Tell stories with data.
Journalism in the 21st century involves finding, collecting, analyzing and visualizing data for stories. The Journalism School offers foundational courses in data‐driven journalism as well as a two‐semester specialization in data journalism for students interested in advanced skills.
What We Offer
We are in the midst of a data explosion. It’s estimated that 2.5 quintillion bytes of data are created every day. Successful reporters must be equipped to make sense of data, critically assess its origins and limitations and use it to deliver accurate and compelling stories to a variety of audiences.
The Journalism School’s data offerings continue to increase and advance, allowing students to take a variety of data and computation courses along with more traditional journalism classes. Foundational courses allow those with no data experience to hone their skills in data acquisition, extraction and analysis. More advanced courses include data visualization, journalistic computing and data‐driven journalism on specific topics, such as science, U.S. politics and cross‐border reporting.
In addition, the Journalism School offers an M.S. specialization in data journalism for students who want deeper and more advanced training in data and computational skills. We also have a dual degree program in Journalism and Computer Science in which students learn the fundamentals of reporting and writing while developing a working background in computer science and software design. And The Lede certification program equips students with the computational skills to turn data into narrative.
Whatever their focus, M.S. students have many opportunities to incorporate data and data analysis into their reporting. M.A. students study statistics in Evidence & Inference and learn about data reporting in M.A. Essentials. The result is a strong grounding for all students to use data to advance their journalistic work.
In the fall, a foundational, seven-week Data I class teaches the basics of using spreadsheets and databases for reporting. For more advanced students, a Data II class explores various tools for accessing, manipulating and publishing data.
In the spring, students can choose from a selection of 15-week data journalism and computation workshops. In addition, several of the spring classes incorporate a data component in their coursework.
Please note: The classes listed here represent recent offerings at the Journalism School. Choices vary each semester depending on faculty availability and other considerations. Classes described now may change or be dropped to make room for new additions.
Lydia Namubiru '16 M.S. Data will return to Uganda and mentor others to teach and improve their data journalism skills.Read more about Lydia.
Five students collaborated with journalists around the world, mining information and stories on shipping-related topics.Read about their work.
Sonali Prasad ’16 M.S. is a Brown Institute Scholar and will be an Energy & Environment Reporting Fellow.Read more about her work at the J-School.
Director, David and Helen Gurley Brown Institute for Media Innovation & Professor of Journalism
Assistant Professor & Assistant Director, Tow Center for Digital Journalism
Director of the Data Concentration Program
Director, The Lede Program