Critical Thinking and Decision Science

Sharpen how you actually make decisions

Offered by the University of Michigan, this Specialization sits at an intermediate level and has attracted 2,835 students so far — a smaller, more focused audience than a typical intro course, which tracks with its more analytical bent.

Core skills covered

• Mathematical and predictive modeling for decision-making
• Using probability and statistics to weigh strategic choices
• Applying GenAI prompts alongside classical decision science tools

This is a good match for professionals who already make decisions under uncertainty — product managers, analysts, or team leads — and want to replace gut instinct with structured models. Because it's intermediate, some comfort with basic statistics or systems thinking will help you get more out of the material than a total beginner would.