calculated and added at checkout in accordance with country/state regulations.
Didn't find what you were looking for? Schedule a call with one of our Program Advisors or call us at +1 315 810 9499.
Starts on