Lev Manovich / Cultural Analytics Lab
The M.S. Program in Data Analysis and Visualization takes up data visualization and analysis as an interdisciplinary area of study that encompasses statistics, visual aesthetics, interaction design, and data literacy. Grounded in principles of data ethics and foregrounded in a critical approach to data studies, this degree program offers students the opportunity to learn about the basics of working with data and to explore fundamental concepts and methods for analyzing and interpreting data and statistics. These include how to visualize data, principles of graphic design, and media theory and history. This program will help students think critically and historically about contemporary methods and techniques for working with data.
|M.S. in Data Analysis and Visualization
November 1 for Spring
March 1 for Fall
The program’s diverse faculty and exciting, multidisciplinary approach to scholarship and teaching allow students to gain a broad understanding of data analysis and visualization. Three areas of study offer a learning path that leverages the longstanding culture of social activism at The Graduate Center. Students get to unlock the social nuances of big data and create stories by taking disparate pieces of information and weaving them together into a meaningful narrative.
WHY OUR PROGRAM?
Data — its production, curation, analysis, and visualization—impacts every area of modern society. More and more of our everyday decisions are guided by computational processing of big data. Computers recommend what route we should take, what news should we read, whom we should follow on social networks, and what music we should listen to.
In light of this, our program understands that the doing of data visualization is inseparable from thinking critically about data and digital methods. We build on the Graduate Center’s tremendous legacy of being on the political vanguard of social justice and activist movements. Our students embody this legacy as they learn to think through the complex issues around data visualization, particularly as these relate to social justice issues. Together, we are committed to leading the development of best practices for working critically and at multiple scales with data.
Learn about the Graduate Center’s Student Resources available to our students.
WHAT WILL YOU STUDY
We offer three areas of study: data analysis, data visualization, and data studies. Across all of these classes, we move from fundamental concepts and methods to more advanced methods. We help students gain practical skills in working with data and the theoretical skills to anticipate the future use of data in society, and to understand the possibilities, implications, and limitations of data. Graduates will be able to work in the industry (data analysis, data and information visualization) or to pursue doctoral studies in a range of related disciplines.
Learn about our Areas of Study.
A UNIQUE APPROACH
We combine data analysis and visualization—two practices closely aligned in practice but rarely taught together. We focus on analyzing real-world datasets and creating effective and engaging visualizations.
Our program is unlike any other because we embrace both industry and artistic approaches to data visualization, contravening the tendency to think of data as a transparent and value-neutral medium. Students learn to approach technology with a critical eye and to produce creative exploratory visualizations of data that grapple with real-world problems. This helps students understand historical trends that drive the adoption of computers, networks, algorithmic decision-making, and data analysis in a society, and this will help them to anticipate future trends.
Our courses explore data analysis and visualization, as an interdisciplinary field that incorporates data analysis, visualization, aesthetics, and ethics.
Learn about our Courses.
TAKE ADVANTAGE OF NYC
We are located in the middle of New York City (Fifth Avenue and 34th Street) so students can also learn from the rich cultural and intellectual offerings of New York Citgy, and apply for interships and jobs in leading companies in many fields.
The M.S. Program in Data Analysis and Visualization is a field of study on the Department of Homeland Security (DHS) STEM Designated Degree Program List, and meets one of the eligibility criteria required for F-1 students to apply to the USCIS for a STEM OPT extension.
Director, Associate Professor of English and Digital Humanities
Deputy Director, Associate Professor of New Media Arts
Photo credit, clockwise from top left: Rachel Ramirez (1, 3).