Journalism Program
We’re passionate about storytelling + data.
Right now, work at Stanford and the broader Silicon Valley is changing the way stories are discovered, told, and transmitted. We are part of that transformation, empowering students to produce work that is multimedia, data-intensive, entrepreneurial, and influenced by design thinking.
Be a part of this innovation. See our mission statement. Read a message from Director James T. Hamilton >
Learn about our master’s program
Finding the hidden stories in data.
We love storytelling. And at a time where data is everywhere, we’re training students to have the tech know-how to discover stories using data skills and how to effectively tell those stories using multimedia.
What you’ll learn in our classes
Beat Reporting and Source Building
In News Reporting class, Brianna Sosa and Olivia Raykhman (MA 2026) covered a contentious sheriff selection process in San Mateo County, producing four stories that traced the historic ouster of the previous sheriff to officials’ announcement of a new leader for the county’s top law-enforcement agency.
A launchpad to newsrooms across the globe
Stanford Journalism alumni are in newsrooms, media organizations and tech companies throughout the world, including The New York Times, The Washington Post, The Wall Street Journal, Politico, Fast Company, The Verge and Google News.
Alumni Highlights
Faculty with newsroom and academic expertise
Our faculty bring a combination of industry expertise and academic accomplishment to the classroom, from The Associated Press, Bloomberg News, the San Jose Mercury News, The Seattle Times, CNET, The New York Times and The Washington Post.
Interdisciplinary innovation in the heart of Silicon Valley
You’ll build the most innovative storytelling and data including:
Data literacy and investigative methodology — how to ask the right questions of a dataset, spot what's missing, and verify that your analysis is accurate
Visualization for insight and communication — not just how to make charts, but which chart, why, and what it reveals about the story
Computational thinking — decomposing complex problems into auditable steps, reading and evaluating code, and understanding what AI-generated analysis is actually doing
AI-assisted workflows — how to work alongside AI tools rigorously and responsibly, including how to catch the errors that don't announce themselves
Professional tooling — the development ecosystem that modern data newsrooms run on
Our Partners
