Course Detail (Course Description By Faculty)

Analytics with AI (43800, 50 Unit Course)

Artificial intelligence is reshaping the practice of analytics. In many organizations, AI now sits alongside dashboards, spreadsheets, statistical models, and business intelligence tools as a practical means of asking questions, interrogating data, summarizing evidence, generating code, and communicating insights.

This course provides an applied introduction to Analytics with AI for executives. The emphasis is not on becoming programmers or machine learning specialists. Instead, the course focuses on how AI changes the analytic process itself: how it can improve the productivity of analysts, expand the types of data that can be analyzed, support new forms of evaluation and measurement, and help teams build lightweight analytic products and workflows.

Across five sessions, the course will combine a general framework component with a practicum component. Sessions will remain intentionally broad enough to adapt to participant interests, while still giving a clear view of the main ideas, tools, and organizational implications of AI-enabled analytics.

Cannot enroll if 32210 or 43100 taken previously: strict.
  • No non-Booth Students
  • Strict Prerequisite
  • No pass/fail grades
Description and/or course criteria last updated: April 15 2026
SCHEDULE
  • Summer 2026
    Section: 43800-88
    08/03, 08/04, 08/06, 08/07, 08/08
    EMBA1 2:00 PM-5:00 PM
    Gleacher Center
    308
    50 Unit Course
    In-Person Only

Analytics with AI (43800, 50 Unit Course) - Misra, Sanjog>>

Artificial intelligence is reshaping the practice of analytics. In many organizations, AI now sits alongside dashboards, spreadsheets, statistical models, and business intelligence tools as a practical means of asking questions, interrogating data, summarizing evidence, generating code, and communicating insights.

This course provides an applied introduction to Analytics with AI for executives. The emphasis is not on becoming programmers or machine learning specialists. Instead, the course focuses on how AI changes the analytic process itself: how it can improve the productivity of analysts, expand the types of data that can be analyzed, support new forms of evaluation and measurement, and help teams build lightweight analytic products and workflows.

Across five sessions, the course will combine a general framework component with a practicum component. Sessions will remain intentionally broad enough to adapt to participant interests, while still giving a clear view of the main ideas, tools, and organizational implications of AI-enabled analytics.

Cannot enroll if 32210 or 43100 taken previously: strict.
  • No non-Booth Students
  • Strict Prerequisite
  • No pass/fail grades
Description and/or course criteria last updated: April 15 2026
SCHEDULE
  • Summer 2026
    Section: 43800-88
    08/03, 08/04, 08/06, 08/07, 08/08
    EMBA1 2:00 PM-5:00 PM
    Gleacher Center
    308
    50 Unit Course
    In-Person Only